2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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MLR-APPL-IP-2: Machine learning for image processing 2

Session Type: Poster
Time: Monday, September 20, 15:30 - 17:00
Location: Area E
Session Chair: Fengqing Maggie Zhu, Purdue University
 
   MLR-APPL-IP-2.1: GRAPH AFFINITY NETWORK FOR FEW-SHOT SEGMENTATION
         Xiaoliu Luo; Chongqing University
         Taiping Zhang; Chongqing University
 
   MLR-APPL-IP-2.2: PIXEL-WISE FAILURE PREDICTION FOR SEMANTIC VIDEO SEGMENTATION
         Christopher Kuhn; BMW Group
         Markus Hofbauer; Technical University of Munich
         Ziqin Xu; Technical University of Munich
         Goran Petrovic; BMW Group
         Eckehard Steinbach; Technical University of Munich
 
   MLR-APPL-IP-2.3: SEMANTIC SEGMENTATION AND CHANGE DETECTION BY MULTI-TASK U-NET
         Shungo Tsutsui; Chubu University
         Tsubasa Hirakawa; Chubu University
         Takayoshi Yamashita; Chubu University
         Hironobu Fujiyoshi; Chubu University
 
   MLR-APPL-IP-2.4: SEMI-SUPERVISED MEDICAL IMAGE SEMANTIC SEGMENTATION WITH MULTI-SCALE GRAPH CUT LOSS
         Junxiao Sun; Southeast University
         Yan Zhang; Southeast University
         Jian Zhu; Shandong Academy of Medical Sciences
         Jiasong Wu; Southeast University
         Youyong Kong; Southeast University
 
   MLR-APPL-IP-2.5: LEARNING WITH MEMORY FOR FEW-SHOT SEMANTIC SEGMENTATION
         Hongchao Lu; Tsinghua University
         Chao Wei; Tsinghua University
         Zhidong Deng; Tsinghua university
 
   MLR-APPL-IP-2.6: LEARNING SKIP MAP FOR EFFICIENT ULTRA-HIGH RESOLUTION IMAGE SEGMENTATION
         Pengcheng Pi; Texas A&M University
         Ziyu Jiang; Texas A&M University
         Zixiang Xiong; Texas A&M University
 
   MLR-APPL-IP-2.7: PUZZLE-CAM: IMPROVED LOCALIZATION VIA MATCHING PARTIAL AND FULL FEATURES
         Sanghyun Jo; GYNetworks
         In-Jae Yu; Korea Advanced Institute of Science and Technology
 
   MLR-APPL-IP-2.8: SPARSE SPATIAL ATTENTION NETWORK FOR SEMANTIC SEGMENTATION
         Mengyu Liu; University of Manchester
         Hujun Yin; University of Manchester
 
   MLR-APPL-IP-2.9: SEMANTIC SEGMENTATION IN DEPTH DATA : A COMPARATIVE EVALUATION OF IMAGE AND POINT CLOUD BASED METHODS
         Jigyasa Singh Katrolia; German Research Centre for Artificial Intelligence
         Lars Kraemer; Technical University of Kaiserslautern
         Jason Rambach; German Research Centre for Artificial Intelligence
         Bruno Mirbach; German Research Centre for Artificial Intelligence
         Didier Stricker; German Research Centre for Artificial Intelligence
 
   MLR-APPL-IP-2.10: GENERALIZING FLOOR PLANS USING GRAPH NEURAL NETWORKS
         Christoffer Plovmand Simonsen; Aalborg University
         Frederik Myrup Thiesson; Aalborg University
         Mark Philip Philipsen; Aalborg University
         Thomas Baltzer Moeslund; Aalborg University
 
   MLR-APPL-IP-2.11: ROBUST TRACKING FOR MOTION BLUR VIA CONTEXT ENHANCEMENT
         Zhongjie Mao; Wuhan University
         Xi Chen; Wuhan University
         Yucheng Wang; Wuhan University
         Jia Yan; Wuhan University
 
   MLR-APPL-IP-2.12: TRACKING VISUAL OBJECT AS AN EXTENDED TARGET
         Liang Xu; Virginia Commonwealth University
         Ruixin Niu; Virginia Commonwealth University