TEC-04: Machine Learning for Image and Video Processing II |
Interactive Q&A Time: Monday, 26 October, 18:30 - 19:25 |
Virtual Session: View on Virtual Platform |
Session Chairs: Anil Kokaram, Trinity College Dublin and Ton Kalker, XPERI
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TEC-04.1: EXAGGERATED LEARNING FOR CLEAN-AND-SHARP IMAGE RESTORATION |
Chang Liu; Shanghai Jiao Tong University |
Qifan Gao; Shanghai Jiao Tong University |
Xiaolin Wu; McMaster University |
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TEC-04.2: TRADITIONAL METHOD INSPIRED DEEP NEURAL NETWORK FOR EDGE DETECTION |
Jan Kristanto Wibisono; National Chiao Tung University |
Hsueh-Ming Hang; National Chiao Tung University |
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TEC-04.3: MULTI-STEP QUANTIZATION OF A MULTI-SCALE NETWORK FOR CROWD COUNTING |
Kyujin Shim; Korea Advanced Institute of Science and Technology (KAIST) |
Junyoung Byun; Korea Advanced Institute of Science and Technology (KAIST) |
Changick Kim; Korea Advanced Institute of Science and Technology (KAIST) |
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TEC-04.4: BOOSTING IMAGE-BASED LOCALIZATION VIA RANDOMLY GEOMETRIC DATA AUGMENTATION |
Yiming Wan; NLPR, Institute of Automation, Chinese Academy of Sciences |
Wei Gao; NLPR, Institute of Automation, Chinese Academy of Sciences |
Sheng Han; NLPR, Institute of Automation, Chinese Academy of Sciences |
Yihong Wu; NLPR, Institute of Automation, Chinese Academy of Sciences |
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TEC-04.5: A NOVEL CENTROID UPDATE APPROACH FOR CLUSTERING-BASED SUPERPIXEL METHODS AND SUPERPIXEL-BASED EDGE DETECTION |
Houwang Zhang; China University of Geosciences |
Chong Wu; City University of Hong Kong |
Le Zhang; Tongji University |
Hanying Zheng; China University of Geosciences |
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TEC-04.6: LOSS RESCALING BY UNCERTAINTY INFERENCE FOR SINGLE-STAGE OBJECT DETECTION |
Yan Li; NEC Laboratories, China |
Xiaoyi Chen; NEC Laboratories, China |
Li Quan; NEC Laboratories, China |
Ni Zhang; NEC Laboratories, China |
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TEC-04.7: GAPNET: GENERIC-ATTRIBUTE-POSE NETWORK FOR FINE-GRAINED VISUAL CATEGORIZATION USING MULTI-ATTRIBUTE ATTENTION MODULE |
Minjeong Ju; Korea Advanced Institute of Science and Technology (KAIST) |
Hobin Ryu; Korea Advanced Institute of Science and Technology (KAIST) |
Sangkeun Moon; Korea Electric Power Corporation (KEPCO) Research Institute |
Chang D. Yoo; Korea Advanced Institute of Science and Technology (KAIST) |
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TEC-04.8: DESHUFFLEGAN: A SELF-SUPERVISED GAN TO IMPROVE STRUCTURE LEARNING |
Gulcin Baykal; Istanbul Technical University |
Gozde Unal; Istanbul Technical University |
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TEC-04.9: SUBSET SAMPLING FOR PROGRESSIVE NEURAL NETWORK LEARNING |
Dat Thanh Tran; Tampere University |
Moncef Gabbouj; Tampere University |
Alexandros Iosifidis; Aarhus University |
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TEC-04.10: EFFICIENT DETECTION OF PIXEL-LEVEL ADVERSARIAL ATTACKS |
Syed Afaq Ali Shah; Murdoch University |
Moise Bougre; ENSEA |
Naveed Akhtar; University of Western Australia |
Mohammed Bennamoun; University of Western Australia |
Liang Zhang; Xidian University |
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TEC-04.11: HIERARCHICAL MODEL FOR LONG-LENGTH VIDEO SUMMARIZATION WITH ADVERSARIALLY ENHANCED AUDIO/VISUAL FEATURES |
Hansol Lee; Seoul National University of Science and Technology |
Gyemin Lee; Seoul National University of Science and Technology |
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TEC-04.12: ROBUST ADVERSARIAL LEARNING FOR SEMI-SUPERVISED SEMANTIC SEGMENTATION |
Jia Zhang; Guangxi Normal University |
Zhixin Li; Guangxi Normal University |
Canlong Zhang; Guangxi Normal University |
Huifang Ma; Northwest Normal University |
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TEC-04.13: INPUT DROPOUT FOR SPATIALLY ALIGNED MODALITIES |
Sébastien de Blois; Université Laval |
Mathieu Garon; Université Laval |
Christian Gagné; Université Laval |
Jean-François Lalonde; Université Laval |
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TEC-04.14: SELF-SUPERVISED LEARNING OF DEPTH AND POSE USING CYCLE GENERATIVE ADVERSARIAL NETWORK |
Yunhe Tong; Peking University |
Anjie Wang; Peking University |
Songchao Tan; Peking University |
Shanshe Wang; Peking University |
Siwei Ma; Peking University |
Wen Gao; Peking University |
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TEC-04.15: WEAKLY-SUPERVISED DEFECT SEGMENTATION WITHIN VISUAL INSPECTION IMAGES OF LIQUID CRYSTAL DISPLAYS IN ARRAY PROCESS |
Fan Li; IBM |
Guoqiang Hu; IBM |
Shengnan Zhu; IBM |
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TEC-04.16: ATTENTION SELECTIVE NETWORK FOR FACE SYNTHESIS AND POSE-INVARIANT FACE RECOGNITION |
Jiashu Liao; University of Warwick |
Alex Kot; Nanyang Technological University |
Tanaya Guha; University of Warwick |
Victor Sanchez; University of Warwick |
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TEC-04.17: CONTINUAL LEARNING OF PREDICTIVE MODELS IN VIDEO SEQUENCES VIA VARIATIONAL AUTOENCODERS |
Damian Campo; University of Genova |
Giulia Slavic; University of Genova |
Mohamad Baydoun; University of Genova |
Lucio Marcenaro; University of Genova |
Carlo Regazzoni; University of Genova |
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TEC-04.18: CHANNEL--SPATIAL FUSION AWARE NET FOR ACCURATE AND FAST OBJECT DETECTION |
Linhuang Wu; Fuzhou University |
Xiujun Yang; Fuzhou University |
Zhenjia Fan; Fuzhou University |
Chunjun Wang; University of Chicago |
Zhifeng Chen; Fuzhou University |
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TEC-04.19: UNPRIORTIZED AUTOENCODER FOR IMAGE GENERATION |
Jaeyoung Yoo; Seoul National University |
Hojun Lee; Seoul National University |
Nojun Kwak; Seoul National University |
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TEC-04.20: FEATURE ENHANCEMENT AND FUSION FOR IMAGE-BASED PARTICLE MATTER ESTIMATION WITH F-MSE LOSS |
Xiaoyu Wang; Northwest University |
Lei Zhang; Northwest University |
Qirong Bo; Northwest University |
Jun Feng; Northwest University |
Jingzhao Hu; Northwest University |
Yuxin Kang; Northwest University |
Jing Zhang; Lamar University |
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TEC-04.21: DEEP MULTIMODAL SPARSE REPRESENTATION-BASED CLASSIFICATION |
Mahdi Abavisani; Rutgers University |
Vishal M. Patel; Johns Hopkins University |
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