TEC-05: Machine Learning for Image and Video Processing III |
Interactive Q&A Time: Monday, 26 October, 19:30 - 20:25 |
Virtual Session: View on Virtual Platform |
Session Chair: YU LIU, Tianjin University
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TEC-05.1: A SIAMESE NETWORK UTILIZING IMAGE STRUCTURAL DIFFERENCES FOR CROSS-CATEGORY DEFECT DETECTION |
Chenhui Luan; Beijing Institute of Technology |
Ruyao Cui; Beijing Institute of Technology |
Lei Sun; Beijing Institute of Technology |
Zhiping Lin; Nanyang Technological University |
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TEC-05.2: CHROMA INTRA PREDICTION WITH ATTENTION-BASED CNN ARCHITECTURES |
Marc Gorriz Blanch; British Broadcasting Corporation |
Saverio Blasi; British Broadcasting Corporation |
Alan Smeaton; Dublin City University |
Noel E. O'Connor; Dublin City University |
Marta Mrak; British Broadcasting Corporation |
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TEC-05.3: ART2CONTOUR: SALIENT CONTOUR DETECTION IN ARTWORKS USING GENERATIVE ADVERSARIAL NETWORKS |
Aline Sindel; Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
Andreas Maier; Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
Vincent Christlein; Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
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TEC-05.4: PREDICTIVE CODING NETWORKS MEET ACTION RECOGNITION |
Xia Huang; SUTD university |
Hossein Mousavi; SUTD university |
Gemma Roig; Goethe University of Frankfurt am Main, Frankfurt am Main, Germany |
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TEC-05.5: INTERPRETING CNN FOR LOW COMPLEXITY LEARNED SUB-PIXEL MOTION COMPENSATION IN VIDEO CODING |
Luka Murn; British Broadcasting Company |
Saverio Blasi; British Broadcasting Company |
Alan F. Smeaton; Dublin City University |
Noel E. O'Connor; Dublin City University |
Marta Mrak; British Broadcasting Company |
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TEC-05.6: BOUNDARY OF DISTRIBUTION SUPPORT GENERATOR (BDSG): SAMPLE GENERATION ON THE BOUNDARY |
Nikolaos Dionelis; University of Edinburgh, Edinburgh, UK |
Mehrdad Yaghoobi; University of Edinburgh, Edinburgh, UK |
Sotirios Tsaftaris; University of Edinburgh, Edinburgh, UK |
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TEC-05.7: TRIPLET DISTILLATION FOR DEEP FACE RECOGNITION |
Yushu Feng; Zhejiang University |
Huan Wang; Zhejiang University |
Haoji Hu; Zhejiang University |
Lu Yu; Zhejiang University |
Wei Wang; Chongqing University of Posts and Telecommunications |
Shiyan Wang; Chongqing University of Posts and Telecommunications |
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TEC-05.8: SINGLE ARCHITECTURE AND MULTIPLE TASK DEEP NEURAL NETWORK FOR ALTERED FINGERPRINT ANALYSIS |
Oliver Giudice; University of Catania |
Mattia Litrico; University of Catania |
Sebastiano Battiato; University of Catania |
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TEC-05.9: CORNET: COMPOSITE-REGULARIZED NEURAL NETWORK FOR CONVOLUTIONAL SPARSE CODING |
Dhruv Jawali; Indian Institute of Science |
Praveen Kumar Pokala; Indian Institute of Science |
Chandra Sekhar Seelamantula; Indian Institute of Science |
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TEC-05.10: FAKE VIDEO DETECTION WITH CERTAINTY-BASED ATTENTION NETWORK |
Dae Hwi Choi; Korea Advanced Institute of Science and Technology (KAIST) |
Hong Joo Lee; Korea Advanced Institute of Science and Technology (KAIST) |
Sangmin Lee; Korea Advanced Institute of Science and Technology (KAIST) |
Jung Uk Kim; Korea Advanced Institute of Science and Technology (KAIST) |
Yong Man Ro; Korea Advanced Institute of Science and Technology (KAIST) |
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TEC-05.11: SEGMENTING UNSEEN INDUSTRIAL COMPONENTS IN A HEAVY CLUTTER USING RGB-D FUSION AND SYNTHETIC DATA |
Seunghyeok Back; Gwangju Institute of Science and Techonology (GIST) |
Jongwon Kim; Gwangju Institute of Science and Techonology (GIST) |
Raeyoung Kang; Gwangju Institute of Science and Techonology (GIST) |
Seungjun Choi; Gwangju Institute of Science and Techonology (GIST) |
Kyoobin Lee; Gwangju Institute of Science and Techonology (GIST) |
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TEC-05.12: DATA AUGMENTATION USING ARTIFICIAL IMMUNE SYSTEMS FOR NOISE-ROBUST CNN MODELS |
Mark Ofori-Oduro; Concordia University |
Maria Amer; Concordia University |
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TEC-05.13: CONVOLUTIONAL ATTENTION MODEL FOR RESTAURANT RECOMMENDATION WITH MULTI-VIEW VISUAL FEATURES |
Haihua Luo; Shenzhen University |
Xiaoyan Zhang; Shenzhen University |
Guibing Guo; Northeastern University of China |
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TEC-05.14: ROBUST STRUCTURED DICTIONARY LEARNING FOR BLOCK SPARSE REPRESENTATIONS USING ALPHA-DIVERGENCE |
Abd-Krim Seghouane; University of Melbourne |
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TEC-05.15: BIOLOGICALLY INSPIRED HEXAGONAL DEEP LEARNING FOR HEXAGONAL IMAGE GENERATION |
Tobias Schlosser; Chemnitz University of Technology |
Frederik Beuth; Chemnitz University of Technology |
Danny Kowerko; Chemnitz University of Technology |
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TEC-05.16: MASKPAN: MASK PRIOR GUIDED NETWORK FOR PANSHARPENING |
Xue Rui; University of Science and Technology of China |
Yang Cao; University of Science and Technology of China |
Yu Kang; University of Science and Technology of China |
Weiguo Song; University of Science and Technology of China |
Rui Ba; University of Science and Technology of China |
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TEC-05.17: JITTER-ROBUST VIDEO RETARGETING WITH KALMAN FILTER AND ATTENTION SALIENCY FUSION NETWORK |
Hyunwoo Nam; Samsung Electronics |
Dubok Park; Samsung Electronics |
Kangwon Jeon; Samsung Electronics |
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TEC-05.18: LEGENDRE BASED ADAPTIVE IMAGE SEGMENTATION COMBINING THE GRADIENT INFORMATION |
Jiajie Zhu; ChongQing University |
Bin Fang; ChongQing University |
Mingliang Zhou; ChongQing University |
Hengjun Zhao; Chongqing University of Arts and Sciences |
Futing Luo; ChongQing University |
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TEC-05.19: JOINT IMAGE SUPER-RESOLUTION VIA RECURRENT CONVOLUTIONAL NEURAL NETWORKS WITH COUPLED SPARSE PRIORS |
Iman Marivani; Vrije Universiteit Brussel-imec |
Evaggelia Tsiligianni; Vrije Universiteit Brussel-imec |
Bruno Cornelis; Vrije Universiteit Brussel-imec |
Nikos Deligiannis; Vrije Universiteit Brussel-imec |
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