ARS-09: Explainable Machine Learning for Computer Vision |
| Interactive Q&A Time: Tuesday, 27 October, 14:30 - 14:55 |
| Virtual Session: View on Virtual Platform |
| Session Chair: Gene Cheung, York University |
| ARS-09.1: HRINET: ALTERNATIVE SUPERVISION NETWORK FOR HIGH-RESOLUTION CT IMAGE INTERPOLATION |
| Jiawei Li; University of Ottawa |
| Jae Chul Koh; the Korea University Anam Hospital |
| Won-Sook Lee; University of Ottawa |
| ARS-09.2: INTERPRETABLE SYNTHETIC REDUCED NEAREST NEIGHBOR: AN EXPECTATION MAXIMIZATION APPROACH |
| Pooya Tavallali; University of California, Merced |
| Peyman Tavallali; Independet Researcher |
| Mohammad Reza Khosravi; Shiraz University of Technology |
| Mukesh Singhal; University of California, Merced |
| ARS-09.3: AIM-NET: BRING IMPLICIT EULER TO NETWORK DESIGN |
| Qiongwen Yuan; Wuhan University |
| Jingwei He; Wuhan University |
| Lei Yu; Wuhan University |
| Gang Zheng; INRIA Lille |
| ARS-09.4: MULTI-SCALE EXPLAINABLE FEATURE LEARNING FOR PATHOLOGICAL IMAGE ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS |
| Kazuki Uehara; National Institute of Advanced Industrial Science and Technology (AIST) |
| Masahiro Murakawa; National Institute of Advanced Industrial Science and Technology (AIST) |
| Hirokazu Nosato; National Institute of Advanced Industrial Science and Technology (AIST) |
| Hidenori Sakanashi; National Institute of Advanced Industrial Science and Technology (AIST) |
| ARS-09.5: SALIENCY-DRIVEN CLASS IMPRESSIONS FOR FEATURE VISUALIZATION OF DEEP NEURAL NETWORKS |
| Sravanti Addepalli; Indian Institute of Science |
| Dipesh Tamboli; Indian Institute of Technology Bombay |
| Venkatesh Babu Radhakrishnan; Indian Institute of Science |
| Biplab Banerjee; Indian Institute of Technology Bombay |
| ARS-09.6: VARIATIONAL ENCODER-BASED RELIABLE CLASSIFICATION |
| Chitresh Bhushan; GE Research |
| Zhaoyuan Yang; GE Research |
| Nurali Virani; GE Research |
| Naresh Iyer; GE Research |
| ARS-09.7: HOUGHENCODER: NEURAL NETWORK ARCHITECTURE FOR DOCUMENT IMAGE SEMANTIC SEGMENTATION |
| Alexander Sheshkus; Smart Engines Service LLC |
| Dmitry Nikolaev; Institute for Information Transmission Problems (Kharkevich Institute) Russian Academy of Sciences |
| Vladimir L Arlazarov; Federal Research Center “Computer Science and Control” of Russian Academy of Sciences |