Technical Program

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ARS-2: Image and Video Segmentation

Interactive Q&A Time: Monday, September 20, 15:30 - 17:00
Session Chair: Fatih Porikli, Australian National University
 
 ARS-2.1: META-LEARNED FEATURE CRITICS FOR DOMAIN GENERALIZED SEMANTIC SEGMENTATION
         Zu-Yun Shiau; National Taiwan University
         Wei-Wei Lin; National Taiwan University
         Ci-Siang Lin; National Taiwan University
         Yu-Chiang Frank Wang; National Taiwan University
 
 ARS-2.2: SELF-GUIDED ADVERSARIAL LEARNING FOR DOMAIN ADAPTIVE SEMANTIC SEGMENTATION
         Yu-Ting Pang; National Tsing Hua University
         Jui Chang; National Tsing Hua University
         Chiou-Ting Hsu; National Tsing Hua University
 
 ARS-2.3: TEMPORAL MEMORY ATTENTION FOR VIDEO SEMANTIC SEGMENTATION
         Hao Wang; Institute of Automation, Chinese Academy of Sciences
         Weining Wang; Institute of Automation, Chinese Academy of Sciences
         Jing Liu; Institute of Automation, Chinese Academy of Sciences
 
 ARS-2.4: SPACEMESHLAB: SPATIAL CONTEXT MEMOIZATION AND MESHGRID ATROUS CONVOLUTION CONSENSUS FOR SEMANTIC SEGMENTATION
         Taehun Kim; Pohang University of Science and Technology
         Jinseong Kim; Pohang University of Science and Technology
         Daijin Kim; Pohang University of Science and Technology
 
 ARS-2.5: COMPLEXMIX: SEMI-SUPERVISED SEMANTIC SEGMENTATION VIA MASK-BASED DATA AUGMENTATION
         Ying Chen; Illinois Institute of Technology
         Xu Ouyang; Illinois Institute of Technology
         Kaiyue Zhu; Illinois Institute of Technology
         Gady Agam; Illinois Institute of Technology
 
 ARS-2.6: DYNAMIC DUAL SAMPLING MODULE FOR FINE-GRAINED SEMANTIC SEGMENTATION
         Chen Shi; Shanghai Jiao Tong University
         Xiangtai Li; Peking University
         Yanran Wu; Shanghai Jiao Tong University
         Yunhai Tong; Peking University
         Yi Xu; Shanghai Jiao Tong University
 
 ARS-2.7: LEARNING OR MODELLING? AN ANALYSIS OF SINGLE IMAGE SEGMENTATION BASED ON SCRIBBLE INFORMATION
         Hannah Dröge; University of Siegen
         Michael Moeller; University of Siegen
 
 ARS-2.8: ATTENTION TOWARD NEIGHBORS: A CONTEXT AWARE FRAMEWORK FOR HIGH RESOLUTION IMAGE SEGMENTATION
         Fahim Faisal Niloy; AGenCy Lab, Independent University Bangladesh
         M. Ashraful Amin; AGenCy Lab, Independent University Bangladesh
         Amin Ahsan Ali; AGenCy Lab, Independent University Bangladesh
         AKM Mahbubur Rahman; AGenCy Lab, Independent University Bangladesh
 
 ARS-2.9: INTERACTIVE OBJECT SEGMENTATION WITH DYNAMIC CLICK TRANSFORM
         Chun-Tse Lin; National Taiwan University
         Wei-Chih Tu; National Taiwan University
         Chih-Ting Liu; National Taiwan University
         Shao-Yi Chien; National Taiwan University
 
 ARS-2.10: CMF: CASCADED MULTI-MODEL FUSION FOR REFERRING IMAGE SEGMENTATION
         Jianhua Yang; Beijing University of Posts and Telecommunications
         Yan Huang; Institute of Automation, Chinese Academy of Sciences
         Zhanyu Ma; Beijing University of Posts and Telecommunications
         Liang Wang; Institute of Automation, Chinese Academy of Sciences
 
ARS-2.11: LEARNING EVENT REPRESENTATIONS FOR TEMPORAL SEGMENTATION OF IMAGE SEQUENCES BY DYNAMIC GRAPH EMBEDDING
         Mariella Dimiccoli; Institut de Robòtica i Informàtica Industrial (CSIC-UPC)
         Herwig Wendt; University of Toulouse
 
 ARS-2.12: MPASNET: MOTION PRIOR-AWARE SIAMESE NETWORK FOR UNSUPERVISED DEEP CROWD SEGMENTATION IN VIDEO SCENES
         Jinhai Yang; Shanghai Jiao Tong University
         Hua Yang; Shanghai Jiao Tong University