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ORCIDMarcin Grzegorzek
Person information
- affiliation: University of Lübeck, Germany
- affiliation (former): University of Siegen, Germany
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2020 – today
- 2025
[j89]Muhammad Hassan Khan
, Hadia Shafiq, Muhammad Shahid Farid, Marcin Grzegorzek:
Encoding human activities using multimodal wearable sensory data. Expert Syst. Appl. 261: 125564 (2025)- 2024
- [j88]Haoyuan Chen, Xiaoqi Li, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review. Artif. Intell. Rev. 57(3): 71 (2024) - [j87]Dechao Tang, Chen Li, Tianming Du, Huiyan Jiang, Deguo Ma, Zhiyu Ma, Marcin Grzegorzek, Tao Jiang, Hongzan Sun:
ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. Comput. Biol. Medicine 171: 108217 (2024) - [j86]Deguo Ma, Chen Li, Tianming Du, Lin Qiao, Dechao Tang, Zhiyu Ma, Liyu Shi, Guotao Lu, Qingtao Meng, Zhihao Chen, Marcin Grzegorzek, Hongzan Sun:
PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage. Comput. Biol. Medicine 173: 108342 (2024) - [j85]Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun:
AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation. Comput. Biol. Medicine 177: 108628 (2024) - [j84]Cong Yang, Bipin Indurkhya, John See, Bo Gao, Yan Ke, Zeyd Boukhers, Zhenyu Yang, Marcin Grzegorzek:
Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks. Int. J. Comput. Vis. 132(4): 1219-1241 (2024) - [j83]Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Yudong Yao, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek:
A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification. Neural Comput. Appl. 36(7): 3317-3346 (2024) - [j82]Rimsha Fatima, Muhammad Hassan Khan, Muhammad Adeel Nisar, Rafal Doniec, Muhammad Shahid Farid, Marcin Grzegorzek:
A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data. Sensors 24(1): 75 (2024) - [j81]Anna Filipowska, Wojciech Filipowski, Pawel Raif, Marcin Pieniazek, Julia Bodak, Piotr Ferst, Kamil Pilarski, Szymon Siecinski, Rafal Doniec, Julia Mieszczanin, Emilia Skwarek, Katarzyna Bryzik, Maciej Henkel, Marcin Grzegorzek:
Machine Learning-Based Gesture Recognition Glove: Design and Implementation. Sensors 24(18): 6157 (2024) - [c113]Toni Fetzer, Markus Bullmann, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek:
Advancing Smartphone-based Indoor Positioning through Particle Distribution Optimization. FUSION 2024: 1-8 - 2023
- [j80]Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama:
Embedding-Based Music Emotion Recognition Using Composite Loss. IEEE Access 11: 36579-36604 (2023) - [j79]Jinghua Zhang, Chen Li, Yimin Yin, Jiawei Zhang, Marcin Grzegorzek:
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer. Artif. Intell. Rev. 56(2): 1013-1070 (2023) - [j78]Pingli Ma, Chen Li, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek:
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches. Artif. Intell. Rev. 56(2): 1627-1698 (2023) - [j77]Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. Biomed. Signal Process. Control. 79(Part): 104168 (2023) - [j76]Weiming Hu, Xintong Li, Chen Li, Rui Li, Tao Jiang, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Xiaoyan Li:
A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers. Comput. Biol. Medicine 161: 107034 (2023) - [j75]Zizhen Fan, Xiangchen Wu, Changzhong Li, Haoyuan Chen, Wanli Liu, Yuchao Zheng, Jing Chen, Xiaoyan Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li:
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. Comput. Biol. Medicine 162: 107070 (2023) - [j74]Yujie Jing, Chen Li, Tianming Du, Tao Jiang, Hongzan Sun, Jinzhu Yang, Liyu Shi, Minghe Gao, Marcin Grzegorzek, Xiaoyan Li:
A comprehensive survey of intestine histopathological image analysis using machine vision approaches. Comput. Biol. Medicine 165: 107388 (2023) - [j73]Muhammad Tausif Irshad, Frédéric Li, Muhammad Adeel Nisar, Xinyu Huang, Martje Buss, Leonie Kloep, Corinna Peifer, Barbara Kozusznik, Anita Pollak, Adrian Pyszka, Olaf Flak, Marcin Grzegorzek:
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data. Comput. Biol. Medicine 166: 107489 (2023) - [j72]Xinyu Huang, Franziska Schmelter, Muhammad Tausif Irshad, Artur Piet, Muhammad Adeel Nisar, Christian Sina, Marcin Grzegorzek:
Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning. Comput. Biol. Medicine 166: 107501 (2023) - [j71]Qianqing Nie, Chen Li, Jinzhu Yang, Yudong Yao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Ao Chen, Haoyuan Chen, Weiming Hu, Rui Li, Jiawei Zhang, Danning Wang:
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. Comput. Biol. Medicine 167: 107620 (2023) - [j70]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
A comprehensive study on codebook-based feature fusion for gait recognition. Inf. Fusion 92: 216-230 (2023) - [j69]Toni Fetzer, Frank Ebner, Frank Deinzer, Marcin Grzegorzek:
Using Barometer for Floor Assignation within Statistical Indoor Localization. Sensors 23(1): 80 (2023) - [j68]Philip Gouverneur, Frédéric Li, Kimiaki Shirahama, Luisa Luebke, Waclaw M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek:
Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. Sensors 23(4): 1959 (2023) - [j67]Xinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, Muhammad Adeel Nisar, Artur Piet, Marcin Grzegorzek:
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation. Sensors 23(7): 3446 (2023) - [j66]Rafal Doniec, Justyna Konior, Szymon Siecinski, Artur Piet, Muhammad Tausif Irshad, Natalia Piaseczna, Md. Abid Hasan, Frédéric Li, Muhammad Adeel Nisar, Marcin Grzegorzek:
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks. Sensors 23(12): 5551 (2023) - [j65]Luisa Luebke, Philip Gouverneur, Tibor M. Szikszay, Waclaw M. Adamczyk, Kerstin Luedtke, Marcin Grzegorzek:
Objective Measurement of Subjective Pain Perception with Autonomic Body Reactions in Healthy Subjects and Chronic Back Pain Patients: An Experimental Heat Pain Study. Sensors 23(19): 8231 (2023) - [j64]Muhammad Adeel Nisar, Kimiaki Shirahama, Muhammad Tausif Irshad, Xinyu Huang, Marcin Grzegorzek:
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors. Sensors 23(19): 8234 (2023) - [j63]Cong Yang, Zhenyu Yang, Yan Ke, Tao Chen, Marcin Grzegorzek, John See:
Doing More With Moiré Pattern Detection in Digital Photos. IEEE Trans. Image Process. 32: 694-708 (2023) - [c112]Shuyao You, Mingshi Li, Wanli Liu, Hongzan Sun, Yuexi Wang, Marcin Grzegorzek, Chen Li:
PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection. ADMA (5) 2023: 510-519 - [c111]Mingshi Li, Shuyao You, Wanli Liu, Hongzan Sun, Yuexi Wang, Marcin Grzegorzek, Chen Li:
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect. ADMA (5) 2023: 623-633 - [c110]Tianming Du, Chen Li, Tao Jiang, Jinzhu Yang, Marcin Grzegorzek, Hongzan Sun:
Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. IEEE Big Data 2023: 4392-4396 - [c109]Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. IEEE Big Data 2023: 4397-4405 - [c108]Shanchuan Huang, Hongwei Lei, Liuhan Jin, Jinzhu Yang, Tao Jiang, Yudong Yao, Marcin Grzegorzek, Chen Li:
Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches. IEEE Big Data 2023: 4424-4431 - [c107]Hechen Yang, Jinzhu Yang, Tao Jiang, Xin Zhao, Jinghua Zhang, Peng Zhao, Ao Chen, Qianqing Nie, Marcin Grzegorzek, Chen Li:
ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection. IEEE Big Data 2023: 4466-4474 - [c106]Szymon Siecinski, Muhammad Tausif Irshad, Md. Abid Hasan, Ewaryst J. Tkacz, Pawel S. Kostka, Marcin Grzegorzek:
Symmetric Projection Attractor Reconstruction Analysis as a Method to Assess Seismocardiogram Quality in a Healthy Population. EMBC 2023: 1-4 - [c105]Szymon Siecinski, Ewaryst J. Tkacz, Marcin Grzegorzek:
Publicly available signal databases containing seismocardiographic signals - the state in early 2023. EMBC 2023: 1-4 - [c104]Md. Abid Hasan, Nirjhor Tahmidur Rouf, Md Sajid Hossain, Lamia Binta Latif, Anika Tasnim, Marcin Grzegorzek:
A Location-Independent Flood Prediction Model for Bangladesh's Rivers. ICTAI 2023: 143-148 - [c103]Steffen Kastner, Markus Ebner, Markus Bullmann, Toni Fetzer, Frank Deinzer, Marcin Grzegorzek:
SIMUL: Synchronized IMU Dataset of Walking People at Six Body Locations. IPIN 2023: 1-7 - [c102]Jiawei Zhang, Shuojia Zou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Wei Qian, Hongzan Sun, Marcin Grzegorzek, Guojun Wang:
TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. ISBI 2023: 1-5 - [c101]Robert Schumann, Frédéric Li, Marcin Grzegorzek:
WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living. iWOAR 2023: 3:1-3:8 - [c100]Szymon Siecinski, Muhammad Tausif Irshad, Md. Abid Hasan, Ewaryst Tkacz, Marcin Grzegorzek:
Assessment of Quality of Gyrocardiograms Based on Features Derived from Symmetric Projection Attractor Reconstruction. iWOAR 2023: 15:1-15:5 - [c99]Gabriela Ciortuz, Marcin Grzegorzek, Sebastian J. F. Fudickar:
Effects of Time-Series Data Pre-processing on the Transformer-based Classification of Activities from Smart Glasses. iWOAR 2023: 18:1-18:4 - [c98]Md. Abid Hasan, Frédéric Li, Artur Piet, Philip Gouverneur, Muhammad Tausif Irshad, Marcin Grzegorzek:
Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition. iWOAR 2023: 20:1-20:7 - [c97]Lennart Jablonski, Torge Jensen, Greta M. Ahlemann, Xinyu Huang, Vivian V. Tetzlaff-Lelleck, Artur Piet, Franziska Schmelter, Valerie S. Dinkler, Christian Sina, Marcin Grzegorzek:
Sensor-Based Detection of Food Hypersensitivity Using Machine Learning. iWOAR 2023: 23:1-23:8 - [e3]Denys J. C. Matthies, Marcin Grzegorzek, Arjan Kuijper, Heike Leutheuser:
Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2023, Lübeck, Germany, September 21-22, 2023. ACM 2023 [contents] - [i33]Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li:
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. CoRR abs/2301.06002 (2023) - [i32]Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun:
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation. CoRR abs/2308.08172 (2023) - [i31]Dechao Tang, Xuanyi Li, Tianming Du, Deguo Ma, Zhiyu Ma, Hongzan Sun, Marcin Grzegorzek, Huiyan Jiang, Chen Li:
ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. CoRR abs/2308.08313 (2023) - [i30]Deguo Ma, Chen Li, Lin Qiao, Tianming Du, Dechao Tang, Zhiyu Ma, Marcin Grzegorzek, Hongzan Sun:
PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage. CoRR abs/2308.10521 (2023) - [i29]Cong Yang, Bipin Indurkhya, John See, Bo Gao, Yan Ke, Zeyd Boukhers, Zhenyu Yang, Marcin Grzegorzek:
Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks. CoRR abs/2310.06437 (2023) - 2022
- [j62]Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek:
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches. Artif. Intell. Rev. 55(4): 2875-2944 (2022) - [j61]Xintong Li, Chen Li, Md Mamunur Rahaman, Hongzan Sun, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches. Artif. Intell. Rev. 55(6): 4809-4878 (2022) - [j60]Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers. Comput. Biol. Medicine 141: 105026 (2022) - [j59]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Yong Zhang, Haoyuan Chen, Wanli Liu, Changhao Sun, Yudong Yao, Hongzan Sun, Marcin Grzegorzek:
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. Comput. Biol. Medicine 142: 105207 (2022) - [j58]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. Comput. Biol. Medicine 143: 105265 (2022) - [j57]Shuojia Zou, Chen Li, Hongzan Sun, Peng Xu, Jiawei Zhang, Pingli Ma, Yudong Yao, Xinyu Huang, Marcin Grzegorzek:
TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos. Comput. Biol. Medicine 146: 105543 (2022) - [j56]Haoyuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Mamunur Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek:
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. Pattern Recognit. 130: 108827 (2022) - [j55]Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. Pattern Recognit. 130: 108829 (2022) - [j54]Hawzhin Hozhabr Pour, Frédéric Li, Lukas Wegmeth, Christian Trense, Rafal Doniec, Marcin Grzegorzek, Roland Wismüller:
A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars. Sensors 22(10): 3634 (2022) - [j53]Raoul Hoffmann, Hanna Brodowski, Axel Steinhage, Marcin Grzegorzek:
Correction: Hoffmann et al. Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks. Sensors 2021, 21, 1086. Sensors 22(13): 4896 (2022) - [j52]Muhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, Jana Hartz, Olaf Flak, Frédéric Li, Philip Gouverneur, Artur Piet, Kerstin M. Oltmanns, Marcin Grzegorzek:
SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors. Sensors 22(20): 7711 (2022) - [c96]Steffen Kastner, Markus Ebner, Markus Bullmann, Toni Fetzer, Frank Deinzer, Marcin Grzegorzek:
Magnetic Signature Sensor Model for Accurate Short-Distance Localization. IEEE SENSORS 2022: 1-4 - [c95]Markus Bullmann, Toni Fetzer, Markus Ebner, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek:
Data Driven Sensor Model for Wi-Fi Fine Timing Measurement. IPIN 2022: 1-8 - [c94]Markus Ebner, Toni Fetzer, Markus Bullmann, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek:
PIPF: Proposal-Interpolating Particle Filter. IPIN 2022: 1-8 - [c93]Laura Liebenow, Jasmin Walter, Raoul Hoffmann, Axel Steinhage, Marcin Grzegorzek:
Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data - A Single Case Study. ITIB 2022: 3-14 - [c92]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Marcin Grzegorzek:
DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification. ITIB 2022: 285-294 - [c91]Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Haiqing Zhang, Yixin Li, Hongzan Sun, Marcin Grzegorzek:
Image Classification in Breast Histopathology Using Transfer and Ensemble Learning. ITIB 2022: 295-306 - [c90]Jiawei Zhang, Chen Li, Hongzan Sun, Marcin Grzegorzek:
PIS-Net: A Novel Pixel Interval Sampling Network for Dense Microorganism Counting in Microscopic Images. ITIB 2022: 307-318 - [c89]Gabriela Augustinov, Muhammad Adeel Nisar, Frédéric Li, Seyed Amir Hossein Tabatabaei, Marcin Grzegorzek, Keywan Sohrabi, Sebastian J. F. Fudickar:
Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data. iWOAR 2022: 9:1-9:8 - [c88]Yulu Zhang, Liang Sang, Marcin Grzegorzek, John See, Cong Yang:
BlumNet: Graph Component Detection for Object Skeleton Extraction. ACM Multimedia 2022: 5527-5536 - [i28]Xiaoqi Li, Haoyuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek:
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review. CoRR abs/2201.08550 (2022) - [i27]Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek:
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification. CoRR abs/2202.06465 (2022) - [i26]Wenwei Zhao, Pingli Ma, Chen Li, Xiaoning Bu, Shuojia Zou, Tao Jiang, Marcin Grzegorzek:
A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis. CoRR abs/2202.07820 (2022) - [i25]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, Haoyuan Chen, Wanli Liu, Yudong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorzek:
EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. CoRR abs/2202.08552 (2022) - [i24]Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek:
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements. CoRR abs/2202.09020 (2022) - [i23]Jiawei Zhang, Ning Xu, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Yu-Hao Lin, Jinghua Zhang, Tao Jiang, Wenjun Qin, Marcin Grzegorzek:
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images. CoRR abs/2204.01341 (2022) - [i22]Shuojia Zou, Chen Li, Hongzan Sun, Peng Xu, Jiawei Zhang, Pingli Ma, Yudong Yao, Xinyu Huang, Marcin Grzegorzek:
TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos. CoRR abs/2204.08166 (2022) - [i21]Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology. CoRR abs/2204.08311 (2022) - [i20]Haiqing Zhang, Chen Li, Shiliang Ai, Haoyuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer. CoRR abs/2205.08467 (2022) - [i19]Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li:
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer. CoRR abs/2205.12843 (2022) - [i18]Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron. CoRR abs/2206.00971 (2022) - [i17]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. CoRR abs/2206.03368 (2022) - [i16]Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features. CoRR abs/2208.14957 (2022) - [i15]Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li:
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. CoRR abs/2212.00532 (2022) - 2021
- [j51]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
Vision-based approaches towards person identification using gait. Comput. Sci. Rev. 42: 100432 (2021) - [j50]Areeba Ilyas, Muhammad Shahid Farid, Muhammad Hassan Khan, Marcin Grzegorzek:
Exploiting Superpixels for Multi-Focus Image Fusion. Entropy 23(2): 247 (2021) - [j49]Jinghua Zhang, Chen Li, Sergey Kosov, Marcin Grzegorzek, Kimiaki Shirahama, Tao Jiang, Changhao Sun, Zihan Li, Hong Li:
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation. Pattern Recognit. 115: 107885 (2021) - [j48]Raoul Hoffmann, Hanna Brodowski, Axel Steinhage, Marcin Grzegorzek:
Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks. Sensors 21(4): 1086 (2021) - [j47]Fatima Amjad, Muhammad Hassan Khan, Muhammad Adeel Nisar, Muhammad Shahid Farid, Marcin Grzegorzek:
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data. Sensors 21(7): 2368 (2021) - [j46]Philip Gouverneur, Frédéric Li, Waclaw M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek:
Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition. Sensors 21(14): 4838 (2021) - [j45]Cong Yang, Bipin Indurkhya, John See, Marcin Grzegorzek:
Towards Automatic Skeleton Extraction With Skeleton Grafting. IEEE Trans. Vis. Comput. Graph. 27(12): 4520-4532 (2021) - [i14]Chen Li, Xintong Li, Md Mamunur Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches. CoRR abs/2102.10553 (2021) - [i13]Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek:
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis. CoRR abs/2102.12147 (2021) - [i12]Chen Li, Xintong Li, Xiaoyan Li, Md Mamunur Rahaman, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis: from Popular Convolutional Neural Networks to Potential Visual Transformers. CoRR abs/2104.06243 (2021) - [i11]Haoyuan Chen, Chen Li, Xiaoyan Li, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. CoRR abs/2104.14528 (2021) - [i10]Chen Li, Pingli Ma, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek:
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers. CoRR abs/2105.03148 (2021) - [i9]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek:
Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2105.07402 (2021) - [i8]Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek:
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer. CoRR abs/2106.01927 (2021) - [i7]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek:
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer. CoRR abs/2106.02473 (2021) - [i6]Hechen Yang, Chen Li, Peng Zhao, Ao Chen, Xin Zhao, Marcin Grzegorzek:
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2106.11582 (2021) - [i5]Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek:
A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2107.07699 (2021) - [i4]Jinghua Zhang, Chen Li, Marcin Grzegorzek:
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer. CoRR abs/2108.00358 (2021) - [i3]Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Xinyu Huang, Marcin Grzegorzek:
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation. CoRR abs/2110.07723 (2021) - [i2]Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek:
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation. CoRR abs/2112.07111 (2021) - [i1]Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama:
Cross-modal Music Emotion Recognition Using Composite Loss-based Embeddings. CoRR abs/2112.07192 (2021) - 2020
- [j44]Xinyu Huang, Kimiaki Shirahama, Frédéric Li, Marcin Grzegorzek:
Sleep stage classification for child patients using DeConvolutional Neural Network. Artif. Intell. Medicine 110: 101981 (2020) - [j43]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
A non-linear view transformations model for cross-view gait recognition. Neurocomputing 402: 100-111 (2020) - [j42]Sylwia Henselmeyer, Marcin Grzegorzek:
Short-term load forecasting with discrete state Hidden Markov Models. J. Intell. Fuzzy Syst. 38(2): 2273-2284 (2020) - [j41]Muhammad Hassan Khan, Martin Zöller, Muhammad Shahid Farid, Marcin Grzegorzek:
Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure. Sensors 20(11): 3312 (2020) - [j40]Muhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, Xinyu Huang, Marcin Grzegorzek:
Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition. Sensors 20(12): 3463 (2020) - [j39]Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang, Marcin Grzegorzek:
Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification. Sensors 20(15): 4271 (2020) - [j38]Markus Bullmann, Toni Fetzer, Frank Ebner, Markus Ebner, Frank Deinzer, Marcin Grzegorzek:
Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios. Sensors 20(16): 4515 (2020) - [j37]Muhammad Tausif Irshad, Muhammad Adeel Nisar, Philip Gouverneur, Marion Rapp, Marcin Grzegorzek:
AI Approaches towards Prechtl's Assessment of General Movements: A Systematic Literature Review. Sensors 20(18): 5321 (2020) - [j36]Markus Ebner, Toni Fetzer, Markus Bullmann, Frank Deinzer, Marcin Grzegorzek:
Recognition of Typical Locomotion Activities Based on the Sensor Data of a Smartphone in Pocket or Hand. Sensors 20(22): 6559 (2020)
2010 – 2019
- 2019
- [j35]Seyed Amir Hossein Tabatabaei, Ahmad Delforouzi, Muhammad Hassan Khan, Tim Wesener, Marcin Grzegorzek:
Automatic Detection of the Cracks on the Concrete Railway Sleepers. Int. J. Pattern Recognit. Artif. Intell. 33(9): 1955010:1-1955010:20 (2019) - [j34]Sergey Kosov, Kimiaki Shirahama, Marcin Grzegorzek:
Labeling of partially occluded regions via the multi-layer CRF. Multim. Tools Appl. 78(2): 2551-2569 (2019) - [j33]Ahmad Delforouzi, Seyed Amir Hossein Tabatabaei, Kimiaki Shirahama, Marcin Grzegorzek:
A polar model for fast object tracking in 360-degree camera images. Multim. Tools Appl. 78(7): 9275-9297 (2019) - [j32]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
A generic codebook based approach for gait recognition. Multim. Tools Appl. 78(24): 35689-35712 (2019) - [j31]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
Spatiotemporal features of human motion for gait recognition. Signal Image Video Process. 13(2): 369-377 (2019) - [c87]Hawzhin Hozhabr Pour, Lukas Wegmeth, Alexander Kordes, Marcin Grzegorzek, Roland Wismüller:
Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach. CORES 2019: 184-194 - [c86]Ahmad Delforouzi, David Holighaus, Marcin Grzegorzek:
Deep Learning for Object Tracking in 360 Degree Videos. CORES 2019: 205-213 - [c85]Noemi Kowalewska, Przemyslaw Lagodzinski, Marcin Grzegorzek:
Electromyography Based Translator of the Polish Sign Language. ITIB 2019: 93-102 - [c84]Maja Trzepacz, Przemyslaw Lagodzinski, Marcin Grzegorzek:
Electrooculography Application in Vision Therapy Using Smart Glasses. ITIB 2019: 103-116 - 2018
- [j30]Marcin Grzegorzek, Arkadiusz Gertych, Georg Aumayr, Ewa Pietka:
Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance. Comput. Biol. Medicine 95: 234-235 (2018) - [j29]Lukas Köping, Kimiaki Shirahama, Marcin Grzegorzek:
A general framework for sensor-based human activity recognition. Comput. Biol. Medicine 95: 248-260 (2018) - [j28]Przemyslaw Lagodzinski, Kimiaki Shirahama, Marcin Grzegorzek:
Codebook-based electrooculography data analysis towards cognitive activity recognition. Comput. Biol. Medicine 95: 277-287 (2018) - [j27]Muhammad Hassan Khan, Julien Helsper, Muhammad Shahid Farid, Marcin Grzegorzek:
A computer vision-based system for monitoring Vojta therapy. Int. J. Medical Informatics 113: 85-95 (2018) - [j26]Zeyd Boukhers, Kimiaki Shirahama, Marcin Grzegorzek:
Less restrictive camera odometry estimation from monocular camera. Multim. Tools Appl. 77(13): 16199-16222 (2018) - [j25]Sergey Kosov, Kimiaki Shirahama, Chen Li, Marcin Grzegorzek:
Environmental microorganism classification using conditional random fields and deep convolutional neural networks. Pattern Recognit. 77: 248-261 (2018) - [j24]Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, Marcin Grzegorzek:
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors. Sensors 18(2): 679 (2018) - [j23]Muhammad Hassan Khan, Manuel Schneider, Muhammad Shahid Farid, Marcin Grzegorzek:
Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model. Sensors 18(10): 3202 (2018) - [j22]Ahmad Delforouzi, Bhargav Pamarthi, Marcin Grzegorzek:
Training-Based Methods for Comparison of Object Detection Methods for Visual Object Tracking. Sensors 18(11): 3994 (2018) - [j21]Toni Fetzer, Frank Ebner, Markus Bullmann, Frank Deinzer, Marcin Grzegorzek:
Smartphone-Based Indoor Localization within a 13th Century Historic Building. Sensors 18(12): 4095 (2018) - [j20]Cong Yang, Olaf Flak, Marcin Grzegorzek:
Representation and Matching of Team Managers: An Experimental Research. IEEE Trans. Comput. Soc. Syst. 5(2): 311-323 (2018) - [j19]Zeyd Boukhers, Kimiaki Shirahama, Marcin Grzegorzek:
Example-Based 3D Trajectory Extraction of Objects From 2D Videos. IEEE Trans. Circuits Syst. Video Technol. 28(9): 2246-2260 (2018) - [c83]Armin Grünewald, David Kroenert, Jonas Poehler, Rainer Brück, Frédéric Li, Julian Littau, Katrin Schnieber, Artur Piet, Marcin Grzegorzek, Henrik Kampling, Björn Niehaves:
Biomedical Data Acquisition and Processing to Recognize Emotions for Affective Learning. BIBE 2018: 126-132 - [c82]Markus Bullmann, Toni Fetzer, Frank Ebner, Frank Deinzer, Marcin Grzegorzek:
Fast Kernel Density Estimation Using Gaussian Filter Approximation. FUSION 2018: 1233-1240 - [c81]Muhammad Hassan Khan, Muhammad Shahid Farid, Maryiam Zahoor, Marcin Grzegorzek:
Cross- View Gait Recognition Using Non-Linear View Transformations of Spatiotemporal Features. ICIP 2018: 773-777 - [c80]David Krönert, Armin Grünewald, Frédéric Li, Marcin Grzegorzek, Rainer Brück:
Sensor Headband for Emotion Recognition in a Virtual Reality Environment. ITIB 2018: 539-548 - [c79]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
Using a generic model for codebook-based gait recognition algorithms. IWBF 2018: 1-7 - 2017
- [j18]Frank Ebner, Toni Fetzer, Frank Deinzer, Marcin Grzegorzek:
On Wi-Fi Model Optimizations for Smartphone-Based Indoor Localization. ISPRS Int. J. Geo Inf. 6(8): 233 (2017) - [j17]Muhammad Hassan Khan, Marcin Grzegorzek:
Vojta-Therapy: A Vision-Based Framework to Recognize the Movement Patterns. Int. J. Softw. Innov. 5(3): 18-32 (2017) - [j16]Cong Yang, Oliver Tiebe, Kimiaki Shirahama, Ewa Lukasik, Marcin Grzegorzek:
Evaluating contour segment descriptors. Mach. Vis. Appl. 28(3-4): 373-391 (2017) - [c78]Muhammad Hassan Khan, Frédéric Li, Muhammad Shahid Farid, Marcin Grzegorzek:
Gait Recognition Using Motion Trajectory Analysis. CORES 2017: 73-82 - [c77]Ahmad Delforouzi, Seyed Amir Hossein Tabatabaei, Muhammad Hassan Khan, Marcin Grzegorzek:
A Vision-Based Method for Automatic Crack Detection in Railway Sleepers. CORES 2017: 130-139 - [c76]Philip Gouverneur, Joanna Jaworek-Korjakowska, Lukas Köping, Kimiaki Shirahama, Pawel Kleczek, Marcin Grzegorzek:
Classification of Physiological Data for Emotion Recognition. ICAISC (1) 2017: 619-627 - [c75]Joanna Jaworek-Korjakowska, Pawel Kleczek, Marcin Grzegorzek, Kimiaki Shirahama:
Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature. ICAISC (1) 2017: 649-657 - [c74]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
Person identification using spatiotemporal motion characteristics. ICIP 2017: 166-170 - [c73]Olaf Flak, Cong Yang, Marcin Grzegorzek:
Action Sequence Matching of Team Managers. ICPRAM 2017: 386-393 - [c72]Frédéric Li, Lukas Köping, Sebastian Schmitz, Marcin Grzegorzek:
Real-Time Gesture Recognition using a Particle Filtering Approach. ICPRAM 2017: 394-401 - [c71]Toni Fetzer, Frank Ebner, Frank Deinzer, Marcin Grzegorzek:
Recovering from sample impoverishment in context of indoor localisation. IPIN 2017: 1-8 - [c70]Ahmad Delforouzi, Marcin Grzegorzek:
Robust and Fast Object Tracking for Challenging 360-degree Videos. ISM 2017: 274-277 - [c69]Sven Seele, Tobias Haubrich, Tim Metzler, Jonas Schild, Rainer Herpers, Marcin Grzegorzek:
Integration of Multi-modal Cues in Synthetic Attention Processes to Drive Virtual Agent Behavior. IVA 2017: 403-412 - [c68]Sven Seele, Tobias Haubrich, Jonas Schild, Rainer Herpers, Marcin Grzegorzek:
Augmenting Cognitive Processes and Behavior of Intelligent Virtual Agents by Modeling Synthetic Perception. ACM Multimedia (Thematic Workshops) 2017: 117-125 - [c67]Zhenying He, Takashi Shinozaki, Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Kobe University, NICT and University of Siegen at TRECVID 2017 AVS Task. TRECVID 2017 - 2016
- [j15]Kimiaki Shirahama, Marcin Grzegorzek:
Towards large-scale multimedia retrieval enriched by knowledge about human interpretation - Retrospective survey. Multim. Tools Appl. 75(1): 297-331 (2016) - [j14]Jorge René Nuricumbo, Haider Ali, Zoltan-Csaba Marton, Marcin Grzegorzek:
Improving object classification robustness in RGB-D using adaptive SVMs. Multim. Tools Appl. 75(12): 6829-6847 (2016) - [j13]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek:
Environmental microbiology aided by content-based image analysis. Pattern Anal. Appl. 19(2): 531-547 (2016) - [j12]Cong Yang, Oliver Tiebe, Kimiaki Shirahama, Marcin Grzegorzek:
Object matching with hierarchical skeletons. Pattern Recognit. 55: 183-197 (2016) - [j11]Cong Yang, Christian Feinen, Oliver Tiebe, Kimiaki Shirahama, Marcin Grzegorzek:
Shape-based object matching using interesting points and high-order graphs. Pattern Recognit. Lett. 83: 251-260 (2016) - [c66]Muhammad Hassan Khan, Julien Helsper, Cong Yang, Marcin Grzegorzek:
An automatic vision-based monitoring system for accurate Vojta-therapy. ICIS 2016: 1-6 - [c65]Frank Ebner, Toni Fetzer, Frank Deinzer, Marcin Grzegorzek:
On prior navigation knowledge in multi sensor indoor localisation. FUSION 2016: 557-564 - [c64]Zeyd Boukhers, Yicong Wang, Kimiaki Shirahama, Kuniaki Uehara, Marcin Grzegorzek:
Convoy Detection in Crowded Surveillance Videos. HBU 2016: 137-147 - [c63]Kimiaki Shirahama, Lukas Köping, Marcin Grzegorzek:
Codebook approach for sensor-based human activity recognition. UbiComp Adjunct 2016: 197-200 - [c62]Muhammad Hassan Khan, Julien Helsper, Zeyd Boukhers, Marcin Grzegorzek:
Automatic recognition of movement patterns in the vojta-therapy using RGB-D data. ICIP 2016: 1235-1239 - [c61]Yan Ling Zou, Chen Li, Kimiaki Shirahama, Tao Jiang, Marcin Grzegorzek:
Environmental microorganism image retrieval using multiple colour channels fusion and particle swarm optimisation. ICIP 2016: 2475-2479 - [c60]Xinyu Huang, Chen Li, Minmin Shen, Kimiaki Shirahama, Johanna Nyffeler, Marcel Leist, Marcin Grzegorzek, Oliver Deussen:
Stem cell microscopic image segmentation using supervised normalized cuts. ICIP 2016: 4140-4144 - [c59]Ahmad Delforouzi, Seyed Amir Hossein Tabatabaei, Kimiaki Shirahama, Marcin Grzegorzek:
Unknown object tracking in 360-degree camera images. ICPR 2016: 1798-1803 - [c58]Toni Fetzer, Frank Ebner, Frank Deinzer, Lukas Köping, Marcin Grzegorzek:
On Monte Carlo smoothing in multi sensor indoor localisation. IPIN 2016: 1-8 - [c57]Marcin Grzegorzek:
Medical Data Understanding. ISD 2016 - [c56]Ahmad Delforouzi, Seyed Amir Hossein Tabatabaei, Kimiaki Shirahama, Marcin Grzegorzek:
Polar Object Tracking in 360-Degree Camera Images. ISM 2016: 347-352 - [c55]Kimiaki Shirahama, Marcin Grzegorzek:
Emotion Recognition Based on Physiological Sensor Data Using Codebook Approach. ITIB (2) 2016: 27-39 - [c54]Marcin D. Bugdol, Andrzej W. Mitas, Marcin Grzegorzek, Robert Meyer, Christoph Wilhelm:
Human Activity Recognition Using Smartphone Sensors. ITIB (2) 2016: 41-47 - [c53]Muhammad Hassan Khan, Kimiaki Shirahama, Muhammad Shahid Farid, Marcin Grzegorzek:
Multiple human detection in depth images. MMSP 2016: 1-6 - [c52]Cong Yang, Oliver Tiebe, Marcin Grzegorzek, Bipin Indurkhya:
Investigations on skeleton completeness for skeleton-based shape matching. SPA 2016: 113-118 - [c51]Yasuyuki Matsumoto, Takashi Shinozaki, Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Kobe University, NICT and University of Siegen at TRECVID 2016 AVS Task. TRECVID 2016 - 2015
- [j10]Imad Zyout, Joanna Czajkowska, Marcin Grzegorzek:
Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography. Comput. Medical Imaging Graph. 46: 95-107 (2015) - [j9]Joanna Czajkowska, Christian Feinen, Marcin Grzegorzek, Matthias Raspe, Ralph Wickenhöfer:
Skeleton Graph Matching vs. Maximum Weight Cliques aorta registration techniques. Comput. Medical Imaging Graph. 46: 142-152 (2015) - [j8]Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Weakly supervised detection of video events using hidden conditional random fields. Int. J. Multim. Inf. Retr. 4(1): 17-32 (2015) - [j7]Kimiaki Shirahama, Marcin Grzegorzek, Bipin Indurkhya:
Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey. J. Probl. Solving 8(1) (2015) - [j6]Minmin Shen, Chen Li, Wei Huang, Paul Szyszka, Kimiaki Shirahama, Marcin Grzegorzek, Dorit Merhof, Oliver Deussen:
Interactive tracking of insect posture. Pattern Recognit. 48(11): 3560-3571 (2015) - [c50]Cong Yang, Oliver Tiebe, Marcin Grzegorzek, Ewa Lukasik:
Skeleton-based audio envelope shape analysis. ACPR 2015: 514-518 - [c49]Zeyd Boukhers, Kimiaki Shirahama, Frédéric Li, Marcin Grzegorzek:
Object detection and depth estimation for 3D trajectory extraction. CBMI 2015: 1-6 - [c48]Zeyd Boukhers, Tomasz Jarzynski, Florian Schmidt, Oliver Tiebe, Marcin Grzegorzek:
Shape-Based Eye Blinking Detection and Analysis. CORES 2015: 327-335 - [c47]Yan Ling Zou, Chen Li, Zeyd Boukhers, Kimiaki Shirahama, Tao Jiang, Marcin Grzegorzek:
Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram. CORES 2015: 543-552 - [c46]Lukas Köping, Marcin Grzegorzek, Frank Deinzer, Szymon Bobek, Mateusz Slazynski, Grzegorz J. Nalepa:
Improving indoor localization by user feedback. FUSION 2015: 1053-1060 - [c45]Cong Yang, Oliver Tiebe, Pit Pietsch, Christian Feinen, Udo Kelter, Marcin Grzegorzek:
Shape-based Object Retrieval and Classification with Supervised Optimisation. ICPRAM (1) 2015: 204-211 - [c44]Frank Ebner, Toni Fetzer, Frank Deinzer, Lukas Köping, Marcin Grzegorzek:
Multi sensor 3D indoor localisation. IPIN 2015: 1-11 - [c43]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek:
Environmental Microorganism Classification Using Sparse Coding and Weakly Supervised Learning. EMR@ICMR 2015: 9-14 - [c42]Zeyd Boukhers, Kimiaki Shirahama, Frédéric Li, Marcin Grzegorzek:
Extracting 3D Trajectories of Objects from 2D Videos using Particle Filter. ICMR 2015: 83-90 - [c41]Cong Yang, Christian Feinen, Oliver Tiebe, Kimiaki Shirahama, Marcin Grzegorzek:
Shape-based Object Matching Using Point Context. ICMR 2015: 519-522 - [c40]Jens Hedrich, Dietrich Paulus, Francois Genois, Marcin Grzegorzek:
Enhanced surface normal computation by exploiting RGB-D sensory information. MVA 2015: 26-29 - [c39]Cong Yang, Marcin Grzegorzek, Ewa Lukasik:
Representing the evolving temporal envelope of musical instruments sounds using Computer Vision methods. SPA 2015: 76-80 - [c38]Kimiaki Shirahama, Takashi Shinozaki, Yasuyuki Matsumoto, Marcin Grzegorzek, Kuniaki Uehara:
University of Siegen, Kobe University and NICT at TRECVID 2015 SIN and MED Tasks. TRECVID 2015 - [p2]Kimiaki Shirahama, Kenji Kumabuchi, Marcin Grzegorzek, Kuniaki Uehara:
Video Retrieval Based on Uncertain Concept Detection Using Dempster-Shafer Theory. Multimedia Data Mining and Analytics 2015: 269-294 - 2014
- [c37]Cong Yang, Marcin Grzegorzek:
Object Similarity by Humans and Machines. AAAI Fall Symposia 2014 - [c36]Christian Feinen, Cong Yang, Oliver Tiebe, Marcin Grzegorzek:
Shape Matching Using Point Context and Contour Segments. ACCV (4) 2014: 95-110 - [c35]Christian Feinen, Joanna Czajkowska, Marcin Grzegorzek, Matthias Raspe, Ralph Wickenhöfer:
Skeleton-based abdominal aorta registration technique. EMBC 2014: 6718-6721 - [c34]Cong Yang, Oliver Tiebe, Pit Pietsch, Christian Feinen, Udo Kelter, Marcin Grzegorzek:
Shape-based object retrieval by contour segment matching. ICIP 2014: 2202-2206 - [c33]Christian Feinen, Joanna Czajkowska, Marcin Grzegorzek, Longin Jan Latecki:
3D object retrieval by 3D curve matching. ICIP 2014: 2749-2753 - [c32]Cong Yang, Chen Li, Oliver Tiebe, Kimiaki Shirahama, Marcin Grzegorzek:
Shape-Based Classification of Environmental Microorganisms. ICPR 2014: 3374-3379 - [c31]Toni Fetzer, Frank Deinzer, Lukas Köping, Marcin Grzegorzek:
Statistical indoor localization using fusion of depth-images and step detection. IPIN 2014: 407-415 - [c30]Frank Ebner, Frank Deinzer, Lukas Köping, Marcin Grzegorzek:
Robust self-localization using Wi-Fi, step/turn-detection and recursive density estimation. IPIN 2014: 627-635 - [c29]Kimiaki Shirahama, Marcin Grzegorzek, Kuniaki Uehara:
Multimedia Event Detection Using Hidden Conditional Random Fields. ICMR 2014: 9 - 2013
- [j5]Marcin Grzegorzek, Michael Granitzer, Stefan M. Rüger, Michael Sintek, Thierry Declerck, Massimo Romanelli:
Trends in semantic and digital media technologies. Multim. Tools Appl. 62(2): 311-318 (2013) - [c28]Jens Hedrich, Cong Yang, Christian Feinen, Simone Schäfer, Dietrich Paulus, Marcin Grzegorzek:
Extended Investigations on Skeleton Graph Matching for Object Recognition. CORES 2013: 371-381 - [c27]Marcin Grzegorzek, Chen Li, Johann Raskatow, Dietrich Paulus, Natalia Vassilieva:
Texture-Based Text Detection in Digital Images with Wavelet Features and Support Vector Machines. CORES 2013: 857-866 - [c26]Chen Li, Kimiaki Shirahama, Marcin Grzegorzek, Fangshu Ma, Beihai Zhou:
Classification of environmental microorganisms in microscopic images using shape features and support vector machines. ICIP 2013: 2435-2439 - [c25]Christian Feinen, David Barnowsky, Dietrich Paulus, Marcin Grzegorzek:
Robust 3-D Object Skeletonisation for the Similarity Measure. ICPRAM 2013: 167-175 - [c24]Ali Amanpourgharaei, Christian Feinen, Marcin Grzegorzek:
Graph-based Shape Representation for Object Retrieval. ICPRAM 2013: 315-318 - [c23]Joanna Czajkowska, Jacek Kawa, Zbigniew Czajkowski, Marcin Grzegorzek:
4-D fuzzy connectedness-based medical image segmentation technique. MIXDES 2013: 519-524 - [c22]Kimiaki Shirahama, Chen Li, Marcin Grzegorzek, Kuniaki Uehara:
University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection. TRECVID 2013 - [e2]Marcin Grzegorzek, Christian Theobalt, Reinhard Koch, Andreas Kolb:
Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications - Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities. Lecture Notes in Computer Science 8200, Springer 2013, ISBN 978-3-642-44963-5 [contents] - 2012
- [c21]Kimiaki Shirahama, Kuniaki Uehara, Marcin Grzegorzek:
Examining the applicability of virtual reality technique for video retrieval. CBMI 2012: 1-6 - [c20]Marcin Grzegorzek, Paula Lubina:
Blood Vessel Segmentation in HRT Images for Glaucoma Early Detection. ITIB 2012: 1-12 - 2011
- [p1]Christian Feinen, Marcin Grzegorzek, Detlev Droege, Dietrich Paulus:
A Generic Approach to the Texture Detection Problem in Digital Images. Computer Recognition Systems 4 2011: 375-384 - [e1]Thierry Declerck, Michael Granitzer, Marcin Grzegorzek, Massimo Romanelli, Stefan M. Rüger, Michael Sintek:
Semantic Multimedia - 5th International Conference on Semantic and Digital Media Technologies, SAMT 2010. Saarbrücken, Germany, December 1-3, 2010. Revised Selected Papers. Lecture Notes in Computer Science 6725, Springer 2011, ISBN 978-3-642-23016-5 [contents] - 2010
- [j4]Marcin Grzegorzek, Sorin Sav, Noel E. O'Connor, Ebroul Izquierdo:
Local Wavelet Features for Statistical Object Classification and Localization. IEEE Multim. 17(1): 118 (2010) - [j3]Marcin Grzegorzek, Lynda Hardman, David Duce, Siegfried Handschuh, Michela Spagnuolo:
Introduction to the special issue on semantic and digital media technologies. Multim. Tools Appl. 49(1): 1-5 (2010) - [j2]Marcin Grzegorzek:
A system for 3D texture-based probabilistic object recognition and its applications. Pattern Anal. Appl. 13(3): 333-348 (2010) - [c19]Marcin Grzegorzek, Alexandra Wolyniec, Frank Schmitt, Dietrich Paulus:
Recognition of Objects Represented in Different Color Spaces. CGIV/MCS 2010: 338-345 - [c18]Sebastian Vetter, Marcin Grzegorzek, Dietrich Paulus:
Wavelet-Based Inpainting for Object Removal from Image Series. DAGM-Symposium 2010: 343-352 - [c17]Marcin Grzegorzek, Dietrich Paulus, Marina Trierscheid, Dimitri Papoutsis:
Teeth segmentation in 3D dentition models for the virtual articulator. ICIP 2010: 3609-3612 - [c16]Marcin Grzegorzek, Marina Trierscheid, Dimitri Papoutsis, Dietrich Paulus:
A Multi-stage Approach for 3D Teeth Segmentation from Dentition Surfaces. ICISP 2010: 521-530 - [c15]Felix Graf, Marcin Grzegorzek, Dietrich Paulus:
Counting Lymphocytes in Histopathology Images Using Connected Components. ICPR Contests 2010: 263-269 - [c14]Sönke Greve, Marcin Grzegorzek, Carsten Saathoff, Dietrich Paulus:
Classification of Image Regions Using the Wavelet Standard Deviation Descriptor. IMCSIT 2010: 703-708
2000 – 2009
- 2009
- [c13]Marcin Grzegorzek, Marianna Buckan, Sigrid Horn:
Probabilistic classification of intracranial gliomas in digital microscope images based on EGFR quantity. Medical Imaging: Image Processing 2009: 72591T - [c12]Rabeeh Abbasi, Marcin Grzegorzek, Steffen Staab:
Large Scale Tag Recommendation Using Different Image Representations. SAMT 2009: 65-76 - [c11]Georgios Th. Papadopoulos, Carsten Saathoff, Marcin Grzegorzek, Vasileios Mezaris, Ioannis Kompatsiaris, Steffen Staab, Michael G. Strintzis:
Comparative evaluation of spatial context techniques for semantic image analysis. WIAMIS 2009: 161-164 - 2008
- [c10]Steffen Staab, Ansgar Scherp, Richard Arndt, Raphaël Troncy, Marcin Grzegorzek, Carsten Saathoff, Simon Schenk, Lynda Hardman:
Semantic Multimedia. Reasoning Web 2008: 125-170 - [c9]Carsten Saathoff, Marcin Grzegorzek, Steffen Staab:
Labelling Image Regions Using Wavelet Features and Spatial Prototypes. SAMT 2008: 89-104 - 2007
- [b1]Marcin Grzegorzek:
Appearance based statistical object recognition including color and context modeling. University of Erlangen-Nuremberg, Studien zur Mustererkennung 23, Logos 2007, ISBN 978-3-8325-1588-1, pp. 1-214 - [c8]Pavel Praks, Marcin Grzegorzek, Rudolf Moravec, Ladislav Válek, Ebroul Izquierdo:
Wavelet and Eigen-Space Feature Extraction for Classification of Metallography Images. EJC 2007: 190-199 - [c7]Divna Djordjevic, Ebroul Izquierdo, Marcin Grzegorzek:
User driven systems to bridge the semantic gap. EUSIPCO 2007: 718-722 - [c6]Marcin Grzegorzek, Ebroul Izquierdo:
Statistical 3D object classification and localization with context modeling. EUSIPCO 2007: 1585-1589 - [c5]Uros Damnjanovic, Ebroul Izquierdo, Marcin Grzegorzek:
Shot boundary detection using spectral clustering. EUSIPCO 2007: 1779-1783 - 2005
- [j1]Michael Reinhold, Marcin Grzegorzek, Joachim Denzler, Heinrich Niemann:
Appearance-based recognition of 3-D objects by cluttered background and occlusions. Pattern Recognit. 38(5): 739-753 (2005) - [c4]Marcin Grzegorzek, Michael Reinhold, Heinrich Niemann:
Feature Extraction with Wavelet Transformation for Statistical Object Recognition. CORES 2005: 161-168 - [c3]Marcin Grzegorzek, Heinrich Niemann:
Statistical Object Recognition Including Color Modeling. ICIAR 2005: 481-489 - 2004
- [c2]Marcin Grzegorzek, Kailash N. Pasumarthy, Michael Reinhold, Heinrich Niemann:
Statistical Object Recognition for Multi-Object Scenes with Heterogeneous Background. ICVGIP 2004: 222-227 - 2003
- [c1]Marcin Grzegorzek, Frank Deinzer, Michael Reinhold, Joachim Denzler, Heinrich Niemann:
How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments. VMV 2003: 553-560
Coauthor Index
[j88] [j87] [j86] [j85] [j83] [j79] [j78] [j77] [j76] [j75] [j74] [j71] [c112] [c111] [c110] [c109] [c108] [c107] [c102] [i33] [i32] [i31] [i30] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [c92] [c91] [c90] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [j49] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [j25] [j13] [c61] [c60] [j6] [c47] [c43] [c32] [c27] [c26] [c22]
[j80] [j77] [j68] [j67] [j64] [i16] [j49] [i13] [i1] [j44] [j40] [j39] [j34] [j33] [j29] [j28] [j26] [j25] [j24] [j19] [j16] [c76] [c75] [c67] [j15] [j13] [j12] [j11] [c64] [c63] [c61] [c60] [c59] [c56] [c55] [c53] [c51] [j8] [j7] [j6] [c49] [c47] [c43] [c42] [c41] [c38] [p2] [c32] [c29] [c26] [c22] [c21]
Yu-Dong Yao
aka: Yudong Yao
aka: Yudong Yao
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