Our paper has been accepted to TPAMI
A Large-scale Virtual Dataset and Egocentric Localization for Disaster Responses Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, and Martial Hebert IEEE Transactions on Pattern Analysis and Machine...
Jeonghoon’s paper has been accepted to CVPRw
ProFeat: Unsupervised Image Clustering via Progressive Feature RefinementJeonghoon Kim, Sunghoon Im, Sunghyun ChoCVPR workshop on Learning From Limited or Imperfect Data (CVPRw), 2021
Seunghun’s paper has been accepted to CVPR
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain AdaptationSeunghun Lee, Sunghyun Cho, Sunghoon ImIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Article : http://www.aitimes.com/news/articleView.html?idxno=139612
Best paper, Qualcomm Innovation Fellowship Korea 2020
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection ConsistencyBest paper, Qualcomm Innovation Fellowship Korea 2020
Silver Prize, 16th Samsung Electro-Mechanics Best Paper Awards
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency Silver Prize, 16th Samsung Electro-Mechanics Best Paper Awards