All times are in Alaska local time (AKDT/UTC−08:00)
MLR-APPL-IP-3: Machine learning for image processing 3 |
| Interactive Q&A Time: Tuesday, September 21, 08:00 - 09:30 |
| Session Chair: Xin Ding, UBC |
| MLR-APPL-IP-3.1: HIERARCHICAL REGION PROPOSAL REFINEMENT NETWORK FOR WEAKLY SUPERVISED OBJECT DETECTION |
| Ming Zhang; University of Electronic Science and Technology of China |
| Shuaicheng Liu; University of Electronic Science and Technology of China |
| Bing Zeng; University of Electronic Science and Technology of China |
| MLR-APPL-IP-3.2: DEEP SENSOR FUSION BASED ON FRUSTUM POINT SINGLE SHOT MULTIBOX DETECTOR FOR 3D OBJECT DETECTION |
| Yu Wang; Harbin Institute of Technology |
| Ye Zhang; Harbin Institute of Technology |
| Shaohua Zhai; Harbin Institute of Technology |
| Hao Chen; Harbin Institute of Technology |
| Shaoqi Shi; Harbin Institute of Technology |
| Gang Wang; Alibaba Group |
| MLR-APPL-IP-3.3: MULTI-SCALE GRAPH CONVOLUTIONAL INTERACTION NETWORK FOR SALIENT OBJECT DETECTION |
| Wenqi Che; Shanghai University |
| Luoyi Sun; Shanghai University |
| Zhifeng Xie; Shanghai University |
| Youdong Ding; Shanghai University |
| Kaili Han; Shanghai University |
| MLR-APPL-IP-3.4: MULTISCALE IOU: A METRIC FOR EVALUATION OF SALIENT OBJECT DETECTION WITH FINE STRUCTURES |
| Azim Ahmadzadeh; Georgia State University |
| Dustin J. Kempton; Georgia State University |
| Yang Chen; Georgia State University |
| Rafal A. Angryk; Georgia State University |
| MLR-APPL-IP-3.5: SGE NET: VIDEO OBJECT DETECTION WITH SQUEEZED GRU AND INFORMATION ENTROPY MAP |
| Rui Su; Waseda University |
| Wenjing Huang; Waseda University |
| Haoyu Ma; University of California, Irvine |
| Xiaowei Song; Southeast University |
| Jinglu Hu; Waseda University |
| MLR-APPL-IP-3.6: PROVABLE TRANSLATIONAL ROBUSTNESS FOR OBJECT DETECTION WITH CONVOLUTIONAL NEURAL NETWORKS |
| Axel Vierling; Technische Universität Kaiserslautern |
| Charu James; Technische Universität Kaiserslautern |
| Nikoletta Katsaouni; Goethe University Frankfurt am Main |
| Karsten Berns; Technische Universität Kaiserslautern |
| MLR-APPL-IP-3.7: EFFECTIVE FEATURE FUSION NETWORK IN BIFPN FOR SMALL OBJECT DETECTION |
| Jun Chen; China University of Geosciences, Wuhan |
| HongSheng Mai; China University of Geosciences, Wuhan |
| Linbo Luo; China University of Geosciences, Wuhan |
| Xiaoqiang Chen; China University of Geosciences, Wuhan |
| Kangle Wu; China University of Geosciences, Wuhan |
| MLR-APPL-IP-3.8: OBJECT DETECTION AND AUTOENCODER-BASED 6D POSE ESTIMATION FOR HIGHLY CLUTTERED BIN PICKING |
| Timon Höfer; University of Tuebingen |
| Faranak Shamsafar; University of Tuebingen |
| Nuri Benbarka; University of Tuebingen |
| Andreas Zell; University of Tuebingen |
| MLR-APPL-IP-3.9: HUMAN VISION-LIKE ROBUST OBJECT RECOGNITION |
| Peng Kang; Northwestern University |
| Hao Hu; University of British Columbia |
| Srutarshi Banerjee; Northwestern University |
| Henry Chopp; Northwestern University |
| Aggelos K. Katsaggelos; Northwestern University |
| Oliver Cossairt; Northwestern University |
| MLR-APPL-IP-3.10: TRAINING AN EMBEDDED OBJECT DETECTOR FOR INDUSTRIAL SETTINGS WITHOUT REAL IMAGES |
| Julia Cohen; Université Lyon 2 - LIRIS (CNRS) |
| Carlos Crispim-Junior; Université Lyon 2 - LIRIS (CNRS) |
| Jean-Marc Chiappa; DEMS |
| Laure Tougne; Université Lyon 2 - LIRIS (CNRS) |
| MLR-APPL-IP-3.11: SEMI-SUPERVISED OBJECT DETECTION WITH SPARSELY ANNOTATED DATASET |
| Jihun Yoon; hutom |
| Seungbum Hong; hutom |
| Min-Kook Choi; hutom |
| MLR-APPL-IP-3.12: PSEUDO-LABEL GENERATION-EVALUATION FRAMEWORK FOR CROSS DOMAIN WEAKLY SUPERVISED OBJECT DETECTION |
| Shengxiong Ouyang; Zhejiang University |
| Xinglu Wang; Zhejiang University |
| Kejie Lyu; Zhejiang University |
| Yingming Li; Zhejiang University |
| MLR-APPL-IP-3.13: BOTTOM-UP SALIENCY MEETS TOP-DOWN SEMANTICS FOR OBJECT DETECTION |
| Tomoya Sawada; Mitsubishi Electric Corporation |
| Teng-Yok Lee; Mitsubishi Electric Corporation |
| Masahiro Mizuno; Mitsubishi Electric Corporation |