Our paper 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
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
Our paper accepted to AAAI
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection ConsistencySeokju Lee, Sunghoon Im, Stephen Lin, In So KweonThe Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
Our paper accepted to NeurIPS Workshops
Instance-wise Depth and Motion Learning from Monocular VideosSeokju Lee, Sunghoon Im, Stephen Lin, In So KweonWorkshop on Machine Learning for Autonomous Driving (NeurIPS), 2020Workshop on Differentiable computer vision, graphics, and physics in machine learning (NeurIPS), 2020