publication

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
publication

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 in machine learning (NeurIPS), 2020
welcome!

Three new members joined our group

Sungho MoonJinhwoi KimKyumin Hwang 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.
publication

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
conference

Attend ICCV (International Conference on Computer Vision) 2019 Seoul, Korea

After ICCV Oral Session on Oct. 31 From October 27th to November 2nd, DGIST Computer Vision Lab. members attended the ICCV (International conference on Computer Vision) in Seoul, Korea.