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ORCIDNicolas Pugeault
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2020 – today
- 2024
[c42]Özgü Göksu, Nicolas Pugeault:
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation. IJCNN 2024: 1-8- [i18]Ozgu Goksu, Nicolas Pugeault:
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation. CoRR abs/2403.19579 (2024) - [i17]Tong Shi, Xuri Ge, Joemon M. Jose, Nicolas Pugeault, Paul Henderson:
Detail-Enhanced Intra- and Inter-modal Interaction for Audio-Visual Emotion Recognition. CoRR abs/2405.16701 (2024) - 2023
- [j21]Antanas Kascenas, Pedro Sanchez
, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil:
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90: 102963 (2023) - [i16]Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil:
The role of noise in denoising models for anomaly detection in medical images. CoRR abs/2301.08330 (2023) - 2022
- [j20]Faisal Alamri, Nicolas Pugeault:
Improving Object Detection Performance Using Scene Contextual Constraints. IEEE Trans. Cogn. Dev. Syst. 14(4): 1320-1330 (2022) - [c41]Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil:
Anomaly Detection via Context and Local Feature Matching. ISBI 2022: 1-5 - [c40]Antanas Kascenas, Nicolas Pugeault, Alison Q. O'Neil:
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI. MIDL 2022: 653-664 - [i15]Charlie Kirkwood, Theo Economou, Henry Odbert, Nicolas Pugeault:
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data. CoRR abs/2201.10544 (2022) - 2020
- [j19]Thomas Kerr, James R. Clark, Elaine Fileman, Claire Widdicombe, Nicolas Pugeault:
Collaborative Deep Learning Models to Handle Class Imbalance in FlowCam Plankton Imagery. IEEE Access 8: 170013-170032 (2020) - [j18]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
SeDAR: Reading Floorplans Like a Human - Using Deep Learning to Enable Human-Inspired Localisation. Int. J. Comput. Vis. 128(5): 1286-1310 (2020) - [c39]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning Through Image Transformer. ACCV (4) 2020: 153-169 - [c38]Mohammad Rami Koujan, Luma Alharbawee, Giorgos A. Giannakakis, Nicolas Pugeault, Anastasios Roussos:
Real-time Facial Expression Recognition "In The Wild" by Disentangling 3D Expression from Identity. FG 2020: 24-31 - [c37]Faisal Alamri, Sinan Kalkan, Nicolas Pugeault:
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. ICPR 2020: 9577-9584 - [i14]Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning through Image Transformer. CoRR abs/2004.14231 (2020) - [i13]Mohammad Rami Koujan, Luma Alharbawee, Giorgos A. Giannakakis, Nicolas Pugeault, Anastasios Roussos:
Real-time Facial Expression Recognition "In The Wild" by Disentangling 3D Expression from Identity. CoRR abs/2005.05509 (2020) - [i12]Charlie Kirkwood, Theo Economou, Henry Odbert, Nicolas Pugeault:
A framework for probabilistic weather forecast post-processing across models and lead times using machine learning. CoRR abs/2005.06613 (2020) - [i11]Charlie Kirkwood, Theo Economou, Nicolas Pugeault:
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics? CoRR abs/2008.07320 (2020) - [i10]Faisal Alamri, Sinan Kalkan, Nicolas Pugeault:
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. CoRR abs/2011.06978 (2020)
2010 – 2019
- 2019
- [c36]Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. CVPR 2019: 10206-10215 - [c35]Sen He, Hamed Rezazadegan Tavakoli, Ali Borji, Nicolas Pugeault:
Human Attention in Image Captioning: Dataset and Analysis. ICCV 2019: 8528-8537 - [c34]Luka Smyth, Dmitry Kangin, Nicolas Pugeault:
Training-ValueNet: Data Driven Label Noise Cleaning on Weakly-Supervised Web Images. ICDL-EPIROB 2019: 307-312 - [c33]Faisal Alamri, Nicolas Pugeault:
Contextual Relabelling of Detected Objects. ICDL-EPIROB 2019: 313-319 - [i9]Dmitry Kangin, Nicolas Pugeault:
On-Policy Trust Region Policy Optimisation with Replay Buffers. CoRR abs/1901.06212 (2019) - [i8]Sen He, Hamed R. Tavakoli, Ali Borji, Nicolas Pugeault:
A Synchronized Multi-Modal Attention-Caption Dataset and Analysis. CoRR abs/1903.02499 (2019) - [i7]Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. CoRR abs/1903.02501 (2019) - [i6]Faisal Alamri, Nicolas Pugeault:
Contextual Relabelling of Detected Objects. CoRR abs/1906.02534 (2019) - 2018
- [c32]Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault:
Aggregated Sparse Attention for Steering Angle Prediction. ICPR 2018: 2398-2403 - [c31]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
SeDAR - Semantic Detection and Ranging: Humans can Localise without LiDAR, can Robots? ICRA 2018: 1-8 - [c30]Dmitry Kangin, Nicolas Pugeault:
Continuous Control With a Combination of Supervised and Reinforcement Learning. IJCNN 2018: 1-8 - [i5]Sen He, Nicolas Pugeault:
Deep saliency: What is learnt by a deep network about saliency? CoRR abs/1801.04261 (2018) - [i4]Sen He, Ali Borji, Yang Mi, Nicolas Pugeault:
What Catches the Eye? Visualizing and Understanding Deep Saliency Models. CoRR abs/1803.05753 (2018) - [i3]Sen He, Nicolas Pugeault:
Salient Region Segmentation. CoRR abs/1803.05759 (2018) - [i2]Sen He, Dmitry Kangin, Yang Mi, Nicolas Pugeault:
Aggregated Sparse Attention for Steering Angle Prediction. CoRR abs/1803.05785 (2018) - 2017
- [j17]Wail Mustafa, Nicolas Pugeault, Anders Glent Buch, Norbert Krüger:
Multi-view object instance recognition in an industrial context. Robotica 35(2): 271-292 (2017) - [c29]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras. ICCV 2017: 4687-4695 - [p1]Helen Cooper, Eng-Jon Ong, Nicolas Pugeault, Richard Bowden:
Sign Language Recognition Using Sub-units. Gesture Recognition 2017: 89-118 - [i1]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
SeDAR - Semantic Detection and Ranging: Humans can localise without LiDAR, can robots? CoRR abs/1709.01500 (2017) - 2016
- [j16]Hande Çelikkanat, Güner Orhan, Nicolas Pugeault, Frank Guerin, Erol Sahin, Sinan Kalkan:
Learning Context on a Humanoid Robot using Incremental Latent Dirichlet Allocation. IEEE Trans. Cogn. Dev. Syst. 8(1): 42-59 (2016) - [c28]Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors. BMVC 2016 - 2015
- [j15]Reinis Rudzits, Nicolas Pugeault:
Efficient Learning of Pre-attentive Steering in a Driving School Framework. Künstliche Intell. 29(1): 51-57 (2015) - [j14]Dirk Kraft, Wail Mustafa, Mila Popovic, Jeppe Barsøe Jessen, Anders Glent Buch, Thiusius Rajeeth Savarimuthu, Nicolas Pugeault, Norbert Krüger:
Using surfaces and surface relations in an Early Cognitive Vision system. Mach. Vis. Appl. 26(7-8): 933-954 (2015) - [j13]Nicolas Pugeault, Richard Bowden:
How Much of Driving Is Preattentive? IEEE Trans. Veh. Technol. 64(12): 5424-5438 (2015) - 2014
- [c27]Eng-Jon Ong, Nicolas Pugeault, Richard Bowden:
Sign Spotting Using Hierarchical Sequential Patterns with Temporal Intervals. CVPR 2014: 1931-1938 - [c26]Hande Çelikkanat, Güner Orhan, Nicolas Pugeault, Frank Guerin, Erol Sahin, Sinan Kalkan:
Learning and using context on a humanoid robot using latent dirichlet allocation. ICDL-EPIROB 2014: 201-207 - 2013
- [c25]Tim Sheerman-Chase, Eng-Jon Ong, Nicolas Pugeault, Richard Bowden:
Improving recognition and identification of facial areas involved in Non-Verbal Communication by feature selection. FG 2013: 1-8 - [c24]Wail Mustafa, Nicolas Pugeault, Norbert Krüger:
Multi-view object recognition using view-point invariant shape relations and appearance information. ICRA 2013: 4230-4237 - 2012
- [j12]Helen Cooper, Eng-Jon Ong, Nicolas Pugeault, Richard Bowden:
Sign language recognition using sub-units. J. Mach. Learn. Res. 13: 2205-2231 (2012) - [c23]Eng-Jon Ong, Helen Cooper, Nicolas Pugeault, Richard Bowden:
Sign Language Recognition using Sequential Pattern Trees. CVPR 2012: 2200-2207 - 2011
- [j11]Nicolas Pugeault, Norbert Krüger:
Temporal accumulation of oriented visual features. J. Vis. Commun. Image Represent. 22(2): 153-163 (2011) - [j10]Reinhard Klette, Norbert Krüger, Tobi Vaudrey, Karl Pauwels, Marc M. Van Hulle, Sandino Morales, Farid I. Kandil, Ralf Haeusler, Nicolas Pugeault, Clemens Rabe, Markus Lappe:
Performance of Correspondence Algorithms in Vision-Based Driver Assistance Using an Online Image Sequence Database. IEEE Trans. Veh. Technol. 60(5): 2012-2026 (2011) - [c22]Helen Cooper, Nicolas Pugeault, Richard Bowden:
Reading the signs: A video based sign dictionary. ICCV Workshops 2011: 914-919 - [c21]Nicolas Pugeault, Richard Bowden:
Driving me around the bend: Learning to drive from visual gist. ICCV Workshops 2011: 1022-1029 - [c20]Nicolas Pugeault, Richard Bowden:
Spelling it out: Real-time ASL fingerspelling recognition. ICCV Workshops 2011: 1114-1119 - [c19]Jeppe Barsøe Jessen, Florian Pilz, Dirk Kraft, Nicolas Pugeault, Norbert Krüger:
Accumulation of Different Visual Feature Descriptors in a Coherent Framework. SCIA 2011: 79-90 - 2010
- [j9]Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger:
A compact harmonic code for early vision based on anisotropic frequency channels. Comput. Vis. Image Underst. 114(6): 681-699 (2010) - [j8]Nicolas Pugeault, Florentin Wörgötter, Norbert Krüger:
Visual Primitives: Local, Condensed, Semantically Rich Visual Descriptors and their Applications in Robotics. Int. J. Humanoid Robotics 7(3): 379-405 (2010) - [j7]Emre Baseski, Nicolas Pugeault, Sinan Kalkan, Leon Bodenhagen, Justus H. Piater, Norbert Krüger:
Using multi-modal 3D contours and their relations for vision and robotics. J. Vis. Commun. Image Represent. 21(8): 850-864 (2010) - [j6]Mila Popovic, Dirk Kraft, Leon Bodenhagen, Emre Baseski, Nicolas Pugeault, Danica Kragic, Tamim Asfour, Norbert Krüger:
A strategy for grasping unknown objects based on co-planarity and colour information. Robotics Auton. Syst. 58(5): 551-565 (2010) - [j5]Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre Baseski, Frank Guerin, Justus H. Piater, Norbert Krüger:
Development of Object and Grasping Knowledge by Robot Exploration. IEEE Trans. Auton. Ment. Dev. 2(4): 368-383 (2010) - [c18]Nicolas Pugeault, Richard Bowden:
Learning Pre-attentive Driving Behaviour from Holistic Visual Features. ECCV (6) 2010: 154-167 - [c17]Nicolas Pugeault, Karl Pauwels, Marc M. Van Hulle, Florian Pilz, Norbert Krüger:
A Three-level Architecture for Model-free Detection and Tracking of Independently Moving Objects. VISAPP (1) 2010: 237-244
2000 – 2009
- 2009
- [j4]Dirk Kraft, Nicolas Pugeault, Emre Baseski, Mila Popovic, Danica Kragic, Sinan Kalkan, Florentin Wörgötter, Norbert Krüger:
Erratum: "Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes". Int. J. Humanoid Robotics 6(3): 561 (2009) - [j3]Renaud Detry, Nicolas Pugeault, Justus H. Piater:
A Probabilistic Framework for 3D Visual Object Representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1790-1803 (2009) - [c16]Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre Baseski, Justus H. Piater, Norbert Krüger:
Learning Objects and Grasp Affordances through Autonomous Exploration. ICVS 2009: 235-244 - [c15]Emre Baseski, Leon Bodenhagen, Nicolas Pugeault, Sinan Kalkan, Justus H. Piater, Norbert Krüger:
Using 3D contours and their relations for cognitive vision and robotics. ISCIS 2009: 409-414 - [c14]Kasper Broegaard Simonsen, Mads Thorsted Nielsen, Florian Pilz, Norbert Krüger, Nicolas Pugeault:
Spatial-Temporal Junction Extraction and Semantic Interpretation. ISVC (1) 2009: 275-286 - [c13]Emre Baseski, Lars Baunegaard With Jensen, Nicolas Pugeault, Florian Pilz, Karl Pauwels, Marc M. Van Hulle, Florentin Wörgötter, Norbert Krüger:
Road Interpretation for Driver Assistance based on an Early Cognitive Vision System. VISAPP (1) 2009: 496-505 - [c12]Bart Boesman, Lars Baunegaard With Jensen, Emre Baseski, Nicolas Pugeault, Norbert Krüger:
Bayesian Reasoning Using 3D Relations for Lane Marker Detection. VMV 2009: 127-134 - 2008
- [b1]Nicolas Pugeault:
Early cognitive vision: feedback mechanisms for the disambiguation of early visual representation. University of Göttingen, 2008 - [j2]Dirk Kraft, Nicolas Pugeault, Emre Baseski, Mila Popovic, Danica Kragic, Sinan Kalkan, Florentin Wörgötter, Norbert Krüger:
Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes. Int. J. Humanoid Robotics 5(2): 247-265 (2008) - [c11]Nicolas Pugeault, Florentin Wörgötter, Norbert Krüger:
Accumulated Visual Representation for Cognitive Vision. BMVC 2008: 1-10 - [c10]Florian Pilz, Nicolas Pugeault, Norbert Krüger:
Comparison of Point and Line Features and Their Combination for Rigid Body Motion Estimation. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 280-304 - [c9]Renaud Detry, Nicolas Pugeault, Justus H. Piater:
Probabilistic Pose Recovery Using Learned Hierarchical Object Models. ICVW 2008: 107-120 - [c8]Lars Baunegaard With Jensen, Emre Baseski, Sinan Kalkan, Nicolas Pugeault, Florentin Wörgötter, Norbert Krüger:
Semantic Reasoning for Scene Interpretation. ICVW 2008: 121-134 - [c7]Nicolas Pugeault, Sinan Kalkan, Florentin Wörgötter, Emre Baseski, Norbert Krüger:
Relations Between Reconstructed 3D Entities. VISAPP (2) 2008: 186-193 - 2007
- [c6]Emre Baseski, Nicolas Pugeault, Sinan Kalkan, Dirk Kraft, Florentin Wörgötter, Norbert Krüger:
A Scene Representation Based on Multi-Modal 2D and 3D Features. ICCV 2007: 1-7 - [c5]Florian Pilz, Yan Shi, Daniel Grest, Nicolas Pugeault, Sinan Kalkan, Norbert Krüger:
Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation. ISVC (1) 2007: 692-701 - [c4]Nicolas Pugeault, Emre Baseski, Dirk Kraft, Florentin Wörgötter, Norbert Krüger:
Extraction of multi-modal object representations in a robot vision system. VISAPP (Workshop on on Robot Vision) 2007: 126-135 - [c3]Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger:
Compact (and accurate) early vision processing in the harmonic space. VISAPP (1) 2007: 213-220 - 2006
- [c2]Nicolas Pugeault, Florentin Wörgötter, Norbert Krüger:
Multi-modal Scene Reconstruction using Perceptual Grouping Constraints. CVPR Workshops 2006: 195 - 2004
- [j1]Florentin Wörgötter, Norbert Krüger, Nicolas Pugeault, Dirk Calow, Markus Lappe, Karl Pauwels, Marc M. Van Hulle, Sovira Tan, Alan Johnston:
Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. Nat. Comput. 3(3): 293-321 (2004) - 2003
- [c1]Nicolas Pugeault, Norbert Krüger:
Multi-Modal Matching Applied to Stereo. BMVC 2003: 1-10
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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