One paper has been accepted to BMVC

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

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 …

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 http://www.aitimes.com/news/articleView.html?idxno=139612

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 …

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

Our paper has been accepted to TPAMI

Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon,“Deep Depth from Uncalibrated Small Motion Clip“IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [PDF]