Technical Program

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MLR-APPL-IVASR-6: Machine learning for image and video analysis, synthesis, and retrieval 6

Interactive Q&A Time: Wednesday, September 22, 08:00 - 09:30
Session Chair: Ngai-Man Cheung, Singapore University of Technology and Design
 
 MLR-APPL-IVASR-6.1: LIFELONG TWIN GENERATIVE ADVERSARIAL NETWORKS
         Fei Ye; University of York
         Adrian Bors; University of York
 
 MLR-APPL-IVASR-6.2: A NOVEL SENSITIVITY METRIC FOR MIXED-PRECISION QUANTIZATION WITH SYNTHETIC DATA GENERATION
         Donghyun Lee; Samsung Electronics
         Minkyoung Cho; Samsung Electronics
         Seungwon Lee; Samsung Electronics
         Joonho Song; Samsung Electronics
         Changkyu Choi; Samsung Electronics
 
 MLR-APPL-IVASR-6.3: K-HAIRSTYLE: A LARGE-SCALE KOREAN HAIRSTYLE DATASET FOR VIRTUAL HAIR EDITING AND HAIRSTYLE CLASSIFICATION
         Taewoo Kim; Korea Advanced Institute of Science and Technology
         Chaeyeon Chung; Korea Advanced Institute of Science and Technology
         Sunghyun Park; Korea Advanced Institute of Science and Technology
         Gyojung Gu; Nestyle
         Keonmin Nam; Nestyle
         Wonzo Choe; Brandi
         Jaesung Lee; Brandi
         Jaegul Choo; Korea Advanced Institute of Science and Technology
 
 MLR-APPL-IVASR-6.4: SILHOUETTE-BASED SYNTHETIC DATA GENERATION FOR 3D HUMAN POSE ESTIMATION WITH A SINGLE WRIST-MOUNTED 360° CAMERA
         Ryosuke Hori; Keio University
         Ryo Hachiuma; Keio University
         Hideo Saito; Keio University
         Mariko Isogawa; NTT
         Dan Mikami; NTT
 
 MLR-APPL-IVASR-6.5: TWO-STAGE SEAMLESS TEXT ERASING ON REAL-WORLD SCENE IMAGES
         Benjamin Conrad; University of Amsterdam
         Pei-I Chen; Jumio AI Labs
 
 MLR-APPL-IVASR-6.6: OPENING DEEP NEURAL NETWORKS WITH GENERATIVE MODELS
         Marcos Vendramini; Universidade Federal de Minas Gerais
         Hugo Oliveira; University of São Paulo
         Alexei Machado; Universidade Federal de Minas Gerais
         Jefersson dos Santos; Universidade Federal de Minas Gerais
 
 MLR-APPL-IVASR-6.7: GENERATING THERMAL HUMAN FACES FOR PHYSIOLOGICAL ASSESSMENT USING THERMAL SENSOR AUXILIARY LABELS
         Catherine Ordun; University of Maryland Baltimore County
         Edward Raff; Booz Allen Hamilton
         Sanjay Purushotham; University Maryland Baltimore County
 
 MLR-APPL-IVASR-6.8: HSEGAN: HAIR SYNTHESIS AND EDITING USING STRUCTURE-ADAPTIVE NORMALIZATION ON GENERATIVE ADVERSARIAL NETWORK
         Wanling Fan; Fudan University
         Jiayuan Fan; Fudan University
         Gang Yu; Tencent
         Bin Fu; Tencent
         Tao Chen; Fudan University
 
 MLR-APPL-IVASR-6.9: ENHANCE VIA DECOUPLING: IMPROVING MULTI-LABEL CLASSIFIERS WITH VARIATIONAL FEATURE AUGMENTATION
         Ming Chen; Tsinghua University
         Guijin Wang; Tsinghua University
         Jing-Hao Xue; University College London
         Zijian Ding; Tsinghua University
         Li Sun; Tsinghua University
 
MLR-APPL-IVASR-6.10: ON DATA AUGMENTATION FOR GAN TRAINING
         Ngoc-Trung Tran; Singapore University of Technology and Design (SUTD)
         Viet-Hung Tran; Singapore University of Technology and Design (SUTD)
         Ngoc-Bao Nguyen; Singapore University of Technology and Design (SUTD)
         Trung-Kien Nguyen; Singapore University of Technology and Design (SUTD)
         Ngai-Man Cheung; Singapore University of Technology and Design (SUTD)
 
 MLR-APPL-IVASR-6.11: SEMANTIC ROLE AWARE CORRELATION TRANSFORMER FOR TEXT TO VIDEO RETRIEVAL
         Burak Satar; Agency for Science, Technology and Research (A*STAR)
         Hongyuan Zhu; Agency for Science, Technology and Research (A*STAR)
         Xavier Bresson; Nanyang Technological University (NTU)
         Joo-Hwee Lim; Agency for Science, Technology and Research (A*STAR)
 
 MLR-APPL-IVASR-6.12: SOFT RANKING THRESHOLD LOSSES FOR IMAGE RETRIEVAL
         Chiao-An Yang; National Taiwan University
         Zhixiang Wang; National Taiwan University
         Yen-Yu Lin; National Chiao Tung University
         Yung-Yu Chuang; National Taiwan University