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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
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Best paper, Qualcomm Innovation Fellowship Korea 2020

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection ConsistencyBest paper, Qualcomm Innovation Fellowship Korea 2020
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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
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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
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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
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