One paper has been accepted to ICCV
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
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 …
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
Our paper has been 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 has been 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 …
Three new members joined our group
Sungho Moon, Jinhwoi Kim and Kyumin Hwang joined our group. Welcome all! Sungho Moon joined our lab as an Combined BS/MS/PhD course, and Jinhwoi Kim and Kyumin Hwang joined our lab as an MS course.
Our paper has been accepted to ICRA
Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert,“Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions“IEEE International Conference on Robotics and Automation (ICRA), 2020