서울대학교가 컴퓨터비전 분야에서 최고의 권위를 자랑하는 유럽컴퓨터비전학회(European Conference on Computer Vision - ECCV) 2020에서 논문 17편을 발표해, 비전 분야에서 세계 최선두 수준의 연구수준을 재확인하였다. 

컴퓨터비전은 시각정보를 처리하는 인공지능 연구로 ECCV, CVPR(컴퓨터비전 및 패턴인식 학회), ICCV(국제컴퓨터비전학회)가 이 분야의 3대 학회로 꼽힌다. 

2020 ECCV에서는 김건희 교수, 이경무 교수, 한보형 교수팀에서 각 4편씩을 발표하였고, 곽노준 교수, 유승주 교수, 윤성로 교수 팀에서 각 1편, 산학협력을 통해 1편을 발표한다.

ECCV는 2년에 한번 열리며 2020년에는 8월 23일부터 28일까지 5일간 온라인으로 열린다.   

ECCV 2020

• (Oral) Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning (Jaekyeom Kim, Hyoungseok Harry Kim and Gunhee Kim) #김건희 #컴퓨터공학부
• (Spotlight)Character Grounding and Re-Identification in Story of Videos and Text Descriptions (Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung and Gunhee Kim) #김건희
• Imbalanced Continual Learning with Partitioning Reservoir Sampling (Chris Dongjoo Kim, Jinseo Jeong and Gunhee Kim) #김건희 
• Rethinking Class Activation Mapping for Weakly Supervised Object Localization (Junhyug Noh, Wonho Bae and Gunhee Kim) #김건희 
• SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation (John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak) #곽노준 #지능정보융합학과
• Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations (Sungheon Park, Minsik Lee, Nojun Kwak) #곽노준
• PROFIT: A Novel Training Method for sub-4-bit MobileNet Models (Eunhyeok Park, Sungjoo Yoo) #유승주 #전기정보공학부
• iCaps: An Interpretable Classifier via Disentangled Capsule Networks (Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon) #윤성로 #전기정보공학부
• InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image (Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee) #이경무 #전기정보공학부
• DeepHandMesh: Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling from a Single RGB Image (Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee) #이경무
• I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image (Gyeongsik Moon, Kyoung Mu Lee) #이경무
• Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from 2D Human Pose (Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee) #이경무
• Learning to Optimize Domain Specific Normalization for Domain Generalization (Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jong-Woo Han, Bohyung Han) #한보형 #전기정보공학부
• Task-Aware Quantization Network for JPEG Image Compression (Jinyoung Choi, Bohyung Han) #한보형
• Traffic Accident Analysis by Cause and Effect Events Localization (Tackgeun You, Bohyung Han) #한보형
• URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark (Seonguk Seo, Joon-Young Lee, and Bohyung Han) #한보형 
  
• Learning Visual Context by Comparison (Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo) #산학협력