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)
SS-EDNN: Special Session: Explainable Deep Neural Networks for Image/Video Processing |
| Paper Presentations and Interactive Q&A Time: Wednesday, September 22, 14:30 - 16:00 |
| Session Chairs: Arash Mohammadi, Concordia Univ, Yong Man Ro, and Konstantinos Plataniotis, University of Toronto |
| SS-EDNN.1: X3SEG: MODEL-AGNOSTIC EXPLANATIONS FOR THE SEMANTIC SEGMENTATION OF 3D POINT CLOUDS WITH PROTOTYPES AND CRITICISM |
| Nina Felicitas Heide; Fraunhofer IOSB |
| Erik Müller; Fraunhofer IOSB |
| Janko Petereit; Fraunhofer IOSB |
| Michael Heizmann; Karlsruhe Institute of Technology |
| SS-EDNN.2: EXPLAINING DEEP MODELS THROUGH FORGETTABLE LEARNING DYNAMICS |
| Ryan Benkert; Georgia Institute of Technology |
| Oluwaseun Joseph Aribido; Georgia Institute of Technology |
| Ghassan AlRegib; Georgia Institute of Technology |
| SS-EDNN.3: EXTRACTING CAUSAL VISUAL FEATURES FOR LIMITED LABEL CLASSIFICATION |
| Mohit Prabhushankar; Georgia Institute Of Technology |
| Ghassan AlRegib; Georgia Institute Of Technology |
| SS-EDNN.4: CLASS SPECIFIC INTERPRETABILITY IN CNN USING CAUSAL ANALYSIS |
| Ankit Yadu; Samsung Research Institute India, Bangalore |
| Suhas P K; Samsung Research Institute India, Bangalore |
| Neelam Sinha; International Institute of Information Technology, Bangalore |
| SS-EDNN.5: UNDERSTANDING AND MANIPULATING NEURAL NET FEATURES USING SPARSE OBLIQUE CLASSIFICATION TREES |
| Suryabhan Singh Hada; University of California, Merced |
| Miguel Á. Carreira-Perpiñán; University of California, Merced |
| Arman Zharmagambetov; University of California, Merced |
| SS-EDNN.6: SAMPLING THE "INVERSE SET" OF A NEURON |
| Suryabhan Singh Hada; University of California, Merced |
| Miguel Á. Carreira-Perpiñán; University of California, Merced |
| SS-EDNN.7: EXPLAINERS IN THE WILD: MAKING SURROGATE EXPLAINERS ROBUST TO DISTORTIONS THROUGH PERCEPTION |
| Alexander Hepburn; University of Bristol |
| Raul Santos-Rodriguez; University of Bristol |