IVMSP-P9: Image/Video Analysis III |
| Session Type: Poster |
| Time: Thursday, 7 May, 09:00 - 11:00 |
| Location: On-Demand |
| Virtual Session: View on Virtual Platform |
| Session Chair: Yannick Berthoumieu, University of Bordeaux |
| IVMSP-P9.1: CS-R-FCN: CROSS-SUPERVISED LEARNING FOR LARGE-SCALE OBJECT DETECTION |
| Ye Guo; Tsinghua University |
| Yali Li; Tsinghua University |
| Shengjin Wang; Tsinghua University |
| IVMSP-P9.2: DILATED CONVOLUTIONAL NEURAL NETWORKS FOR PANORAMIC IMAGE SALIENCY PREDICTION |
| Feng Dai; Institute of Computing Technology, Chinese Academy of Sciences |
| Youqiang Zhang; Institute of Computing Technology, Chinese Academy of Sciences |
| Yike Ma; Institute of Computing Technology, Chinese Academy of Sciences |
| Hongliang Li; University of Chinese Academy of Sciences |
| Qiang Zhao; Institute of Computing Technology, Chinese Academy of Sciences |
| IVMSP-P9.3: FINE-GRAINED ACTION RECOGNITION ON A NOVEL BASKETBALL DATASET |
| Xiaofan Gu; East China Normal University |
| Xinwei Xue; East China Normal University |
| Feng Wang; East China Normal University |
| IVMSP-P9.4: ATTENTION GUIDED REGION DIVISION FOR CROWD COUNTING |
| Xiaoqi Pan; Beihang University |
| Hong Mo; Beihang University |
| Zhong Zhou; Beihang University |
| Wei Wu; Beihang University |
| IVMSP-P9.5: SUPERPIXEL SEGMENTATION VIA CONVOLUTIONAL NEURAL NETWORKS WITH REGULARIZED INFORMATION MAXIMIZATION |
| Teppei Suzuki; DENSO IT Laboratory, Inc. |
| IVMSP-P9.6: STACKED POOLING FOR BOOSTING SCALE INVARIANCE OF CROWD COUNTING |
| Siyu Huang; Baidu Research |
| Xi Li; Zhejiang University |
| Zhi-Qi Cheng; Carnegie Mellon University |
| Zhongfei Zhang; State University of New York at Binghamton |
| Alexander Hauptmann; Carnegie Mellon University |
| IVMSP-P9.7: GFNET: A LIGHTWEIGHT GROUP FRAME NETWORK FOR EFFICIENT HUMAN ACTION RECOGNITION |
| Hong Liu; Peking University Shenzhen Graduate School |
| Linlin Zhang; Peking University Shenzhen Graduate School |
| Lisi Guan; Peking University Shenzhen Graduate School |
| Mengyuan Liu; Tencent AI Lab |
| IVMSP-P9.8: ROIMIX: PROPOSAL-FUSION AMONG MULTIPLE IMAGES FOR UNDERWATER OBJECT DETECTION |
| Wei-Hong Lin; Peking University Shenzhen Graduate School |
| Jia-Xing Zhong; Peking University Shenzhen Graduate School |
| Shan Liu; Tencent America |
| Thomas H. Li; Peking University |
| Ge Li; Peking University Shenzhen Graduate School |
| IVMSP-P9.9: TREE OF SHAPES CUT FOR MATERIAL SEGMENTATION GUIDED BY A DESIGN |
| Julien Baderot; Univ. Grenoble Alpes, CNRS, Grenoble INP |
| Michel Desvignes; Univ. Grenoble Alpes, CNRS, Grenoble INP |
| Laurent Condat; Univ. Grenoble Alpes, CNRS, Grenoble INP |
| Mauro Dalla Mura; Univ. Grenoble Alpes, CNRS, Grenoble INP |
| IVMSP-P9.10: DEEP FLOW COLLABORATIVE NETWORK FOR ONLINE VISUAL TRACKING |
| Peidong Liu; Tsinghua University |
| Xiyu Yan; Tsinghua University |
| Yong Jiang; Tsinghua University |
| Shu-Tao Xia; Tsinghua University |
| IVMSP-P9.11: SALIENT OBJECT DETECTION BASED ON IMAGE BIT-MAP |
| Bangqi Cao; University of Electronic Science and Technology of China |
| Xiandong Meng; Hong Kong University of Science and Technology |
| Shuyuan Zhu; University of Electronic Science and Technology of China |
| Bing Zeng; University of Electronic Science and Technology of China |
| IVMSP-P9.12: A NOVEL SALIENCY-DRIVEN OIL TANK DETECTION METHOD FOR SYNTHETIC APERTURE RADAR IMAGES |
| Libao Zhang; Beijing Normal University |
| Congyang Liu; Beijing Normal University |