MP.PB: Neural and Deep Networks |
| Session Type: Poster |
| Time: Monday, September 23, 14:10 - 15:58 |
| Location: Room 101 (1F) - Poster Area B |
| Session Chair: Dong Tian, InterDigital |
| MP.PB.1: REINFORCING THE ROBUSTNESS OF A DEEP NEURAL NETWORK TO ADVERSARIAL EXAMPLES BY USING COLOR QUANTIZATION OF TRAINING IMAGE DATA |
| Shuntaro Miyazato; University of Tokyo |
| Xueting Wang; University of Tokyo |
| Toshihiko Yamasaki; University of Tokyo |
| Kiyoharu Aizawa; University of Tokyo |
| MP.PB.2: MULTI-LOSS-AWARE CHANNEL PRUNING OF DEEP NETWORKS |
| Yiming Hu; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Siyang Sun; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Jianquan Li; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Jiagang Zhu; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Xingang Wang; Institute of Automation, Chinese Academy of Sciences |
| Qingyi Gu; Institute of Automation, Chinese Academy of Sciences |
| MP.PB.3: DCT BASED INFORMATION-PRESERVING POOLING FOR DEEP NEURAL NETWORKS |
| Yuhao Xu; University of Tokyo |
| Hideki Nakayama; University of Tokyo |
| MP.PB.4: TRAINING ACCURATE BINARY NEURAL NETWORKS FROM SCRATCH |
| Joseph Bethge; Hasso Plattner Institute, University of Potsdam |
| Haojin Yang; Hasso Plattner Institute, University of Potsdam |
| Christoph Meinel; Hasso Plattner Institute, University of Potsdam |
| MP.PB.5: CREATING 3D BOUNDING BOX HYPOTHESES FROM DEEP NETWORK SCORE-MAPS |
| Lin Guo; Oklahoma State University |
| Guoliang Fan; Oklahoma State University |
| Weihua Sheng; Oklahoma State University |
| MP.PB.6: ADVERSARIAL NOISE LAYER: REGULARIZE NEURAL NETWORK BY ADDING NOISE |
| Zhonghui You; Peking University |
| Jinmian Ye; University of Electronic Science and Technology of China |
| Kunming Li; Australian National University |
| Zenglin Xu; University of Electronic Science and Technology of China |
| Ping Wang; Peking University |
| MP.PB.7: CLUSTER REGULARIZED QUANTIZATION FOR DEEP NETWORKS COMPRESSION |
| Yiming Hu; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Jianquan Li; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Xianlei Long; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Shenhua Hu; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Jiagang Zhu; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences |
| Xingang Wang; Institute of Automation, Chinese Academy of Sciences |
| Qingyi Gu; Institute of Automation, Chinese Academy of Sciences |
| MP.PB.8: NEURAL NETWORK MAXIMIZING ORDINALLY SUPERVISED MULTI-VIEW CANONICAL CORRELATION FOR DETERIORATION LEVEL ESTIMATION |
| Keisuke Maeda; Hokkaido University |
| Sho Takahashi; Hokkaido University |
| Takahiro Ogawa; Hokkaido University |
| Miki Haseyama; Hokkaido University |