International Conferences

Kinetic Typography Diffusion Model
Seonmi Park, Inhwan Bae, Seunghyun Shin and Hae-Gon JeonEuropean Conference on Computer Vision (ECCV), Sep 2024[Paper] [Project Page]
CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images
Jisu Shin, Junmyeong Lee, Seongmin Lee, Min-Gyu Park, Ju-Mi Kang, Ju Hong Yoon and Hae-Gon JeonEuropean Conference on Computer Vision (ECCV), Sep 2024[Paper] 
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
Inhwan Bae, Junoh Lee and Hae-Gon JeonIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024[Paper] [Project page] [Source Code] [Press]
Close Imitation of Expert Retouching for Black-and-White Photography
Seunghyun Shin, Jisu Shin, Jihwan Bae, Inwook Shim and Hae-Gon JeonIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024[Paper] [Source Code and Dataset]
Depth Prompting for Sensor-agnostic Depth Estimation
Jin-Hwi Park, Chanhwi Jeong, Junoh Lee and Hae-Gon JeonIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024[Paper] [Source code and Dataset] 
SingularTrajectory: Universal Trajectory Predictor using Diffusion Model
Inhwan Bae, Young-Jae Park and Hae-Gon JeonIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024[Paper] [Project page] [Source code] 
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon and Tae Jong ChoiIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024[Paper] [Project page]  
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data  Spotlight Young-Jae Park*, Minseok Seo*, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon and Yeji ChoiThe Twelfth International Conference on Learning Representations (ICLR), May 2024[Paper] [Source code and Dataset] [Review]
Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields Junoh Lee, Hyunjun Jung, Jin-Hwi Park, Inhwan Bae and Hae-Gon JeonThe Twelfth International Conference on Learning Representations (ICLR), May 2024[Paper] [Project page] [Source code] [Review]  
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting Inhwan Bae, Jean Oh and Hae-Gon JeonIEEE/CVF International Conference on Computer Vision (ICCV), Oct 2023[Paper] [Project page] [Source code]  
Learning Affinity with Hyperbolic Representation for Spatial Propagation
Jin-Hwi Park, Jaesung Choe, Inhwan Bae and Hae-Gon Jeon The Fortieth International Conference on Machine Learning (ICML), Jul 2023[Paper] [Source code]
High-fidelity 3D Human Digitization from Single 2K Resolution Images  Highlight 
Sang-Hun Han, Min-Gyu Park, Ju Hong Yoon, Ju-Mi Kang, Young-Jae Park and Hae-Gon Jeon IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023- Silver Prize, 29th HumanTech Paper Award, Samsung Electronics Co., Ltd.- Qualcomm Innovation Fellowship Korea 2023[Paper] [Source code and Dataset] [Press]
Task-specific Scene Structure Representations  Oral Jisu Shin*, Seunghyun Shin* and Hae-Gon Jeon (* equally contributed)The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Feb 2023- Excellent Paper Award, IW-FCV 2023[Paper] [Source code]  
A Set of Control Points Conditioned Pedestrian Trajectory Prediction  Oral Inhwan Bae and Hae-Gon JeonThe Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Feb 2023- Excellent Paper Award, IW-FCV 2023 [Paper] [Project page] [Source code]
Learning Depth from Focus in the WildChang-Yeon Won and Hae-Gon JeonEuropean Conference on Computer Vision (ECCV), Oct 2022- Ranked in 1st in almost error/accuracy metrics of DDFF 12-Scene benchmark since Feb. 2022[Paper] [Arxiv] [Source code]
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction Inhwan Bae, Jin-Hwi Park and Hae-Gon Jeon European Conference on Computer Vision (ECCV), Oct 2022[Paper] [Arxiv] [Project page] [Source code] 
Facial Depth and Normal Estimation using Single Dual-Pixel Camera Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon and Kuk-Jin YoonEuropean Conference on Computer Vision (ECCV), Oct 2022[Paper] [Arxiv] [Source code and dataset] 
Non-Probability Sampling Network for Stochastic Human Trajectory PredictionInhwan Bae, Jin-Hwi Park and Hae-Gon Jeon IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022[Paper] [Project page] [Source code]
DevianceNet: Learning to Predict Deviance from A Large-scale Geo-tagged DatasetJin-Hwi Park*, Young-Jae Park*, Junoh Lee and Hae-Gon Jeon (* equally contributed)The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Feb 2022[Paper] [Source code and dataset] [Press]
Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory PredictionInhwan Bae and Hae-Gon JeonThe Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), Feb 2021- Bronze Prize, 27th HumanTech Paper Award, Samsung Electronics Co., Ltd.- Selected as GIST's Outstanding Research in 2021[Paper] [Project page] [Source code] 
Learning Shape-based Representation for Visual Localization in Extremely Changing ConditionsHae-Gon Jeon, Sunghoon Im, Jean Oh and Martial HebertIEEE International Conference on Robotics and Automation (ICRA), Jun 2020[Paper] [Project page]
Explainable Semantic Mapping for First Responders  Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez, Chia Dai, Yeeho Song Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop at NeurIPS, Dec 2019[Paper] [Project page]
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios  Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert and In So KweonIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov 2019[Paper] [Project page]
DPSNet: End-to-end Deep Plane Sweep StereoSunghoon Im, Hae-Gon Jeon, Stephen Lin and In So KweonThe Seventh International Conference on Learning Representations (ICLR), May 2019[Paper] [Review] [Source code]
Depth Completion with Deep Geometry and Context GuidanceByeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im and In So KweonIEEE International Conference on Robotics and Automation (ICRA), May 2019[Paper]
Robust Depth Estimation from Auto Bracketed ImagesSunghoon Im, Hae-Gon Jeon and In So KweonIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018- Best Poster Award, Samsung AI Forum 2018[Paper] 
EPINET: A Fully-Convolutional Neural Network using Epipolar Geometry for Depth from Light Field ImagesChangha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon and Seon Joo KimIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018- Ranked in 1st in almost error metrics of 4D light-field benchmark from Sep. 2017 to Dec. 2018[Paper] [Source code and Dataset]
A Taxonomy and Evaluation of Dense Light Field Depth Estimation AlgorithmsOle Johannsen, Katrin Honauer, Bastian Goldluecke, Anna Alperovich, Federica Battisti, Yunsu Bok, Michele Brizzi, Marco Carli, Gyeongmin Choe, Maximilian Diebold, Marcel Gutsche, Hae-Gon Jeon, In So Kweon, Jaesik Park, JinsunPark, Hendrik Schilling, Hao Sheng, Lipeng Si, Michael Strecke, Antonin Sulc, Yu-Wing Tai, Qing Wang, Ting-Chun Wang, Sven Wanner, Zhang Xiong, Jingyi Yu, Shuo Zhang, Hao ZhuCVPR Workshop - Light Field for Computer Vision (CVPRW), Jul 2017[Paper] 
Noise Robust Depth from Focus using a Ring Difference Filter  Spotlight  Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha and In So KweonIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jul 2017[Paper] [Video]
All-around Depth from Small Motion with A Spherical Panoramic CameraSunghoon Im, Hyowon Ha, François Rameau, Hae-Gon Jeon, Gyeongmin Choe and In So KweonEuropean Conference on Computer Vision (ECCV), Oct 2016- Best Poster Presentation Award, 29th IPIU 2017[Paper] [Source code]
Stereo Matching with Color and Monochrome Cameras in Low-light ConditionsHae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha and In So KweonIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016- Silver Prize, 22nd HumanTech Paper Award, Samsung Electronics Co., Ltd.- Best Poster Presentation Award, 29th IPIU 2017[Paper] 
High-quality Depth from Uncalibrated Small Motion Clip  Oral Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon and In So KweonIEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2016 - Qualcomm Innovation Award, Qualcomm-KAIST Innovation Awards 2016[Paper] [Source code]
Complementary Sets of Shutter Sequences for Motion DeblurringHae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim and In So KweonIEEE International Conference on Computer Vision (ICCV), Dec 2015- Selected as KAIST Research Highlight of 2013 [Paper] [Video]
High Quality Structure from Small Motion for Rolling Shutter CamerasSunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo and In So KweonIEEE International Conference on Computer Vision (ICCV), Dec 2015- Best Poster Award, IWRCV 2015      [Paper] [Source code]
Learning a Deep Convolutional Network for Light-Field Image Super-ResolutionYoungjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee and In So KweonICCV Workshop - Color and Photometry in Computer Vision (ICCVW), Dec 2015[Paper] [Trained network (Caffe)]
Depth from Accidental Motion using Geometry Prior  Top 10% Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, and In So KweonIEEE International Conference on Image Processing (ICIP), Sep 2015[Paper] 
Accurate Depth Map Estimation from a Lenslet Light Field CameraHae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai and In So KweonIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2015- Best Paper Award, 2015 Korea Multimedia Society[Paper] [Source code]
Geometric Calibration of Micro-Lens-Based Light-Field Cameras using Line FeaturesYunsu Bok, Hae-Gon Jeon and In So KweonEuropean Conference on Computer Vision (ECCV), Sep 2014[Paper] 
Fluttering Pattern Generation using Modified Legendre Sequence for Coded Exposure ImagingHae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim and In So KweonIEEE International Conference on Computer Vision (ICCV), Dec 2013[Paper]