Jungwan Woo and Jaeyeul Kim’s paper “LiDAR 3D Object Detection Domain Adaptation using Self-Training and Knowledge Distillation” was selected as the winner of an Asian Federation of Computer Vision (AFCV) …
Deep Digging into the Generalization of Self-supervised Monocular Depth EstimationJinwoo Bae, Sungho Moon, Sunghoon ImAssociation for the Advancement of Artificial Intelligence (AAAI), 2023
우정완, 김재열, 김정훈 박사과정, 국토교통부 주관 “안전한 자율주행을 위한 인공지능 알고리즘 개발 챌린지 (ADAI: Autonomous Driving A.I. challenge)” 우수상 수상
ProFeat: Unsupervised Image Clustering via Progressive Feature RefinementJeonghoon Kim, Sunghoon Im, Sunghyun ChoPattern Recognition Letters (PRL), 2022
LiDAR 3D Object Detection via Self-Training and Knowledge DistillationJungwan Woo*, Jaeyeul Kim*, Sunghoon ImECCV workshop on 3D Perception for Autonomous Driving (ECCVw), Oct 2022
Changjae Kim will join Qualcomm korea as a computer vision and machine learning R&D intern.
Facial Depth and Normal Estimation using Single Dual-Pixel CameraMinjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon and Kuk-Jin YoonEuropean Conference on Computer Vision (ECCV), Oct …
RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion FeaturesJaeyeul Kim*, Jungwan Woo*, Sunghoon ImIEEE Robotics and Automation Letters (RAL), Accepted– This paper will be presented at IEEE/RSJ International …
Self-supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to RescueSeokju Lee, Francois Rameau, Sunghoon Im, In So KweonInternational Journal of Computer Vision (IJCV), Accepted
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic SegmentationSeunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon ImIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Article …
