IVMSP-7: Machine Learning for Image Processing I |
Session Type: Poster |
Time: Wednesday, 9 June, 13:00 - 13:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: C.-C. Jay Kuo, University of Southern California |
IVMSP-7.1: SUPER-RESOLUTION AND INFECTION EDGE DETECTION CO-GUIDED LEARNING FOR COVID-19 CT SEGMENTATION |
Yu Sang; Liaoning Technical University |
Jinguang Sun; Liaoning Technical University |
Simiao Wang; Liaoning Technical University |
Heng Qi; Dalian University of Technology |
Keqiu Li; Tianjin University |
IVMSP-7.2: GATING FEATURE DENSE NETWORK FOR SINGLE ANISOTROPIC MR IMAGE SUPER-RESOLUTION |
Weidong He; Chongqing University |
Yangjinan Hu; Columbia University |
Lulu Wang; Chongqing University |
Zhongshi He; Chongqing University |
Jinglong Du; Chongqing Medical University |
IVMSP-7.3: ADAPTABLE ENSEMBLE DISTILLATION |
Yankai Wang; Fudan University |
Dawei Yang; Fudan University |
Wei Zhang; Fudan University |
Zhe Jiang; ARM Ltd. |
Wenqiang Zhang; Fudan University |
IVMSP-7.4: A SCALE INVARIANT MEASURE OF FLATNESS FOR DEEP NETWORK MINIMA |
Akshay Rangamani; Massachusetts Institute of Technology |
Nam Nguyen; IBM Research |
Abhishek Kumar; Google Brain |
Dzung Phan; IBM Research |
Sang Chin; Boston University |
Trac D. Tran; Johns Hopkins University |
IVMSP-7.5: MULTI-ORDER ADVERSARIAL REPRESENTATION LEARNING FOR COMPOSED QUERY IMAGE RETRIEVAL |
Zhixiao Fu; Zhejiang University |
Xinyuan Chen; East China Normal University |
Jianfeng Dong; Zhejiang Gongshang University |
Shouling Ji; Zhejiang University |
IVMSP-7.6: DEEP NEURAL NETWORKS WITH FLEXIBLE COMPLEXITY WHILE TRAINING BASED ON NEURAL ORDINARY DIFFERENTIAL EQUATIONS |
Zhengbo Luo; Waseda University |
Sei-ichiro Kamata; Waseda University |
Zitang Sun; Waseda University |
Weilian Zhou; Waseda University |