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 …
이승훈 통합과정, 최원혁 학부 연구생, 김창재 석사과정, 최민우 학위연계과정, 제 28회 삼성휴먼테크논문대상 Signal Processing 분과 장려상 수상
배진우 석사과정, 최민우 학위연계과정, 한국 도시 3차원 영상 데이터 인공지능 학습용 데이터 해커톤 우수상 수상
이승훈 통합과정, 제 13회 ICT논문 공모 대제전 우수상 수상https://www.etnews.com/20211216000031
CMSNet: Deep Color and Monochrome StereoHae-Gon Jeon, Sunghoon Im, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial HebertInternational Journal of Computer Vision (IJCV), Accepted
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip AttackDahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha KungBritish Machine Vision Conference (BMVC), 2021
임성훈 교수, DGIST 창립 17주년 최우수 학술상 수상
VolumeFusion: Deep Depth Fusion for 3D Scene ReconstructionJaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So KweonIEEE International Conference on Computer Vision (ICCV), 2021
