WA.L2: Visual Tracking |
| Session Type: Lecture |
| Time: Wednesday, September 25, 10:30 - 12:18 |
| Location: Room 103 (1F) |
| Session Chair: Anthony Vetro, Mitsubishi Electric Research Laboratories |
| WA.L2.1: LIGHTWEIGHT DEEP NEURAL NETWORK FOR REAL-TIME VISUAL TRACKING WITH MUTUAL LEARNING |
| Haojie Zhao; Northeastern University |
| Gang Yang; Northeastern University |
| Dong Wang; Dalian University of Technology |
| Huchuan Lu; Dalian University of Technology |
| WA.L2.2: LEARNING TO REMEMBER PAST TO PREDICT FUTURE FOR VISUAL TRACKING |
| Sungyong Baik; Seoul National University |
| Junseok Kwon; Chung-Ang University |
| Kyoung Mu Lee; Seoul National University |
| WA.L2.3: A RANKING BASED ATTENTION APPROACH FOR VISUAL TRACKING |
| Shenhui Peng; Waseda University |
| Sei-ichiro Kamata; Waseda University |
| Toby Breckon; Durham University |
| WA.L2.4: LEARNING CASCADED SIAMESE NETWORKS FOR HIGH PERFORMANCE VISUAL TRACKING |
| Peng Gao; Harbin Institute of Technology |
| Yipeng Ma; Harbin Institute of Technology |
| Ruyue Yuan; Harbin Institute of Technology |
| Liyi Xiao; Harbin Institute of Technology |
| Fei Wang; Harbin Institute of Technology |
| WA.L2.5: HOW EFFECTIVELY CAN INDOOR WIRELESS POSITIONING RELIEVE VISUAL TRACKING PAINS: A CRAMER-RAO BOUND VIEWPOINT |
| Panwen Hu; Chinese University of Hong Kong, Shenzhen |
| Zizheng Yan; Chinese University of Hong Kong, Shenzhen |
| Rui Huang; Chinese University of Hong Kong, Shenzhen |
| Feng Yin; Chinese University of Hong Kong, Shenzhen |
| WA.L2.6: LEARNING HIERARCHICAL FEATURES FOR VISUAL OBJECT TRACKING WITH RECURSIVE NEURAL NETWORKS |
| Li Wang; Institute for Infocomm Research (I2R) |
| Ting Liu; Nanyang Technological University |
| Bing Wang; Nanyang Technological University |
| Jie Lin; Institute for Infocomm Research (I2R) |
| Xulei Yang; Institute for Infocomm Research (I2R) |
| Gang Wang; Nanyang Technological University |