2022 ECCV에서 서울대학교 논문이 12편 채택되었다. 공과대학에서는 컴퓨터공학부 이재욱 교수팀, 김건희 교수팀, 유승주 교수팀에서 각 1편이 채택되었으며, 전기정보공학부 문태섭 교수팀 1편, 이경무 교수팀, 한보형 교수팀, 조남익 교수팀에서 각 2편이 채택 되었다. 융합과학기술대학원에서는 곽노준 교수팀에서 2편이 채택되었다. 

2022 ECCV 채택 논문 

• L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training (Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀
  
• Panoramic Vision Transformer for Saliency Detection in 360◦ Videos (Heeseung Yun, Sehun Lee and Gunhee Kim) #김건희 교수팀 
  
• BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks (H. Kim, E. Park, S. Yoo) #유승주 교수팀 
  
• GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training (Jaeseok Byun, Taebaek Hwang, Jianlong Fu, and Taesup Moon) #문태섭 교수팀 
  
• CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution (Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee) #이경무 교수팀 
• 3D Clothed Human Reconstruction in the Wild (Gyeongsik Moon*, Hyeongjin Nam*, Takaaki Shiratori, and Kyoung Mu Lee) #이경무 교수팀 
• Towards Sequence-Level Training for Visual Tracking (Minji Kim*, Seungkwan Lee*, Jungseul Ok, Bohyung Han, and Minsu Cho) #한보형 교수팀 
• Learning Semantic Segmentation from Multiple Datasets with Label Shifts (Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, and Bohyung Han) #한보형 교수팀 
• Deep Hash Distillation for Image Retrieval (Young Kyun Jang, Geonmo Gu, Byungsoo Ko, Isaac Kang, Nam Ik Cho) #조남익 교수팀 
• DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation (Jaewoo Park, Nam Ik Cho) #조남익 교수팀
• Few-shot Image Generation with Mixup-based Distance Learning (Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak) #곽노준 교수팀 
  
• Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to the Bounding Box (Jayeon Yoo, Inseop Chung, Nojun Kwak) #곽노준 교수팀