Hae-Gon Jeon

According to our database, Hae-Gon Jeon authored at least 58 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What Makes Deviant Places?

Jin-Hwi Park, Youngjae Park, Ilyung Cheong, Junoh Lee, Young Eun Huh, Hae-Gon Jeon

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data.

Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon, Yeji Choi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields.

Junoh Lee, Hyunjun Jung, Jin-Hwi Park, Inhwan Bae, Hae-Gon Jeon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images.

Jisu Shin, Junmyeong Lee, Seongmin Lee, Min-Gyu Park, Ju-Mi Kang, Ju Hong Yoon, Hae-Gon Jeon

Proceedings of the Computer Vision - ECCV 2024, 2024

Kinetic Typography Diffusion Model.

Seonmi Park, Inhwan Bae, Seunghyun Shin, Hae-Gon Jeon

Proceedings of the Computer Vision - ECCV 2024, 2024

Close Imitation of Expert Retouching for Black-and-White Photography.

Seunghyun Shin, Jihwan Bae, Jisu Shin, Inwook Shim, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Depth Prompting for Sensor-Agnostic Depth Estimation.

Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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, Tae Jong Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model.

Inhwan Bae, Young-Jae Park, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction.

Inhwan Bae, Junoh Lee, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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, Martial Hebert

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Spectral-invariant matching network.

YeongMin Ko, Yong-Jun Jang, Vinh Quang Dinh, Hae-Gon Jeon, Moongu Jeon

Inf. Fusion, 2023

Self-Supervised 3D Traversability Estimation With Proxy Bank Guidance.

Jihwan Bae, Junwon Seo, Taekyung Kim, Hae-Gon Jeon, Kiho Kwak, Inwook Shim

IEEE Access, 2023

Learning Affinity with Hyperbolic Representation for Spatial Propagation.

Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon

Proceedings of the International Conference on Machine Learning, 2023

EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting.

Inhwan Bae, Jean Oh, Hae-Gon Jeon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

High-fidelity 3D Human Digitization from Single 2K Resolution Images.

Sang-Hun Han, Min-Gyu Park, Ju Hong Yoon, Ju-Mi Kang, Young-Jae Park, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Task-Specific Scene Structure Representations.

Jisu Shin, SeungHyun Shin, Hae-Gon Jeon

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

A Set of Control Points Conditioned Pedestrian Trajectory Prediction.

Inhwan Bae, Hae-Gon Jeon

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CMSNet: Deep Color and Monochrome Stereo.

Hae-Gon Jeon, Sunghoon Im, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial Hebert

Int. J. Comput. Vis., 2022

Uncertainty Reduction for 3D Point Cloud Self-Supervised Traversability Estimation.

Jihwan Bae, Junwon Seo, Taekyung Kim, Hae-Gon Jeon, Kiho Kwak, Inwook Shim

CoRR, 2022

AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography.

Ripon Kumar Saha, A. M. Mahmud Chowdhury, Kyung-Sun Na, Gyu Deok Hwang, Youngsub Eom, Jaeyoung Kim, Hae-Gon Jeon, Ho Sik Hwang, Euiheon Chung

CoRR, 2022

Learning Depth from Focus in the Wild.

Changyeon Won, Hae-Gon Jeon

Proceedings of the Computer Vision - ECCV 2022, 2022

Facial Depth and Normal Estimation Using Single Dual-Pixel Camera.

Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction.

Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon

Proceedings of the Computer Vision - ECCV 2022, 2022

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction.

Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset.

Jin-Hwi Park, Young-Jae Park, Junoh Lee, Hae-Gon Jeon

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep Depth from Uncalibrated Small Motion Clip.

Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Facial Depth and Normal Estimation using Single Dual-Pixel Camera.

Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon

CoRR, 2021

Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction.

Inhwan Bae, Hae-Gon Jeon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Ring Difference Filter for Fast and Noise Robust Depth From Focus.

Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im, In So Kweon

IEEE Trans. Image Process., 2020

Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions.

Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Robust Depth Estimation Using Auto-Exposure Bracketing.

Sunghoon Im, Hae-Gon Jeon, In So Kweon

IEEE Trans. Image Process., 2019

Depth from a Light Field Image with Learning-Based Matching Costs.

Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras.

Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Explainable Semantic Mapping for First Responders.

Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez-Sala, Chia Dai, Yeeho Song

CoRR, 2019

DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios.

Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Depth Completion with Deep Geometry and Context Guidance.

Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon

Proceedings of the International Conference on Robotics and Automation, 2019

DPSNet: End-to-end Deep Plane Sweep Stereo.

Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images.

Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Robust Depth Estimation From Auto Bracketed Images.

Sunghoon Im, Hae-Gon Jeon, In So Kweon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Multi-Image Deblurring Using Complementary Sets of Fluttering Patterns.

Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon

IEEE Trans. Image Process., 2017

Light-Field Image Super-Resolution Using Convolutional Neural Network.

Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon

IEEE Signal Process. Lett., 2017

Geometry Guided Three-Dimensional Propagation for Depth From Small Motion.

Seunghak Shin, Sunghoon Im, Inwook Shim, Hae-Gon Jeon, In So Kweon

IEEE Signal Process. Lett., 2017

Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features.

Yunsu Bok, Hae-Gon Jeon, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Generating Fluttering Patterns with Low Autocorrelation for Coded Exposure Imaging.

Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon

Int. J. Comput. Vis., 2017

Noise Robust Depth from Focus Using a Ring Difference Filter.

Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.

Ole 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, Jinsun Park, 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 Zhu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

All-Around Depth from Small Motion with a Spherical Panoramic Camera.

Sunghoon Im, Hyowon Ha, François Rameau, Hae-Gon Jeon, Gyeongmin Choe, In-So Kweon

Proceedings of the Computer Vision - ECCV 2016, 2016

Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions.

Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In-So Kweon

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

High-Quality Depth from Uncalibrated Small Motion Clip.

Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In-So Kweon

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Depth estimation from light field cameras.

Sunghoon Im, Hae-Gon Jeon, Hyowon Ha, In-So Kweon

Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Depth from accidental motion using geometry prior.

Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, In So Kweon

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Learning a Deep Convolutional Network for Light-Field Image Super-Resolution.

Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Complementary Sets of Shutter Sequences for Motion Deblurring.

Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In-So Kweon

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

High Quality Structure from Small Motion for Rolling Shutter Cameras.

Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Accurate depth map estimation from a lenslet light field camera.

Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, In So Kweon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Motion deblurring using coded exposure for a wheeled mobile robot.

Kibaek Park, Seunghak Shin, Hae-Gon Jeon, Joon-Young Lee, In-So Kweon

Proceedings of the 11th International Conference on Ubiquitous Robots and Ambient Intelligence, 2014

2013

Fluttering Pattern Generation Using Modified Legendre Sequence for Coded Exposure Imaging.

Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In-So Kweon

Proceedings of the IEEE International Conference on Computer Vision, 2013