We have four papers accepted to IEEE/CVF International Conference on Computer Vision (ICCV) 2021. The papers are “Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation” by Hyeokjun Kweon*, Sung-Hoon Yoon*, Hyeonseong Kim, Daehee Park, and Kuk-Jin Yoon, “Dual Transfer Learning for Event-based End-task Prediction via Pluggable Image Translation” by Lin Wang, Yujeong Chae, and Kuk-Jin Yoon, “Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds” by Mohammad Mostafavi, Kuk-Jin Yoon, and Jonghyun Choi, and “Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation” by Haoang Li, Kai Chen, Kyungdon Joo, Pyojin Kim, Kuk-Jin Yoon, Zhe Liu, and Yunhui Liu.
