2021 IEEE International Conference on Image Processing
19-22 September 2021 • Anchorage, Alaska, USA
Imaging Without Borders
All times are in Alaska local time (AKDT/UTC−08:00)
MLR-APPL-IVSMR-1: Machine learning for image and video sensing, modeling and representation 1 |
| Interactive Q&A Time: Tuesday, September 21, 13:30 - 15:00 |
| Session Chair: Arman Zharmagambetov, University of California |
| MLR-APPL-IVSMR-1.1: A SIMPLE, EFFECTIVE WAY TO IMPROVE NEURAL NET CLASSIFICATION: ENSEMBLING UNIT ACTIVATIONS WITH A SPARSE OBLIQUE DECISION TREE |
| Arman Zharmagambetov; University of California, Merced |
| Miguel Á. Carreira-Perpiñán; University of California, Merced |
| MLR-APPL-IVSMR-1.2: ADAPTIVE SIGNAL VARIANCES: CNN INITIALIZATION THROUGH MODERN ARCHITECTURES |
| Takahiko Henmi; Gunma University |
| Esmeraldo Ronnie Rey Zara; Gunma University |
| Yoshihiro Hirohashi; Individual |
| Tsuyoshi Kato; Gunma University |
| MLR-APPL-IVSMR-1.3: SPARSE AND STRUCTURED VISUAL ATTENTION |
| Pedro Henrique Martins; Instituto de Telecomunicações |
| Vlad Niculae; IvI, University of Amsterdam |
| Zita Marinho; Institute of Systems and Robotics / Priberam Labs |
| André F. T. Martins; Instituto de Telecomunicações / Unbabel |
| MLR-APPL-IVSMR-1.4: VVS: ACTION RECOGNITION WITH VIRTUAL VIEW SYNTHESIS |
| Gao Peng; Shanghai Jiao Tong University |
| Yong-Lu Li; Shanghai Jiao Tong University |
| Hao Zhu; Shanghai Jiao Tong University |
| Jiajun Tang; Shanghai Jiao Tong University |
| Jin Xia; Shanghai Jiao Tong University |
| Cewu Lu; Shanghai Jiao Tong University |
| MLR-APPL-IVSMR-1.5: MULTI-TASK DISTILLATION: TOWARDS MITIGATING THE NEGATIVE TRANSFER IN MULTI-TASK LEARNING |
| Ze Meng; Tsinghua University |
| Xin Yao; Tsinghua University |
| Lifeng Sun; Tsinghua University |
| MLR-APPL-IVSMR-1.6: U-NOISE: LEARNABLE NOISE MASKS FOR INTERPRETABLE IMAGE SEGMENTATION |
| Teddy Koker; OpenMined |
| Fatemehsadat Mireshghallah; University of California, San Diego |
| Tom Titcombe; OpenMined |
| Georgios Kaissis; Technical University of Munich |
| MLR-APPL-IVSMR-1.7: NATURAL STATISTICS OF NETWORK ACTIVATIONS AND IMPLICATIONS FOR KNOWLEDGE DISTILLATION |
| Michael Rotman; Tel-Aviv University |
| Lior Wolf; Tel-Aviv University |
| MLR-APPL-IVSMR-1.8: REGULARIZATION VIA DEEP GENERATIVE MODELS: AN ANALYSIS POINT OF VIEW |
| Thomas Oberlin; ISAE-SUPAERO |
| Mathieu Verm; ISAE-SUPAERO |
| MLR-APPL-IVSMR-1.9: GET TO THE POINT: CONTENT CLASSIFICATION OF ANIMATED GRAPHICS INTERCHANGE FORMATS WITH KEY-FRAME ATTENTION |
| Yongjuan Ma; Tianjin University |
| Yu Wang; Tianjin University |
| Pengfei Zhu; Tianjin University |
| Junwen Pan; Tianjin University |
| Hong Shi; Tianjin University |
| MLR-APPL-IVSMR-1.10: DIFFERENTIABLE DYNAMIC CHANNEL ASSOCIATION FOR KNOWLEDGE DISTILLATION |
| Qiankun Tang; Zhejiang Lab |
| Xiaogang Xu; Zhejiang Gongshang University |
| Jun Wang; Zhejiang Lab |
| MLR-APPL-IVSMR-1.11: THE MAXIMUM A POSTERIOR ESTIMATION OF DARTS |
| Jun-Liang Lin; Academia Sinica |
| Yi-Lin Sung; Academia Sinica |
| Cheng-Yao Hong; Academia Sinica |
| Han-Hung Lee; Academia Sinica |
| Tyng-Luh Liu; Academia Sinica |
| MLR-APPL-IVSMR-1.12: IMPROVED MULTICLASS ADABOOST FOR IMAGE CLASSIFICATION: THE ROLE OF TREE OPTIMIZATION |
| Arman Zharmagambetov; University of California, Merced |
| Magzhan Gabidolla; University of California, Merced |
| Miguel Á. Carreira-Perpiñán; University of California, Merced |