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2020 – today
- 2024
[j111]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron M. Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz:
A review of evaluation approaches for explainable AI with applications in cardiology. Artif. Intell. Rev. 57(9): 240 (2024)- [j110]Soumick Chatterjee
, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. J. Imaging 10(2): 45 (2024) - [j109]Amir Sezavar, Hassan Farsi, Sajad Mohamadzadeh, Petia Radeva:
A new person re-identification method by defining CNN-based feature extractor and sparse representation. Multim. Tools Appl. 83(4): 11043-11059 (2024) - [j108]Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva:
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. Neural Networks 172: 106122 (2024) - [j107]Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva:
Decoding class dynamics in learning with noisy labels. Pattern Recognit. Lett. 184: 239-245 (2024) - [c207]Umair Haroon, Ahmad AlMughrabi, Ricardo Marques, Petia Radeva:
MVSBoost: An Efficient Point Cloud-Based 3D Reconstruction. CCIA 2024: 223-232 - [c206]Riccardo Smeriglio, Joana Rosell-Mirmi, Petia Radeva, Jordi Abante:
Leveraging protein-protein interactions in phenotype prediction through graph neural networks. CIBCB 2024: 1-8 - [c205]Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva:
LOFI: LOng-tailed FIne-Grained Network for Food Recognition. CVPR Workshops 2024: 3750-3760 - [c204]Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva:
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis. VISIGRAPP (2): VISAPP 2024: 624-631 - [e23]Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 2: VISAPP, Rome, Italy, February 27-29, 2024. SCITEPRESS 2024, ISBN 978-989-758-679-8 [contents] - [e22]Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 3: VISAPP, Rome, Italy, February 27-29, 2024. SCITEPRESS 2024, ISBN 978-989-758-679-8 [contents] - [e21]Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 4: VISAPP, Rome, Italy, February 27-29, 2024. SCITEPRESS 2024, ISBN 978-989-758-679-8 [contents] - [i63]Umair Haroon, Ahmad AlMughrabi, Ricardo Marques, Petia Radeva:
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction. CoRR abs/2406.13515 (2024) - [i62]Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva:
VolETA: One- and Few-shot Food Volume Estimation. CoRR abs/2407.01717 (2024) - [i61]Ahmad AlMughrabi, Ricardo Marques, Petia Radeva:
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering. CoRR abs/2407.02668 (2024) - [i60]Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
Precision at Scale: Domain-Specific Datasets On-Demand. CoRR abs/2407.03463 (2024) - [i59]Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward J. Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang:
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. CoRR abs/2407.09285 (2024) - [i58]Ahmad AlMughrabi, Adrián Galán, Ricardo Marques, Petia Radeva:
FoodMem: Near Real-time and Precise Food Video Segmentation. CoRR abs/2407.12121 (2024) - 2023
- [j106]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network. J. Ambient Intell. Humaniz. Comput. 14(9): 11985-12004 (2023) - [j105]Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva:
Deep ensemble-based hard sample mining for food recognition. J. Vis. Commun. Image Represent. 95: 103905 (2023) - [j104]Martín Menchón, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams. Pervasive Mob. Comput. 95: 101846 (2023) - [j103]Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi:
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [c203]Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva:
CCLM: Class-Conditional Label Noise Modelling. IbPRIA 2023: 3-14 - [c202]Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. ICCV 2023: 16197-16207 - [c201]Imanol González Estepa, Jesús M. Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva:
Good Fences Make Good Neighbours. ICCV (Workshops) 2023: 216-226 - [c200]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) 2023: 3436-3446 - [c199]Pierfrancesco Bruni, Alex Falcon, Petia Radeva:
Time-Aware Circulant Matrices for Question-Based Temporal Localization. ICIAP (2) 2023: 182-195 - [c198]Petia Radeva:
Self-Supervised Fine-Grained Food Recognition. ICPRAM 2023: 5 - [c197]Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. MADiMa@MM 2023: 43-52 - [c196]David Dueñas Gaviria, Md Mostafa Kamal Saker, Petia Radeva:
Efficient Deep Learning Ensemble for Skin Lesion Classification. VISIGRAPP (5: VISAPP) 2023: 303-314 - [e20]A. Augusto de Sousa, Vlastimil Havran, Alexis Paljic, Tabitha C. Peck, Christophe Hurter, Helen C. Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8-10, 2021, Revised Selected Papers. Communications in Computer and Information Science 1691, Springer 2023, ISBN 978-3-031-25476-5 [contents] - [e19]A. Augusto de Sousa, Kurt Debattista, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen C. Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Computer Vision, Imaging and Computer Graphics Theory and Applications - 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6-8, 2022, Revised Selected Papers. Communications in Computer and Information Science 1815, Springer 2023, ISBN 978-3-031-45724-1 [contents] - [e18]Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 4: VISAPP, Lisbon, Portugal, February 19-21, 2023. SCITEPRESS 2023, ISBN 978-989-758-634-7 [contents] - [e17]Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 5: VISAPP, Lisbon, Portugal, February 19-21, 2023. SCITEPRESS 2023, ISBN 978-989-758-634-7 [contents] - [i57]Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasua, Bhalaji Nagarajan, Petia Radeva:
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. CoRR abs/2303.09269 (2023) - [i56]Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. CoRR abs/2303.09417 (2023) - [i55]Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva:
Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields. CoRR abs/2303.12234 (2023) - [i54]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva:
Characterizing the contribution of dependent features in XAI methods. CoRR abs/2304.01717 (2023) - [i53]Ahmed M. A. Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Gloria Menegaz, Karim Lekadir:
Commentary on explainable artificial intelligence methods: SHAP and LIME. CoRR abs/2305.02012 (2023) - [i52]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR abs/2309.02995 (2023) - [i51]Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention. CoRR abs/2310.11896 (2023) - [i50]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder. CoRR abs/2310.11910 (2023) - 2022
- [j102]Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva:
Uncertainty-aware selecting for an ensemble of deep food recognition models. Comput. Biol. Medicine 146: 105645 (2022) - [j101]Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva:
Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. 103: 108380 (2022) - [j100]Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Ahmed M. A. Salih, Petia Radeva, Silvia Francesca Storti, Gloria Menegaz:
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges. IEEE Signal Process. Mag. 39(2): 99-116 (2022) - [j99]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c195]Rishesh Agarwal, Manisha Das, Deep Gupta, Petia Radeva:
Video Colorization Using Modified Autoencoder Generative Adversarial Networks. CVIP (1) 2022: 304-315 - [c194]Nil Ballús, Bhalaji Nagarajan, Petia Radeva:
Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition. IbPRIA 2022: 655-666 - [c193]Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra:
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. ICIP 2022: 2331-2335 - [c192]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Petia Radeva:
Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods. ICIP 2022: 4003-4007 - [c191]Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) 2022: 514-524 - [c190]Javier Ródenas, Bhalaji Nagarajan, Marc Bolaños, Petia Radeva:
Learning Multi-Subset of Classes for Fine-Grained Food Recognition. MADiMa @ ACM Multimedia 2022: 17-26 - [c189]Dhruvi Shah, Hareshwar Wani, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion. NCC 2022: 172-177 - [c188]Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, Petia Radeva:
Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty. SPCOM 2022: 1-5 - [c187]Bhalaji Nagarajan, Ricardo Marques, Marcos Mejia, Petia Radeva:
Class-conditional Importance Weighting for Deep Learning with Noisy Labels. VISIGRAPP (5: VISAPP) 2022: 679-686 - [e16]Kadi Bouatouch, A. Augusto de Sousa, Manuela Chessa, Alexis Paljic, Andreas Kerren, Christophe Hurter, Giovanni Maria Farinella, Petia Radeva, José Braz:
Computer Vision, Imaging and Computer Graphics Theory and Applications - 15th International Joint Conference, VISIGRAPP 2020 Valletta, Malta, February 27-29, 2020, Revised Selected Papers. Communications in Computer and Information Science 1474, Springer 2022, ISBN 978-3-030-94892-4 [contents] - [e15]Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 4: VISAPP, Online Streaming, February 6-8, 2022. SCITEPRESS 2022, ISBN 978-989-758-555-5 [contents] - [e14]Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 5: VISAPP, Online Streaming, February 6-8, 2022. SCITEPRESS 2022, ISBN 978-989-758-555-5 [contents] - [i49]Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. CoRR abs/2203.08878 (2022) - [i48]Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra:
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. CoRR abs/2203.12350 (2022) - 2021
- [j98]Alina Matei, Andreea Glavan, Petia Radeva, Estefanía Talavera:
Towards Eating Habits Discovery in Egocentric Photo-Streams. IEEE Access 9: 17495-17506 (2021) - [j97]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain. Biomed. Signal Process. Control. 68: 102535 (2021) - [j96]Giuseppe Pezzano, Oliver Díaz, Vicent J. Ribas Ripoll, Petia Radeva:
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation. Comput. Biol. Medicine 136: 104689 (2021) - [j95]Giuseppe Pezzano, Vicent J. Ribas Ripoll, Petia Radeva:
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation. Comput. Methods Programs Biomed. 198: 105792 (2021) - [j94]Andreea Glavan, Alina Matei, Petia Radeva, Estefanía Talavera:
Does our social life influence our nutritional behaviour? Understanding nutritional habits from egocentric photo-streams. Expert Syst. Appl. 171: 114506 (2021) - [j93]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser:
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 183: 115433 (2021) - [j92]Petia Radeva, Giovanni Maria Farinella:
Editorial: Computer Vision Theory and Applications at VISAPP 2020. Int. J. Pattern Recognit. Artif. Intell. 35(16): 2102002:1-2102002:4 (2021) - [j91]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization. Int. J. Imaging Syst. Technol. 31(4): 2170-2188 (2021) - [c186]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva:
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. CBMS 2021: 492-497 - [c185]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model. PReMI 2021: 233-241 - [e13]Giovanni Maria Farinella, Petia Radeva, José Braz, Kadi Bouatouch:
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 4: VISAPP, Online Streaming, February 8-10, 2021. SCITEPRESS 2021, ISBN 978-989-758-488-6 [contents] - [e12]Giovanni Maria Farinella, Petia Radeva, José Braz, Kadi Bouatouch:
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021. SCITEPRESS 2021, ISBN 978-989-758-488-6 [contents] - [i47]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Modeling long-term interactions to enhance action recognition. CoRR abs/2104.11520 (2021) - 2020
- [j90]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Activities of Daily Living Monitoring via a Wearable Camera: Toward Real-World Applications. IEEE Access 8: 77344-77363 (2020) - [j89]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network. IET Image Process. 14(16): 4291-4305 (2020) - [j88]Khalid El Asnaoui, Petia Radeva:
Automatically Assess Day Similarity Using Visual Lifelogs. J. Intell. Syst. 29(1): 298-310 (2020) - [j87]Estefanía Talavera, Carolin Wuerich, Nicolai Petkov, Petia Radeva:
Topic modelling for routine discovery from egocentric photo-streams. Pattern Recognit. 104: 107330 (2020) - [j86]Eduardo Aguilar, Petia Radeva:
Uncertainty-aware integration of local and flat classifiers for food recognition. Pattern Recognit. Lett. 136: 237-243 (2020) - [j85]Margaríta Torre, Beatriz Remeseiro, Petia Radeva, Fernando Martínez:
DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 726-737 (2020) - [j84]Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. IEEE J. Biomed. Health Informatics 24(3): 866-877 (2020) - [c184]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC (Selected Papers) 2020: 3-16 - [c183]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC 2020: 9-16 - [c182]Petia Radeva:
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis. DeLTA 2020: 5 - [c181]Martín Menchón, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural Pattern Discovery from Collections of Egocentric Photo-Streams. ECCV Workshops (4) 2020: 469-484 - [c180]Petia Radeva:
DVAE-SR: denoiser variational auto-encoder and super-resolution to counter adversarial attacks. ICMV 2020: 1160522 - [c179]Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli:
Understanding Event Boundaries for Egocentric Activity Recognition from Photo-Streams. ICPR Workshops (3) 2020: 334-347 - [c178]Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva:
S2ML-TL Framework for Multi-label Food Recognition. ICPR Workshops (5) 2020: 629-646 - [c177]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty-Aware Data Augmentation for Food Recognition. ICPR 2020: 4017-4024 - [c176]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Modeling Long-Term Interactions to Enhance Action Recognition. ICPR 2020: 10351-10358 - [c175]Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giró-i-Nieto:
Automatic Reminiscence Therapy for Dementia. ICMR 2020: 383-387 - [e11]Giovanni Maria Farinella, Petia Radeva, José Braz:
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 4: VISAPP, Valletta, Malta, February 27-29, 2020. SCITEPRESS 2020, ISBN 978-989-758-402-2 [contents] - [e10]Giovanni Maria Farinella, Petia Radeva, José Braz:
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 5: VISAPP, Valletta, Malta, February 27-29, 2020. SCITEPRESS 2020, ISBN 978-989-758-402-2 [contents] - [i46]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images. CoRR abs/2006.02570 (2020) - [i45]Martín Menchón, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural pattern discovery from collections of egocentric photo-streams. CoRR abs/2008.09561 (2020) - [i44]Estefanía Talavera, Andreea Glavan, Alina Matei, Petia Radeva:
Eating Habits Discovery in Egocentric Photo-streams. CoRR abs/2009.07646 (2020)
2010 – 2019
- 2019
- [j83]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. IEEE Access 7: 39069-39082 (2019) - [j82]Stefan Lonn, Petia Radeva, Mariella Dimiccoli:
Smartphone picture organization: A hierarchical approach. Comput. Vis. Image Underst. 187 (2019) - [j81]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Regularized uncertainty-based multi-task learning model for food analysis. J. Vis. Commun. Image Represent. 60: 360-370 (2019) - [c174]Eduardo Aguilar, Petia Radeva:
Class-Conditional Data Augmentation Applied to Image Classification. CAIP (2) 2019: 182-192 - [c173]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised Routine Discovery in Egocentric Photo-Streams. CAIP (1) 2019: 576-588 - [c172]Md. Mostafa Kamal Sarker, Syeda Furruka Banu, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Sylvie Chambon, Petia Radeva, Domenec Puig:
Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA 2019: 145-151 - [c171]Eduardo Aguilar, Petia Radeva:
Food Recognition by Integrating Local and Flat Classifiers. IbPRIA (1) 2019: 65-74 - [c170]Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
Seeing and Hearing Egocentric Actions: How Much Can We Learn? ICCV Workshops 2019: 4470-4480 - [c169]Emanuel Sánchez Aimar, Petia Radeva, Mariella Dimiccoli:
Social Relation Recognition in Egocentric Photostreams. ICIP 2019: 3227-3231 - [i43]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-identification and Social Pattern Analysis. CoRR abs/1905.04073 (2019) - [i42]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised routine discovery in egocentric photo-streams. CoRR abs/1905.04076 (2019) - [i41]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. CoRR abs/1905.04093 (2019) - [i40]Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical approach to classify food scenes in egocentric photo-streams. CoRR abs/1905.04097 (2019) - [i39]Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Emotion Retrieval in Egocentric PhotoStream. CoRR abs/1905.04107 (2019) - [i38]Emanuel Sanchez Aimar, Petia Radeva, Mariella Dimiccoli:
Social Relation Recognition in Egocentric Photostreams. CoRR abs/1905.04734 (2019) - [i37]Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
How Much Does Audio Matter to Recognize Egocentric Object Interactions? CoRR abs/1906.00634 (2019) - [i36]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Syeda Furruka Banu, Farhan Akram, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig:
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. CoRR abs/1907.00856 (2019) - [i35]Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
Seeing and Hearing Egocentric Actions: How Much Can We Learn? CoRR abs/1910.06693 (2019) - [i34]Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giró-i-Nieto:
Automatic Reminiscence Therapy for Dementia. CoRR abs/1910.11949 (2019) - 2018
- [j80]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, Narendra N. Khanna, Jasjit S. Suri:
Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review. Comput. Biol. Medicine 101: 184-198 (2018) - [j79]Maedeh Aghaei, Mariella Dimiccoli, Cristian Canton-Ferrer, Petia Radeva:
Towards social pattern characterization in egocentric photo-streams. Comput. Vis. Image Underst. 171: 104-117 (2018) - [j78]Marc Bolaños, Álvaro Peris, Francisco Casacuberta, Sergi Soler, Petia Radeva:
Egocentric video description based on temporally-linked sequences. J. Vis. Commun. Image Represent. 50: 205-216 (2018) - [j77]Mariella Dimiccoli, Cathal Gurrin, David J. Crandall, Xavier Giró-i-Nieto, Petia Radeva:
Introduction to the special issue: Egocentric Vision and Lifelogging. J. Vis. Commun. Image Represent. 55: 352-353 (2018) - [j76]Alejandro Cartas, Juan Marín, Petia Radeva, Mariella Dimiccoli:
Batch-based activity recognition from egocentric photo-streams revisited. Pattern Anal. Appl. 21(4): 953-965 (2018) - [j75]Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva:
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. IEEE Trans. Multim. 20(12): 3266-3275 (2018) - [c168]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-Identification and Social Pattern Analysis. APPIS 2018: 203-211 - [c167]Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Vivek Kumar Singh, Antonio Moreno, Petia Radeva, Domenec Puig:
CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network. CCIA 2018: 365-372 - [c166]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams. ECCV Workshops (5) 2018: 423-433 - [c165]Marc Bolaños, Marc Valdivia, Petia Radeva:
Where and What Am I Eating? Image-Based Food Menu Recognition. ECCV Workshops (6) 2018: 590-605 - [c164]Aina Ferrà, Eduardo Aguilar, Petia Radeva:
Multiple Wavelet Pooling for CNNs. ECCV Workshops (4) 2018: 671-675 - [c163]Stefan Schurischuster, Beatriz Remeseiro, Petia Radeva, Martin Kampel:
A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees. ICIAR 2018: 465-473 - [c162]Simone Balocco, Mauricio González, Ricardo Ñanculef, Petia Radeva, Gabriel Thomas:
Calcified Plaque Detection in IVUS Sequences: Preliminary Results Using Convolutional Nets. IWAIPR 2018: 34-42 - [c161]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) 2018: 21-29 - [e9]Antanas Verikas, Dmitry P. Nikolaev, Petia Radeva, Jianhong Zhou:
Eleventh International Conference on Machine Vision, ICMV 2018, Munich, Germany, 1-3 November 2018. SPIE Proceedings 11041, SPIE 2018 [contents] - [i33]Stefan Lonn, Petia Radeva, Mariella Dimiccoli:
A picture is worth a thousand words but how to organize thousands of pictures? CoRR abs/1803.05940 (2018) - [i32]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR abs/1805.10241 (2018) - [i31]Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. CoRR abs/1805.12081 (2018) - [i30]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams. CoRR abs/1808.09829 (2018) - [i29]Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli:
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams. CoRR abs/1809.00402 (2018) - 2017
- [j74]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri:
Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos. Comput. Biol. Medicine 84: 168-181 (2017) - [j73]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri:
Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm. Comput. Biol. Medicine 91: 198-212 (2017) - [j72]Mariella Dimiccoli, Marc Bolaños, Estefanía Talavera, Maedeh Aghaei, Stavri G. Nikolov, Petia Radeva:
SR-clustering: Semantic regularized clustering for egocentric photo streams segmentation. Comput. Vis. Image Underst. 155: 55-69 (2017) - [j71]Yan Yan, Yahong Han, Petia Radeva, Qi Tian:
Guest Editorial: Intermediate representation for vision and multimedia applications. J. Vis. Commun. Image Represent. 44: 227-228 (2017) - [j70]Marc Bolaños, Mariella Dimiccoli, Petia Radeva:
Toward Storytelling From Visual Lifelogging: An Overview. IEEE Trans. Hum. Mach. Syst. 47(1): 77-90 (2017) - [j69]Karim Lekadir, Alfiia Galimzianova, Àngels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva, Sandy Napel:
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. IEEE J. Biomed. Health Informatics 21(1): 48-55 (2017) - [c160]Md. Mostafa Kamal Sarker, Maria Leyva, Adel Saleh, Vivek Kumar Singh, Farhan Akram, Petia Radeva, Domenec Puig:
FoodPlaces: Learning Deep Features for Food Related Scene Understanding. CCIA 2017: 156-165 - [c159]Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Egocentric Sentiment Analysis. EUROCAST (2) 2017: 297-305 - [c158]Alejandro Cartas, Mariella Dimiccoli, Petia Radeva:
Detecting Hands in Egocentric Videos: Towards Action Recognition. EUROCAST (2) 2017: 330-338 - [c157]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Exploring Food Detection Using CNNs. EUROCAST (2) 2017: 339-347 - [c156]Maedeh Aghaei, Federico Parezzan, Mariella Dimiccoli, Petia Radeva, Marco Cristani:
Clothing and People - A Social Signal Processing Perspective. FG 2017: 532-537 - [c155]Alejandro Cartas, Juan Marín, Petia Radeva, Mariella Dimiccoli:
Recognizing Activities of Daily Living from Egocentric Images. IbPRIA 2017: 87-95 - [c154]Gabriel Oliveira-Barra, Mariella Dimiccoli, Petia Radeva:
Leveraging Activity Indexing for Egocentric Image Retrieval. IbPRIA 2017: 295-303 - [c153]Marc Bolaños, Álvaro Peris, Francisco Casacuberta, Petia Radeva:
VIBIKNet: Visual Bidirectional Kernelized Network for Visual Question Answering. IbPRIA 2017: 372-380 - [c152]Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva:
Sentiment Recognition in Egocentric Photostreams. IbPRIA 2017: 471-479 - [c151]Alejandro Cartas, Mariella Dimiccoli, Petia Radeva:
Batch-Based Activity Recognition from Egocentric Photo-Streams. ICCV Workshops 2017: 2347-2354 - [c150]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Food Recognition Using Fusion of Classifiers Based on CNNs. ICIAP (2) 2017: 213-224 - [c149]Marc Bolaños, Aina Ferrà, Petia Radeva:
Food Ingredients Recognition Through Multi-label Learning. ICIAP Workshops 2017: 394-402 - [c148]Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva:
All the people around me: Face discovery in egocentric photo-streams. ICIP 2017: 1342-1346 - [c147]Simone Balocco, Francesco Ciompi, Juan Rigla, Xavier Carrillo, Josepa Mauri, Petia Radeva:
Intra-coronary Stent Localization in Intravascular Ultrasound Sequences, A Preliminary Study. CVII-STENT/LABELS@MICCAI 2017: 12-19 - [c146]Aniol Lidon, Marc Bolaños, Mariella Dimiccoli, Petia Radeva, Maite Garolera, Xavier Giró-i-Nieto:
Semantic Summarization of Egocentric Photo Stream Events. LTA@MM 2017: 3-11 - [c145]Cathal Gurrin, Xavier Giró-i-Nieto, Petia Radeva, Mariella Dimiccoli, Duc-Tien Dang-Nguyen, Hideo Joho:
LTA 2017: The Second Workshop on Lifelogging Tools and Applications. ACM Multimedia 2017: 1967-1968 - [e8]Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev, Jianhong Zhou:
Tenth International Conference on Machine Vision, ICMV 2017, Vienna, Austria, 13-15 November 2017. SPIE Proceedings 10696, SPIE 2017, ISBN 9781510619418 [contents] - [e7]Cathal Gurrin, Xavier Giró-i-Nieto, Petia Radeva, Duc-Tien Dang-Nguyen, Mariella Dimiccoli, Hideo Joho:
Proceedings of the 2nd Workshop on Lifelogging Tools and Applications, LTA@MM 2017, Mountain View, CA, USA, October 23, 2017. ACM 2017, ISBN 978-1-4503-5503-2 [contents] - [i28]Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva:
All the people around me: face discovery in egocentric photo-streams. CoRR abs/1703.01790 (2017) - [i27]Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva:
Sentiment Recognition in Egocentric Photostreams. CoRR abs/1703.09933 (2017) - [i26]Marc Bolaños, Álvaro Peris, Francisco Casacuberta, Sergi Soler, Petia Radeva:
Egocentric Video Description based on Temporally-Linked Sequences. CoRR abs/1704.02163 (2017) - [i25]Maedeh Aghaei, Federico Parezzan, Mariella Dimiccoli, Petia Radeva, Marco Cristani:
Clothing and People - A Social Signal Processing Perspective. CoRR abs/1704.02231 (2017) - [i24]Estefanía Talavera, Mariella Dimiccoli, Marc Bolaños, Maedeh Aghaei, Petia Radeva:
R-Clustering for Egocentric Video Segmentation. CoRR abs/1704.02809 (2017) - [i23]Alejandro Cartas, Juan Marín, Petia Radeva, Mariella Dimiccoli:
Recognizing Activities of Daily Living from Egocentric Images. CoRR abs/1704.04097 (2017) - [i22]Marc Bolaños, Aina Ferrà, Petia Radeva:
Food Ingredients Recognition through Multi-label Learning. CoRR abs/1707.08816 (2017) - [i21]Alejandro Cartas, Mariella Dimiccoli, Petia Radeva:
Batch-Based Activity Recognition from Egocentric Photo-Streams. CoRR abs/1708.07889 (2017) - [i20]Maedeh Aghaei, Mariella Dimiccoli, Cristian Canton-Ferrer, Petia Radeva:
Towards social pattern characterization in egocentric photo-streams. CoRR abs/1709.01424 (2017) - [i19]Alejandro Cartas, Mariella Dimiccoli, Petia Radeva:
Detecting Hands in Egocentric Videos: Towards Action Recognition. CoRR abs/1709.02780 (2017) - [i18]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Exploring Food Detection using CNNs. CoRR abs/1709.04800 (2017) - [i17]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Food Recognition using Fusion of Classifiers based on CNNs. CoRR abs/1709.04864 (2017) - [i16]Maedeh Aghaei, Mariella Dimiccoli, Cristian Canton-Ferrer, Petia Radeva:
Social Style Characterization from Egocentric Photo-streams. CoRR abs/1709.05775 (2017) - [i15]Alejandro Cartas, Juan Marín, Petia Radeva, Mariella Dimiccoli:
Recognizing Daily Activities from Egocentric Photo-Streams. CoRR abs/1710.04112 (2017) - [i14]Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva:
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants. CoRR abs/1711.05128 (2017) - 2016
- [j68]Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Generic feature learning for wireless capsule endoscopy analysis. Comput. Biol. Medicine 79: 163-172 (2016) - [j67]Sumit K. Banchhor, Tadashi Araki, Narendra D. Londhe, Nobutaka Ikeda, Petia Radeva, Ayman El-Baz, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri:
Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach. Comput. Methods Programs Biomed. 134: 237-258 (2016) - [j66]Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva:
Multi-face tracking by extended bag-of-tracklets in egocentric photo-streams. Comput. Vis. Image Underst. 149: 146-156 (2016) - [j65]Tadashi Araki, Sumit K. Banchhor, Narendra D. Londhe, Nobutaka Ikeda, Petia Radeva, Devarshi Shukla, Luca Saba, Antonella Balestrieri, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri:
Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos. J. Medical Syst. 40(3): 51:1-51:20 (2016) - [c144]Petia Radeva:
Can Deep Learning and Egocentric Vision for Visual Lifelogging Help Us Eat Better? CCIA 2016: 4 - [c143]Gabriel Oliveira-Barra, Mariella Dimiccoli, Petia Radeva:
Egocentric Image Retrieval with Convolutional Neural Networks. CCIA 2016: 71-76 - [c142]Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Deep Learning Features for Wireless Capsule Endoscopy Analysis. CIARP 2016: 326-333 - [c141]Álvaro Peris, Marc Bolaños, Petia Radeva, Francisco Casacuberta:
Video Description Using Bidirectional Recurrent Neural Networks. ICANN (2) 2016: 3-11 - [c140]Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva:
With whom do I interact? Detecting social interactions in egocentric photo-streams. ICPR 2016: 2959-2964 - [c139]Marc Bolaños, Petia Radeva:
Simultaneous food localization and recognition. ICPR 2016: 3140-3145 - [c138]Cathal Gurrin, Xavier Giró-i-Nieto, Petia Radeva, Mariella Dimiccoli, Håvard D. Johansen, Hideo Joho, Vivek K. Singh:
LTA 2016: The First Workshop on Lifelogging Tools and Applications. ACM Multimedia 2016: 1487-1488 - [c137]Gabriel de Oliveira Barra, Alejandro Cartas Ayala, Marc Bolaños, Mariella Dimiccoli, Xavier Giró-i-Nieto, Petia Radeva:
LEMoRe: A Lifelog Engine for Moments Retrieval at the NTCIR-Lifelog LSAT Task. NTCIR 2016 - [e6]Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev, Wei Zhang, Jianhong Zhou:
Ninth International Conference on Machine Vision, ICMV 2016, Nice, France, 18-20 November 2016. SPIE Proceedings 10341, SPIE 2016, ISBN 9781510611313 [contents] - [e5]Cathal Gurrin, Xavier Giró-i-Nieto, Petia Radeva, Hideo Joho, Håvard D. Johansen, Vivek K. Singh, Mariella Dimiccoli:
Proceedings of the first Workshop on Lifelogging Tools and Applications, LTA@MM 2016, Amsterdam, Netherlands, October 15 - 19, 2016. ACM 2016, ISBN 978-1-4503-4517-0 [contents] - [i13]Álvaro Peris, Marc Bolaños, Petia Radeva, Francisco Casacuberta:
Video Description using Bidirectional Recurrent Neural Networks. CoRR abs/1604.03390 (2016) - [i12]Marc Bolaños, Petia Radeva:
Simultaneous Food Localization and Recognition. CoRR abs/1604.07953 (2016) - [i11]Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva:
With Whom Do I Interact? Detecting Social Interactions in Egocentric Photo-streams. CoRR abs/1605.04129 (2016) - [i10]Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Generic Feature Learning for Wireless Capsule Endoscopy Analysis. CoRR abs/1607.07604 (2016) - [i9]Pedro Herruzo, Marc Bolaños, Petia Radeva:
Can a CNN Recognize Catalan Diet? CoRR abs/1607.08811 (2016) - [i8]Marc Bolaños, Álvaro Peris, Francisco Casacuberta, Petia Radeva:
VIBIKNet: Visual Bidirectional Kernelized Network for Visual Question Answering. CoRR abs/1612.03628 (2016) - 2015
- [j64]Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Motility bar: A new tool for motility analysis of endoluminal videos. Comput. Biol. Medicine 65: 320-330 (2015) - [j63]Tadashi Araki, Nobutaka Ikeda, Nilanjan Dey, Sayan Chakraborty, Luca Saba, Dinesh Kumar, Elisa Cuadrado Godia, Xiaoyi Jiang, Ajay Gupta, Petia Radeva, John R. Laird, Andrew Nicolaides, Jasjit S. Suri:
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound. Comput. Methods Programs Biomed. 118(2): 158-172 (2015) - [j62]Adriana Romero, Petia Radeva, Carlo Gatta:
Meta-Parameter Free Unsupervised Sparse Feature Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1716-1722 (2015) - [c136]Jordina Torrents-Barrena, Aïda Valls, Petia Radeva, Meritxell Arenas, Domenec Puig:
Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis. CCIA 2015: 247-256 - [c135]Marc Bolaños, Maite Garolera, Petia Radeva:
Object Discovery Using CNN Features in Egocentric Videos. IbPRIA 2015: 67-74 - [c134]Estefanía Talavera, Mariella Dimiccoli, Marc Bolaños, Maedeh Aghaei, Petia Radeva:
R-Clustering for Egocentric Video Segmentation. IbPRIA 2015: 327-336 - [c133]Marc Bolaños, Ricard Mestre, Estefanía Talavera, Xavier Giró-i-Nieto, Petia Radeva:
Visual summary of egocentric photostreams by representative keyframes. ICME Workshops 2015: 1-6 - [c132]Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva:
Towards social interaction detection in egocentric photo-streams. ICMV 2015: 987514 - [c131]Aniol Lidon, Marc Bolaños, Markus Seidl, Xavier Giró-i-Nieto, Petia Radeva, Matthias Zeppelzauer:
UPC-UB-STP @ MediaEval 2015 Diversity Task: Iterative Reranking of Relevant Images. MediaEval 2015 - [e4]Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev:
Eighth International Conference on Machine Vision, ICMV 2015, Barcelona, Spain, 19-20 November 2015. SPIE Proceedings 9875, SPIE 2015, ISBN 9781510601161 [contents] - [i7]Marc Bolaños, Petia Radeva:
Ego-object discovery. CoRR abs/1504.01639 (2015) - [i6]Marc Bolaños, Ricard Mestre, Estefanía Talavera, Xavier Giró-i-Nieto, Petia Radeva:
Visual Summary of Egocentric Photostreams by Representative Keyframes. CoRR abs/1505.01130 (2015) - [i5]Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva:
Multi-Face Tracking by Extended Bag-of-Tracklets in Egocentric Videos. CoRR abs/1507.04576 (2015) - [i4]Marc Bolaños, Mariella Dimiccoli, Petia Radeva:
Towards Storytelling from Visual Lifelogging: An Overview. CoRR abs/1507.06120 (2015) - [i3]Aniol Lidon, Marc Bolaños, Mariella Dimiccoli, Petia Radeva, Maite Garolera, Xavier Giró-i-Nieto:
Semantic Summarization of Egocentric Photo Stream Events. CoRR abs/1511.00438 (2015) - [i2]Mariella Dimiccoli, Marc Bolaños, Estefanía Talavera, Maedeh Aghaei, Stavri G. Nikolov, Petia Radeva:
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation. CoRR abs/1512.07143 (2015) - 2014
- [j61]Su-Lin Lee, Stefanie Demirci, Petia Radeva, Gözde B. Ünal:
Editorial note. Comput. Medical Imaging Graph. 38(2): 69 (2014) - [j60]Simone Balocco, Carlo Gatta, Francesco Ciompi, Andreas Wahle, Petia Radeva, Stéphane G. Carlier, Gözde B. Ünal, Elias Sanidas, Josepa Mauri, Xavier Carrillo, Tomas Kovarnik, Ching-Wei Wang, Hsiang-Chou Chen, Themis P. Exarchos, Dimitrios I. Fotiadis, François Destrempes, Guy Cloutier, Oriol Pujol, Marina Alberti, Eduardo Gerardo Mendizabal Ruiz, Mariano Rivera, Timur Aksoy, Richard W. Downe, Ioannis A. Kakadiaris:
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation. Comput. Medical Imaging Graph. 38(2): 70-90 (2014) - [j59]Simeon Petkov, Xavier Carrillo, Petia Radeva, Carlo Gatta:
Diaphragm border detection in coronary X-ray angiographies: New method and applications. Comput. Medical Imaging Graph. 38(4): 296-305 (2014) - [j58]Pierluigi Casale, Oriol Pujol, Petia Radeva:
Approximate polytope ensemble for one-class classification. Pattern Recognit. 47(2): 854-864 (2014) - [j57]Francesco Ciompi, Oriol Pujol, Petia Radeva:
ECOC-DRF: Discriminative random fields based on error correcting output codes. Pattern Recognit. 47(6): 2193-2204 (2014) - [j56]Santi Seguí, Michal Drozdzal, Ekaterina Zaytseva, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià:
Detection of Wrinkle Frames in Endoluminal Videos Using Betweenness Centrality Measures for Images. IEEE J. Biomed. Health Informatics 18(6): 1831-1838 (2014) - [c130]Marc Bolaños, Maite Garolera, Petia Radeva:
Video Segmentation of Life-Logging Videos. AMDO 2014: 1-9 - [c129]Oualid M. Benkarim, Petia Radeva, Laura Igual:
Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation. AMDO 2014: 138-147 - [c128]Maedeh Aghaei, Petia Radeva:
Bag-of-Tracklets for Person Tracking in Life-Logging Data. CCIA 2014: 35-44 - [c127]Michal Drozdzal, Jordi Vitrià, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Petia Radeva:
Intestinal event segmentation for endoluminal video analysis. ICIP 2014: 3592-3596 - [e3]Antanas Verikas, Branislav Vuksanovic, Petia Radeva, Jianhong Zhou:
Seventh International Conference on Machine Vision, ICMV 2014, Milan, Italy, 19-21 November 2014. SPIE Proceedings 9445, SPIE 2014, ISBN 9781628415605 [contents] - [d1]Pierluigi Casale, Oriol Pujol, Petia Radeva:
Activity Recognition from Single Chest-Mounted Accelerometer. UCI Machine Learning Repository, 2014
- [i1]Adriana Romero, Petia Radeva, Carlo Gatta:
No more meta-parameter tuning in unsupervised sparse feature learning. CoRR abs/1402.5766 (2014) - 2013
- [j55]Michal Drozdzal, Santi Seguí, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva:
Adaptable image cuts for motility inspection using WCE. Comput. Medical Imaging Graph. 37(1): 72-80 (2013) - [c126]Francesco Ciompi, Rui Hua, Simone Balocco, Marina Alberti, Oriol Pujol, Carles Caus, Josepa Mauri, Petia Radeva:
Learning to Detect Stent Struts in Intravascular Ultrasound. IbPRIA 2013: 575-583 - [c125]Francesco Ciompi, Simone Balocco, Carles Caus, Josepa Mauri, Petia Radeva:
Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images. MICCAI (2) 2013: 345-352 - [c124]Marc Bolaños, Maite Garolera, Petia Radeva:
Active labeling application applied to food-related object recognition. CEA@ACM Multimedia 2013: 45-50 - [c123]Santi Seguí, Ekaterina Zaytseva, Michal Drozdzal, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià:
A new image centrality descriptor for wrinkle frame detection in WCE videos. MVA 2013: 25-28 - [c122]Víctor Borjas, Jordi Vitrià, Petia Radeva:
Gradient Histogram Background Modeling for People Detection in Stationary Camera Environments. MVA 2013: 65-68 - [p3]Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
An Application for Efficient Error-Free Labeling of Medical Images. Multimodal Interaction in Image and Video Applications 2013: 1-16 - 2012
- [j54]Laura Igual, Joan Carles Soliva, Sergio Escalera, Roger Gimeno, Oscar Vilarroya, Petia Radeva:
Automatic brain caudate nuclei segmentation and classification in diagnostic of Attention-Deficit/Hyperactivity Disorder. Comput. Medical Imaging Graph. 36(8): 591-600 (2012) - [j53]Antonio Hernández-Vela, Nadezhda Zlateva, Alexander Marinov, Miguel Reyes, Petia Radeva, Dimo Dimov, Sergio Escalera:
Human limb segmentation in depth maps based on spatio-temporal Graph-cuts optimization. J. Ambient Intell. Smart Environ. 4(6): 535-546 (2012) - [j52]Francesco Ciompi, Oriol Pujol, Carlo Gatta, Marina Alberti, Simone Balocco, Xavier Carrillo, Josepa Mauri-Ferre, Petia Radeva:
HoliMAb: A holistic approach for Media-Adventitia border detection in intravascular ultrasound. Medical Image Anal. 16(6): 1085-1100 (2012) - [j51]Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Petia Radeva, Jordi Vitrià, Oriol Pujol:
Minimal design of error-correcting output codes. Pattern Recognit. Lett. 33(6): 693-702 (2012) - [j50]Pierluigi Casale, Oriol Pujol, Petia Radeva:
Personalization and user verification in wearable systems using biometric walking patterns. Pers. Ubiquitous Comput. 16(5): 563-580 (2012) - [j49]Sergio Escalera, Xavier Baró, Jordi Vitrià, Petia Radeva, Bogdan Raducanu:
Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction. Sensors 12(2): 1702-1719 (2012) - [j48]Marina Alberti, Simone Balocco, Carlo Gatta, Francesco Ciompi, Oriol Pujol, Joana Silva, Xavier Carrillo, Petia Radeva:
Automatic Bifurcation Detection in Coronary IVUS Sequences. IEEE Trans. Biomed. Eng. 59(4): 1022-1031 (2012) - [j47]Antonio Hernández-Vela, Carlo Gatta, Sergio Escalera, Laura Igual, Victoria Martin-Yuste, Manel Sabate, Petia Radeva:
Accurate Coronary Centerline Extraction, Caliber Estimation, and Catheter Detection in Angiographies. IEEE Trans. Inf. Technol. Biomed. 16(6): 1332-1340 (2012) - [j46]Santi Seguí, Michal Drozdzal, Fernando Vilariño, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià:
Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy. IEEE Trans. Inf. Technol. Biomed. 16(6): 1341-1352 (2012) - [c121]Víctor Borjas, Michal Drozdzal, Petia Radeva, Jordi Vitrià:
Human Relative Position Detection Based on Mutual Occlusion. CIARP 2012: 332-339 - [c120]Antonio Hernández-Vela, Nadezhda Zlateva, Alexander Marinov, Miguel Reyes, Petia Radeva, Dimo Dimov, Sergio Escalera:
Graph cuts optimization for multi-limb human segmentation in depth maps. CVPR 2012: 726-732 - [c119]Laura Igual, Joan Carles Soliva, Roger Gimeno, Sergio Escalera, Oscar Vilarroya, Petia Radeva:
Automatic Internal Segmentation of Caudate Nucleus for Diagnosis of Attention-Deficit/Hyperactivity Disorder. ICIAR (2) 2012: 222-229 - [c118]Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià:
An Integrated Approach to Contextual Face Detection. ICPRAM (2) 2012: 90-97 - [c117]Petia Radeva, Michal Drozdzal, Santi Seguí, Laura Igual, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Active labeling: Application to wireless endoscopy analysis. HPCS 2012: 174-181 - [c116]Laura Igual, Joan Carles Soliva, Antonio Hernández-Vela, Sergio Escalera, Oscar Vilarroya, Petia Radeva:
Supervised brain segmentation and classification in diagnostic of Attention-Deficit/Hyperactivity Disorder. HPCS 2012: 182-187 - [c115]Simeon Petkov, Adriana Romero, Xavier Carrillo Suarez, Petia Radeva, Carlo Gatta:
Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies. STACOM 2012: 225-234 - [c114]Marina Alberti, Simone Balocco, Xavier Carrillo, Josepa Mauri, Petia Radeva:
Automatic Non-rigid Temporal Alignment of IVUS Sequences. MICCAI (1) 2012: 642-650 - 2011
- [b1]Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva:
Traffic-Sign Recognition Systems. Springer Briefs in Computer Science, Springer 2011, ISBN 978-1-4471-2244-9, pp. i-vi, 1-96 - [j45]Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, Oriol Pujol:
Online error correcting output codes. Pattern Recognit. Lett. 32(3): 458-467 (2011) - [j44]José C. R. Seabra, Francesco Ciompi, Oriol Pujol, Josepa Mauri, Petia Radeva, João M. Sanches:
Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound. IEEE Trans. Biomed. Eng. 58(5): 1314-1324 (2011) - [j43]Sergio Escalera, Alicia Fornés, Oriol Pujol, Josep Lladós, Petia Radeva:
Circular Blurred Shape Model for Multiclass Symbol Recognition. IEEE Trans. Syst. Man Cybern. Part B 41(2): 497-506 (2011) - [c113]Marina Alberti, Carlo Gatta, Simone Balocco, Francesco Ciompi, Oriol Pujol, Joana Silva, Xavier Carrillo, Petia Radeva:
Automatic Branching Detection in IVUS Sequences. IbPRIA 2011: 126-133 - [c112]Michal Drozdzal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva:
Interactive Labeling of WCE Images. IbPRIA 2011: 143-150 - [c111]Carlo Gatta, Simone Balocco, Victoria Martin-Yuste, Ruben Leta, Petia Radeva:
Non-rigid Multi-modal Registration of Coronary Arteries Using SIFTflow. IbPRIA 2011: 159-166 - [c110]Pierluigi Casale, Oriol Pujol, Petia Radeva:
Human Activity Recognition from Accelerometer Data Using a Wearable Device. IbPRIA 2011: 289-296 - [c109]Simone Balocco, Carlo Gatta, Francesco Ciompi, Oriol Pujol, Xavier Carrillo, Josepa Mauri, Petia Radeva:
Combining Growcut and Temporal Correlation for IVUS Lumen Segmentation. IbPRIA 2011: 556-563 - [c108]Simone Balocco, Carlo Gatta, Xavier Carrillo, Josepa Mauri, Petia Radeva:
Plaque type, plaque burden, and wall shear stress relation in coronary arteries assessed by x-ray angiography and intravascular ultrasound: a qualitative study. ISABEL 2011: 75:1-75:5 - [c107]Pierluigi Casale, Oriol Pujol, Petia Radeva:
Approximate Convex Hulls Family for One-Class Classification. MCS 2011: 106-115 - [c106]Francesco Ciompi, Oriol Pujol, Carlo Gatta, Xavier Carrillo, Josepa Mauri, Petia Radeva:
A Holistic Approach for the Detection of Media-Adventitia Border in IVUS. MICCAI (3) 2011: 411-419 - [c105]Antonio Hernández-Vela, Carlo Gatta, Sergio Escalera, Laura Igual, Victoria Martin-Yuste, Petia Radeva:
Accurate and Robust Fully-Automatic QCA: Method and Numerical Validation. MICCAI (3) 2011: 496-503 - [c104]Pierluigi Casale, Oriol Pujol, Petia Radeva:
User Verification from Walking Activity - First Steps towards a Personal Verification System. PECCS 2011: 179-185 - [p2]Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva:
On the Design of Low Redundancy Error-Correcting Output Codes. Ensembles in Machine Learning Applications 2011: 21-38 - [p1]Pierluigi Casale, Oriol Pujol, Petia Radeva:
Embedding Random Projections in Regularized Gradient Boosting Machines. Ensembles in Machine Learning Applications 2011: 201-216 - 2010
- [j42]Sergio Escalera, Oriol Pujol, Petia Radeva, Jordi Vitrià, María Teresa Anguera:
Automatic Detection of Dominance and Expected Interest. EURASIP J. Adv. Signal Process. 2010 (2010) - [j41]Sergio Escalera, Oriol Pujol, Petia Radeva:
Error-Correcting Ouput Codes Library. J. Mach. Learn. Res. 11: 661-664 (2010) - [j40]Sergio Escalera, Oriol Pujol, Petia Radeva:
Traffic sign recognition system with beta -correction. Mach. Vis. Appl. 21(2): 99-111 (2010) - [j39]Sergio Escalera, Oriol Pujol, Petia Radeva:
On the Decoding Process in Ternary Error-Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 120-134 (2010) - [j38]Sergio Escalera, Oriol Pujol, Petia Radeva:
Re-coding ECOCs without re-training. Pattern Recognit. Lett. 31(7): 555-562 (2010) - [j37]David Rotger, Petia Radeva, Nico Bruining:
Automatic detection of bioabsorbable coronary stents in IVUS images using a cascade of classifiers. IEEE Trans. Inf. Technol. Biomed. 14(2): 535-537 (2010) - [j36]Fernando Vilariño, Panagiota Spyridonos, Fosca De Iorio, Jordi Vitrià, Fernando Azpiroz, Petia Radeva:
Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions. IEEE Trans. Medical Imaging 29(2): 246-259 (2010) - [c103]Aura Hernandez, Miguel Reyes, Sergio Escalera, Petia Radeva:
Spatio-Temporal GrabCut human segmentation for face and pose recovery. CVPR Workshops 2010: 33-40 - [c102]Michal Drozdzal, Laura Igual, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva:
Aligning endoluminal scene sequences in wireless capsule endoscopy. CVPR Workshops 2010: 117-124 - [c101]Sergio Escalera, Petia Radeva, Jordi Vitrià, Xavier Baró, Bogdan Raducanu:
Modelling and analyzing multimodal dyadic interactions using social networks. ICMI-MLMI 2010: 52:1-52:8 - [c100]Francesco Ciompi, Oriol Pujol, Petia Radeva:
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes. ICPR 2010: 710-713 - [c99]Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, Oriol Pujol:
Adding Classes Online in Error Correcting Output Codes Framework. ICPR 2010: 2945-2948 - [c98]José C. R. Seabra, João M. Sanches, Francesco Ciompi, Petia Radeva:
Ultrasonographic plaque characterization using a Rayleigh mixture model. ISBI 2010: 1-4 - [c97]Carlo Gatta, Simone Balocco, Francesco Ciompi, Rayyan Hemetsberger, Oriol Rodriguez-Leor, Petia Radeva:
Real-Time Gating of IVUS Sequences Based on Motion Blur Analysis: Method and Quantitative Validation. MICCAI (2) 2010: 59-67
2000 – 2009
- 2009
- [j35]Misael Rosales, Petia Radeva, Oriol Rodriguez-Leor, Debora Gil:
Modelling of image-catheter motion for 3-D IVUS. Medical Image Anal. 13(1): 91-104 (2009) - [j34]Sergio Escalera, Oriol Pujol, Petia Radeva:
Separability of ternary codes for sparse designs of error-correcting output codes. Pattern Recognit. Lett. 30(3): 285-297 (2009) - [j33]Sergio Escalera, Alicia Fornés, Oriol Pujol, Petia Radeva, Gemma Sánchez, Josep Lladós:
Blurred Shape Model for binary and grey-level symbol recognition. Pattern Recognit. Lett. 30(15): 1424-1433 (2009) - [j32]Carlo Gatta, Oriol Pujol, Oriol Rodriguez-Leor, Josepa Mauri, Petia Radeva:
Fast Rigid Registration of Vascular Structures in IVUS Sequences. IEEE Trans. Inf. Technol. Biomed. 13(6): 1006-1011 (2009) - [j31]Xavier Baró, Sergio Escalera, Jordi Vitrià, Oriol Pujol, Petia Radeva:
Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification. IEEE Trans. Intell. Transp. Syst. 10(1): 113-126 (2009) - [j30]Aura Hernández-Sabaté, Debora Gil, Eduard Fernández-Nofrerías, Petia Radeva, Enric Martí:
Approaching Artery Rigid Dynamics in IVUS. IEEE Trans. Medical Imaging 28(11): 1670-1680 (2009) - [j29]Sergio Escalera, Oriol Pujol, Josepa Mauri, Petia Radeva:
Intravascular Ultrasound Tissue Characterization with Sub-class Error-Correcting Output Codes. J. Signal Process. Syst. 55(1-3): 35-47 (2009) - [c96]Mehdi Mirza-Mohammadi, Sergio Escalera, Petia Radeva:
Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object Categorization. CAIP 2009: 748-756 - [c95]Xavier Baró, Sergio Escalera, Petia Radeva, Jordi Vitrià:
Generic Object Recognition in Urban Image Databases. CCIA 2009: 27-34 - [c94]Sergio Escalera, Xavier Baró, Jordi Vitrià, Petia Radeva:
Text Detection in Urban Scenes. CCIA 2009: 35-44 - [c93]Sergio Escalera, Oriol Pujol, Petia Radeva, Jordi Vitrià:
Measuring Interest of Human Dyadic Interactions. CCIA 2009: 45-54 - [c92]Pierluigi Casale, Oriol Pujol, Petia Radeva, Jordi Vitrià:
A First Approach to Activity Recognition using Topic Models. CCIA 2009: 74-82 - [c91]Francesco Ciompi, Oriol Pujol, Oriol Rodriguez-Leor, Angel Serrano Vida, Josepa Mauri, Petia Radeva:
On in-vitro and in-vivo IVUS data fusion. CCIA 2009: 147-156 - [c90]Sergio Escalera, R. M. Martinez, Jordi Vitrià, Petia Radeva, María Teresa Anguera:
Dominance detection in face-to-face conversations. CVPR Workshops 2009: 97-102 - [c89]Sergio Escalera, Eloi Puertas, Petia Radeva, Oriol Pujol:
Multi-modal laughter recognition in video conversations. CVPR Workshops 2009: 110-115 - [c88]Pierluigi Casale, Oriol Pujol, Petia Radeva:
Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device. IbPRIA 2009: 56-63 - [c87]Francesco Ciompi, Oriol Pujol, Oriol Rodriguez-Leor, Carlo Gatta, Angel Serrano Vida, Petia Radeva:
Enhancing In-Vitro IVUS Data for Tissue Characterization. IbPRIA 2009: 241-248 - [c86]Carlo Gatta, Juan Diego Gomez Valencia, Francesco Ciompi, Oriol Rodriguez-Leor, Petia Radeva:
Toward Robust Myocardial Blush Grade Estimation in Contrast Angiography. IbPRIA 2009: 249-256 - [c85]Maria Salamó, Sergio Escalera, Petia Radeva:
Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender. ICCBR 2009: 298-312 - [c84]Sergio Escalera, Alicia Fornés, Oriol Pujol, Petia Radeva:
Multi-class Binary Symbol Classification with Circular Blurred Shape Models. ICIAP 2009: 1005-1014 - [c83]Sergio Escalera, Alicia Fornés, Oriol Pujol, Alberto Escudero, Petia Radeva:
Circular Blurred Shape Model for symbol spotting in documents. ICIP 2009: 2005-2008 - [c82]Carlo Gatta, Petia Radeva:
Bilateral enhancers. ICIP 2009: 3161-3164 - [c81]Xavier Baró, Sergio Escalera, Petia Radeva, Jordi Vitrià:
Visual content layer for scalable object recognition in urban image databases. ICME 2009: 1616-1619 - [c80]Sergio Escalera, Oriol Pujol, Petia Radeva:
Recoding Error-Correcting Output Codes. MCS 2009: 11-21 - [c79]Francesco Ciompi, Oriol Pujol, Eduard Fernández-Nofrerías, Josepa Mauri, Petia Radeva:
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences. MICCAI (1) 2009: 869-876 - 2008
- [j28]Sergio Escalera, Oriol Pujol, Petia Radeva:
Detection of Complex Salient Regions. EURASIP J. Adv. Signal Process. 2008 (2008) - [j27]Filiberto Pla, Petia Radeva, Jordi Vitrià:
Non-parametric distance-based classification techniques and their applications. Pattern Anal. Appl. 11(3-4): 223-225 (2008) - [j26]Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi Tian:
Distance Learning for Similarity Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 451-462 (2008) - [j25]Sergio Escalera, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin:
Subclass Problem-Dependent Design for Error-Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1041-1054 (2008) - [j24]Oriol Pujol, Sergio Escalera, Petia Radeva:
An incremental node embedding technique for error correcting output codes. Pattern Recognit. 41(2): 713-725 (2008) - [j23]Debora Gil, Oriol Rodriguez-Leor, Petia Radeva, Josepa Mauri:
Myocardial Perfusion Characterization From Contrast Angiography Spectral Distribution. IEEE Trans. Medical Imaging 27(5): 641-649 (2008) - [c78]Sergio Escalera, Oriol Pujol, Josepa Mauri, Petia Radeva:
IVUS tissue characterization with sub-class error-correcting output codes. CVPR Workshops 2008: 1-8 - [c77]Sergio Escalera, Oriol Pujol, Petia Radeva:
Separability of ternary Error-Correcting Output Codes. ICPR 2008: 1-4 - [c76]Sergio Escalera, Oriol Pujol, Petia Radeva:
Error-Correcting output coding for chagasic patients characterization. ICPR 2008: 1-4 - [c75]Santi Seguí, Laura Igual, Fernando Vilariño, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy. ICVS 2008: 251-260 - [c74]Sergio Escalera, Oriol Pujol, Petia Radeva:
Sub-class Error-Correcting Output Codes. ICVS 2008: 494-504 - [c73]Carlo Gatta, Oriol Pujol, Oriol Rodriguez-Leor, Josepa Mauri, Petia Radeva:
Robust Image-Based IVUS Pullbacks Gating. MICCAI (2) 2008: 518-525 - [c72]Sergio Escalera, Oriol Pujol, Petia Radeva:
Loss-Weighted Decoding for Error-Correcting Output Coding. VISAPP (2) 2008: 117-122 - 2007
- [j22]Jaume Amores, Nicu Sebe, Petia Radeva:
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1818-1833 (2007) - [j21]Sergio Escalera, Oriol Pujol, Petia Radeva:
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scenes. Pattern Recognit. Lett. 28(13): 1759-1768 (2007) - [j20]Jordi Vitrià, Marco Bressan, Petia Radeva:
Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis. IEEE Trans. Syst. Man Cybern. Part C 37(1): 32-38 (2007) - [c71]Jaume Amores, Nicu Sebe, Petia Radeva:
Class-Specific Binary Correlograms for Object Recognition. BMVC 2007: 1-10 - [c70]Debora Gil, Oriol Rodriguez-Leor, Petia Radeva, Aura Hernandez:
Assessing Artery Motion Compensation in IVUS. CAIP 2007: 213-220 - [c69]David Rotger, Petia Radeva, Eduard Fernández-Nofrerías, Josepa Mauri:
Blood Detection in IVUS Images for 3D Volume of Lumen Changes Measurement Due to Different Drugs Administration. CAIP 2007: 285-292 - [c68]Laura Igual, Santi Seguí, Jordi Vitrià, Fernando Azpiroz, Petia Radeva:
Eigenmotion-Based Detection of Intestinal Contractions. CAIP 2007: 293-300 - [c67]David Rotger, Petia Radeva, Eduard Fernández-Nofrerías, Josepa Mauri:
Blood Detection In IVUS Longitudinal Cuts Using AdaBoost With a Novel Feature Stability Criterion. CCIA 2007: 197-204 - [c66]Sergio Escalera, Alicia Fornés, Oriol Pujol, Josep Lladós, Petia Radeva:
Multi-class Binary Object Categorization Using Blurred Shape Models. CIARP 2007: 142-151 - [c65]Santi Seguí, Laura Igual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià:
A Semi-supervised Learning Method for Motility Disease Diagnostic. CIARP 2007: 773-782 - [c64]Plamena Andreeva, Plamen Andreev, Maya Dimitrova, Petia Radeva:
A refinement model with information granulation focused on difficult to distinguish cases. CompSysTech 2007: 47 - [c63]Maya Dimitrova, Chavdar Roumenin, Siya Lozanova, Lubomir Lahchev, David Rotger, Petia Radeva:
An interface system based on multimodal principle for cardiological diagnosis assistance. CompSysTech 2007: 51 - [c62]Sergio Escalera, Petia Radeva, Oriol Pujol:
Complex Salient Regions for Computer Vision Problems. CVPR 2007 - [c61]Alicia Fornés, Sergio Escalera, Josep Lladós, Gemma Sánchez, Petia Radeva, Oriol Pujol:
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction. IbPRIA (1) 2007: 13-21 - [c60]Sergio Escalera, Oriol Pujol, Petia Radeva:
Robust Complex Salient Regions. IbPRIA (2) 2007: 113-121 - [c59]Karla L. Caballero Espinosa, Joel Barajas, Oriol Pujol, Josefina Mauri, Petia Radeva:
Reconstructing ivus images for an accurate tissue classification. VISAPP (Special Sessions) 2007: 113-119 - [c58]Sergio Escalera, Petia Radeva, Oriol Pujol:
Traffic sign classification using error correcting techniques. VISAPP (2) 2007: 281-285 - 2006
- [j19]Alejandro F. Frangi, Petia Radeva, Andrés Santos:
Editorial. Medical Image Anal. 10(4): 612-614 (2006) - [j18]Oriol Pujol, Petia Radeva, Jordi Vitrià:
Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 1007-1012 (2006) - [j17]Jaume Amores, Nicu Sebe, Petia Radeva:
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier. Pattern Recognit. Lett. 27(3): 201-209 (2006) - [j16]Fernando Vilariño, Ludmila I. Kuncheva, Petia Radeva:
ROC curves and video analysis optimization in intestinal capsule endoscopy. Pattern Recognit. Lett. 27(8): 875-881 (2006) - [j15]Debora Gil, Petia Radeva:
Inhibition of false landmarks. Pattern Recognit. Lett. 27(9): 1022-1030 (2006) - [j14]Debora Gil, Aura Hernandez, Oriol Rodriguez, Josepa Mauri, Petia Radeva:
Statistical strategy for anisotropic adventitia modelling in IVUS. IEEE Trans. Medical Imaging 25(6): 768-778 (2006) - [c57]Sergio Escalera, Oriol Pujol, Petia Radeva:
Optimal Extension of Error Correcting Output Codes. CCIA 2006: 28-36 - [c56]Karla L. Caballero Espinosa, Joel Barajas, Oriol Pujol, Neus Salvatella, Petia Radeva:
In-Vivo IVUS Tissue Classification: A Comparison Between RF Signal Analysis and Reconstructed Images. CIARP 2006: 137-146 - [c55]Fernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Carolina Malagelada, Petia Radeva:
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions. CIARP 2006: 178-187 - [c54]Fernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Carolina Malagelada, Petia Radeva:
A Machine Learning Framework Using SOMs: Applications in the Intestinal Motility Assessment. CIARP 2006: 188-197 - [c53]Sergio Escalera, Oriol Pujol, Petia Radeva:
Decoding of Ternary Error Correcting Output Codes. CIARP 2006: 753-763 - [c52]Sergio Escalera, Oriol Pujol, Petia Radeva:
Forest Extension of Error Correcting Output Codes and Boosted Landmarks. ICPR (4) 2006: 104-107 - [c51]Fernando Vilariño, Panagiota Spyridonos, Oriol Pujol, Jordi Vitrià, Petia Radeva:
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy. ICPR (4) 2006: 719-722 - [c50]Ellen J. L. Brunenberg, Oriol Pujol, Bart M. ter Haar Romeny, Petia Radeva:
Automatic IVUS Segmentation of Atherosclerotic Plaque with Stop & Go Snake. MICCAI (2) 2006: 9-16 - [c49]Panagiota Spyridonos, Fernando Vilariño, Jordi Vitrià, Fernando Azpiroz, Petia Radeva:
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions. MICCAI (2) 2006: 161-168 - 2005
- [j13]Debora Gil, Petia Radeva:
Extending anisotropic operators to recover smooth shapes. Comput. Vis. Image Underst. 99(1): 110-125 (2005) - [j12]Jaume Amores, Petia Radeva:
Retrieval of IVUS images using contextual information and elastic matching. Int. J. Intell. Syst. 20(5): 541-559 (2005) - [j11]Oriol Pujol, Debora Gil, Petia Radeva:
Fundamentals of Stop and Go active models. Image Vis. Comput. 23(8): 681-691 (2005) - [j10]Jaume Amores, Petia Radeva Ivanova:
Registration and retrieval of highly elastic bodies using contextual information. Pattern Recognit. Lett. 26(11): 1720-1731 (2005) - [c48]Panagiota Spyridonos, Fernando Vilariño, Jordi Vitrià, Petia Radeva:
Identification of Intestinal Motility Events of Capsule Endoscopy Video Analysis. ACIVS 2005: 531-537 - [c47]Aura Hernandez, Debora Gil, Petia Radeva:
On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging. CCIA 2005: 67-74 - [c46]Joel Barajas, Jaume Garcia-Barnes, Francesc Carreras, Sandra Pujadas, Petia Radeva:
Angle Images using Gabor Filters in Cardiac Tagged MRI. CCIA 2005: 107-114 - [c45]Jaume Amores, Nicu Sebe, Petia Radeva:
Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors. CVPR (2) 2005: 769-774 - [c44]Debora Gil, Aura Hernandez, Antoni Carol, Oriol Rodriguez, Petia Radeva:
A Deterministic-Statistic Adventitia Detection in IVUS Images. FIMH 2005: 65-74 - [c43]Misael Rosales, Petia Radeva, Oriol Rodriguez, Debora Gil:
Suppression of IVUS Image Rotation. A Kinematic Approach. FIMH 2005: 359-368 - [c42]Oriol Pujol, Petia Radeva:
Solving Particularization with Supervised Clustering Competition Scheme. IbPRIA (2) 2005: 11-18 - [c41]Jaume Amores, Nicu Sebe, Petia Radeva:
Efficient Object-Class Recognition by Boosting Contextual Information. IbPRIA (1) 2005: 28-35 - [c40]Fernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Petia Radeva:
Experiments with SVM and Stratified Sampling with an Imbalanced Problem: Detection of Intestinal Contractions. ICAPR (2) 2005: 783-791 - [e2]Beatriz López, Joaquím Meléndez, Petia Radeva, Jordi Vitrià:
Artificial Intelligence Research and Development, Proceedings of the 8th International Conference of the ACIA, CCIA 2005, October 26-28, 2005, Alguer, Italy. Frontiers in Artificial Intelligence and Applications 131, IOS Press 2005, ISBN 978-1-58603-560-0 [contents] - [e1]Alejandro F. Frangi, Petia Radeva, Andrés Santos, Monica Hernandez:
Functional Imaging and Modeling of the Heart, Third International Workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005, Proceedings. Lecture Notes in Computer Science 3504, Springer 2005, ISBN 3-540-26161-3 [contents] - 2004
- [j9]Oriol Pujol, Petia Radeva:
Texture Segmentation by Statistical Deformable Models. Int. J. Image Graph. 4(3): 433-452 (2004) - [j8]Debora Gil, Petia Radeva:
Shape Restoration via a Regularized Curvature Flow. J. Math. Imaging Vis. 21(3): 205-223 (2004) - [j7]Debora Gil, Petia Radeva Ivanova:
A regularized curvature flow designed for a selective shape restoration. IEEE Trans. Image Process. 13(11): 1444-1458 (2004) - [c39]Maya Dimitrova, Emilia I. Barakova, Tino Lourens, Petia Radeva:
The Web as an Autobiographical Agent. AIMSA 2004: 510-519 - [c38]Petia Radeva, Jordi Vitrià:
Discriminant Projections Embedding for Nearest Neighbor Classification. CIARP 2004: 312-319 - [c37]Oriol Pujol, Petia Radeva, Jordi Vitrià, Josepa Mauri:
Adaboost to Classify Plaque Appearance in IVUS Images. CIARP 2004: 629-636 - [c36]Georg Langs, Petia Radeva, David Rotger, Francesc Carreras:
Building and Registering Parameterized 3D Models of Vessel Trees for Visualization during Intervention. ICPR (3) 2004: 726-729 - [c35]Misael Dario Rosales Ramírez, Petia Radeva Ivanova, Josepa Mauri, Oriol Pujol:
Simulation Model of Intravascular Ultrasound Images. MICCAI (2) 2004: 200-207 - [c34]Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers, Arnold W. M. Smeulders:
Boosting contextual information in content-based image retrieval. Multimedia Information Retrieval 2004: 31-38 - 2003
- [j6]Xose Manuel Pardo, Petia Radeva, Diego Cabello:
Discriminant snakes for 3D reconstruction of anatomical organs. Medical Image Anal. 7(3): 293-310 (2003) - [j5]Cristina Cañero Morales, Petia Radeva:
Vesselness enhancement diffusion. Pattern Recognit. Lett. 24(16): 3141-3151 (2003) - [c33]Debora Gil, Petia Radeva:
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling. EMMCVPR 2003: 357-372 - [c32]Oriol Pujol, Misael Rosales, Petia Radeva, Eduard Fernández-Nofrerías:
Intravascular Ultrasound Images Vessel Characterization Using AdaBoost. FIMH 2003: 242-251 - [c31]Jaume Amores, Petia Radeva:
Non-rigid Registration of Vessel Structures in IVUS Images. IbPRIA 2003: 45-52 - [c30]Debora Gil, Petia Radeva, Fernando Vilariño:
Anisotropic contour completion. ICIP (1) 2003: 869-872 - 2002
- [j4]Cristina Cañero Morales, Fernando Vilariño, Josefina Mauri, Petia Radeva:
Predicitive (un)distortion Model and 3D Reconstruction by Biplane Snakes. IEEE Trans. Medical Imaging 21(9): 1188-1201 (2002) - [c29]Cristina Cañero Morales, Eduardo Nofrerías, Josefina Mauri, Petia Radeva:
Modelling the Acquisition Geometry of a C-Arm Angiography System for 3D Reconstruction. CCIA 2002: 322-335 - [c28]Petia Radeva, Marco Bressan, A. Tovar, Jordi Vitrià:
Bayesian Classification for Inspection of Industrial Products. CCIA 2002: 399-407 - [c27]David Rotger, Petia Radeva, Josefina Mauri, Eduard Fernández-Nofrerías:
Internal and External Coronary Vessel Images Registration. CCIA 2002: 408-418 - 2001
- [j3]Amir A. Amini, Yasheng Chen, Mohamed Elayyadi, Petia Radeva:
Tag Surface Reconstruction and Tracking of Myocardial Beads from SPAMM-MRI with Parametric B-Spline Surfaces. IEEE Trans. Medical Imaging 20(2): 94-103 (2001) - [c26]Jordi Vitrià, Petia Radeva:
Region-based approach for discriminant snakes. ICIP (2) 2001: 801-804 - [c25]David Rotger, Cristina Cañero Morales, Petia Radeva, Josefina Mauri, E. Fernandez, A. Tovar, V. Valle:
Advanced Visualization of 3D Data of Intravascular Ultrasound Images. ISMDA 2001: 245-250 - [c24]Petia Radeva, Cristina Cañero Morales, Juan José Villanueva, Josepa Mauri, Eduardo Nofrerías:
3D Reconstruction of a Stent by Deformable Models. VIIP 2001: 417-422 - 2000
- [j2]Juan María Sánchez, Xavier Binefa, Jordi Vitrià, Petia Radeva:
Linking Visual Cues and Semantic Terms Under Specific Digital Video Domains. J. Vis. Lang. Comput. 11(3): 253-271 (2000) - [c23]Ricardo Toledo, Xavier Orriols, Xavier Binefa, Petia Radeva, Jordi Vitrià, Juan José Villanueva:
Tracking of Elongated Structures Using Statistical Snakes. CVPR 2000: 1157-1162 - [c22]Margaríta Torre, Petia Radeva:
Agricultural-Field Extraction on Aerial Images by Region Competition Algorithm. ICPR 2000: 1313-1316 - [c21]Ventzeslav Valev, Bülent Sankur, Petia Radeva:
Generalized Non-Reducible Descriptors. ICPR 2000: 2394-2397 - [c20]Xose Manuel Pardo, Petia Radeva:
Discriminant Snakes for 3D Reconstruction in Medical Images. ICPR 2000: 4336-4339 - [c19]Ricardo Toledo, Xavier Orriols, Petia Radeva, Xavier Binefa, Jordi Vitrià, Cristina Cañero Morales, Juan José Villanueva:
Eigensnakes for Vessel Segmentation in Angiography. ICPR 2000: 4340-4343 - [c18]Debora Gil, Petia Radeva, Jordi Saludes:
Segmentation of artery wall in coronary IVUS images: A Probabilistic Approach. ICPR 2000: 4352-4355 - [c17]Cristina Cañero Morales, Petia Radeva, Ricardo Toledo, Juan José Villanueva, Josefina Mauri:
3D Curve Reconstruction by Biplane Snakes. ICPR 2000: 4563-4566 - [c16]Xavier Orriols, Ricardo Toledo, Xavier Binefa, Petia Radeva, Jordi Vitrià, Juan José Villanueva:
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models. ICPR 2000: 7018-7021 - [c15]Fernando De la Torre, Javier Melenchón, Jordi Vitrià, Petia Radeva:
Eigenfiltering for Flexible Eigentracking (EFE). ICPR 2000: 7118-7121
1990 – 1999
- 1999
- [c14]Jordi Vitrià, Petia Radeva, Xavier Binefa:
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition. CAIP 1999: 17-24 - [c13]Xose Manuel Pardo, Petia Radeva, Juan José Villanueva:
Self-Training Statistic Snake for Image Segmentation and Tracking. ICIAP 1999: 406-411 - [c12]Juan María Sánchez, Xavier Binefa, Jordi Vitrià, Petia Radeva:
Local Color Analysis for Scene Break Detection Applied to TV Commercials Recognition. VISUAL 1999: 237-244 - 1998
- [c11]Amir A. Amini, Jiantao Huang, Andreas K. Klein, Petia Radeva, Mohamed Elayyadi:
Flexible Shapes for Segmentation and Tracking of Cardiovascular Data. ICIP (2) 1998: 5-9 - [c10]Amir A. Amini, Petia Radeva, Mohamed Elayyadi, Debiao Li:
Measurement of 3D Motion of Myocardial Material Points from Explicit B-Surface Reconstruction of Tagged MRI Data. MICCAI 1998: 110-118 - [c9]M. Carmen Molina, Guido P. M. Prause, Petia Radeva, Milan Sonka:
3D catheter path reconstruction from biplane angiograms. Medical Imaging: Image Processing 1998 - [c8]Petia Radeva, Jordi Guerrero, M. Carmen Molina, Roger Serneels:
Physics-based model of the Kohonen ring. Medical Imaging: Image Processing 1998 - 1997
- [j1]Petia Radeva, Amir A. Amini, Jiantao Huang:
Deformable B-Solids and Implicit Snakes for 3D Localization and Tracking of SPAMM MRI Data. Comput. Vis. Image Underst. 66(2): 163-178 (1997) - 1996
- [c7]Ventzeslav Valev, Petia Radeva:
Construction of Boolean decision rules for ECG recognition by non-reducible descriptors. ICPR 1996: 111-115 - 1995
- [c6]Ole Vilhelm Larsen, Petia Radeva, Enric Martí:
Guidelines for Choosing Optimal OParameters of Elasticity for Snakes. CAIP 1995: 106-113 - [c5]Petia Radeva, Enric Martí:
An Improved Model of Snakes for Model-Based Segmentation. CAIP 1995: 515-520 - [c4]Petia Radeva, Joan Serrat, Enric Martí:
A Snake for Model-Based Segmentation. ICCV 1995: 816-821 - [c3]Ole Vilhelm Larsen, Petia Radeva, Enric Martí:
Bounds on the Optimal Elasticity Parameters for a Snake. ICIAP 1995: 37-42 - 1993
- [c2]Petia Radeva:
A Rule-Based Approach to Hand X-Ray Image Segmentation. CAIP 1993: 641-648 - 1992
- [c1]Ventzeslav Valev, Petia Radeva:
A method of solving pattern or image recognition problems by learning Boolean formulas. ICPR (2) 1992: 359-362
Coauthor Index
Alejandro Cartas Ayala
aka: Alejandro Cartas
aka: Alejandro Cartas
Xavier Carrillo
aka: Xavier Carrillo Suarez
aka: Xavier Carrillo Suarez
[j54] [j53] [j51] [j49] [j47] [c120] [c119] [c116] [b1] [j45] [j43] [c105] [p2] [j42] [j41] [j40] [j39] [j38] [c103] [c101] [c99] [j34] [j33] [j31] [j29] [c96] [c95] [c94] [c93] [c90] [c89] [c85] [c84] [c83] [c81] [c80] [j28] [j25] [j24] [c78] [c77] [c76] [c74] [c72] [j21] [c66] [c62] [c61] [c60] [c58] [c57] [c53] [c52]
Josepa Mauri
aka: Josepa Mauri-Ferre
aka: Josepa Mauri-Ferre
[j60] [j58] [j57] [d1] [c126] [j52] [j51] [j50] [j48] [b1] [j45] [j44] [j43] [c113] [c110] [c109] [c107] [c106] [c104] [p2] [p1] [j42] [j41] [j40] [j39] [j38] [c100] [c99] [j34] [j33] [j32] [j31] [j29] [c93] [c92] [c91] [c89] [c88] [c87] [c84] [c83] [c80] [c79] [j28] [j25] [j24] [c78] [c77] [c76] [c74] [c73] [c72] [j21] [c66] [c62] [c61] [c60] [c59] [c58] [j18] [c57] [c56] [c53] [c52] [c51] [c50] [j11] [c42] [j9] [c37] [c35] [c32]
Oriol Rodriguez-Leor
aka: Oriol Rodriguez
aka: Oriol Rodriguez
[j68] [c142] [i10] [j64] [j56] [c127] [j55] [c123] [c122] [p3] [j51] [j49] [j46] [c121] [c118] [c117] [b1] [c112] [p2] [j42] [j36] [c102] [c101] [j31] [c95] [c94] [c93] [c92] [c90] [c81] [j27] [c75] [j20] [c68] [c65] [j18] [c55] [c54] [c51] [c49] [c48] [c40] [e2] [c38] [c37] [c28] [c26] [j2] [c23] [c19] [c16] [c15] [c14] [c12]
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