AIIS researchers' papers were accepted at CVPR 2020 as below. 

CVPR 2020

• Hypergraph Attention Networks for Multimodal Learning (Eun-Sol Kim, Woo Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수
• Generalized Product Quantization Network for Semi-Supervised Image Retrieval (Young Kyun Jang, Nam Ik Cho) #조남익 교수 
• Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho) #조남익 교수 
• Meta-Transfer Learning for Zero-Shot Super-Resolution (Jae Woong Soh, Sunwoo Cho, Nam Ik Cho) #조남익 교수
• Separating Particulate Matter From a Single Microscopic Image (Tushar Sandhan, Jin Young Choi) #최진영 교수 
• Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization (Saehyung Lee, Hyungyu Lee, Sungroh Yoon) #윤성로 교수
• Learning to Forget for Meta-Learning (Sungyong Baik, Seokil Hong, Kyoung Mu Lee) #이경무 교수

CVPR 2020 Workshop

• StackNet: Stacking Parameters for Continual learning (Jangho Kim, Jeesoo Kim, Nojun Kwak) #곽노준 교수
• LSQ+: Improving low-bit quantization through learnable offsets and better initialization (Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak) #곽노준 교수
• iCaps: An Interpretable Classifier via Disentangled Capsule Networks (Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon) #윤성로 교수