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 (ICCV, 2013)

Motion deblurring using coded exposure for a wheeled mobile robot. - Kibaek Park; Seunghak Shin; Hae-Gon Jeon; Joon-Young Lee; In-So Kweon (URAI, 2014)

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 (CVPR, 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 (ICCV, 2015)

Complementary Sets of Shutter Sequences for Motion Deblurring. - Hae-Gon Jeon; Joon-Young Lee; Yudeog Han; Seon Joo Kim; In-So Kweon (ICCV, 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 (ICCV Workshops, 2015)

Depth from accidental motion using geometry prior. - Sunghoon Im; Gyeongmin Choe; Hae-Gon Jeon; In So Kweon (ICIP, 2015)

Depth estimation from light field cameras. - Sunghoon Im; Hae-Gon Jeon; Hyowon Ha; In-So Kweon (URAI, 2015)

High-Quality Depth from Uncalibrated Small Motion Clip. - Hyowon Ha; Sunghoon Im; Jaesik Park; Hae-Gon Jeon; In-So Kweon (CVPR, 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 (CVPR, 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 (ECCV (3), 2016)

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; et al. (CVPR Workshops, 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 (CVPR, 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)

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)

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)

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)

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)

Robust Depth Estimation From Auto Bracketed Images. - Sunghoon Im; Hae-Gon Jeon; In So Kweon (CVPR, 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 (CVPR, 2018)

DPSNet: End-to-end Deep Plane Sweep Stereo. - Sunghoon Im; Hae-Gon Jeon; Stephen Lin 001; In So Kweon (ICLR (Poster), 2019)

Depth Completion with Deep Geometry and Context Guidance. - Byeong-Uk Lee; Hae-Gon Jeon; Sunghoon Im; In So Kweon (ICRA, 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 (IROS, 2019)

Explainable Semantic Mapping for First Responders. - Jean Oh; Martial Hebert; Hae-Gon Jeon; Xavier Perez-Sala; Chia Dai; Yeeho Song (CoRR, 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)

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)

Robust Depth Estimation Using Auto-Exposure Bracketing. - Sunghoon Im; Hae-Gon Jeon; In So Kweon (IEEE Trans. Image Process., 2019)

Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions. - Hae-Gon Jeon; Sunghoon Im; Jean Oh; Martial Hebert (ICRA, 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)

Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. - Inhwan Bae; Hae-Gon Jeon (AAAI, 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)

Deep Depth from Uncalibrated Small Motion Clip. - Sunghoon Im; Hyowon Ha; Hae-Gon Jeon; Stephen Lin 001; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset. - Jin-Hwi Park; Young-Jae Park; Junoh Lee; Hae-Gon Jeon (AAAI, 2022)

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction. - Inhwan Bae; Jin-Hwi Park; Hae-Gon Jeon (CVPR, 2022)

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction. - Inhwan Bae; Jin-Hwi Park; Hae-Gon Jeon (ECCV (22), 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 (ECCV (8), 2022)

Learning Depth from Focus in the Wild. - Changyeon Won; Hae-Gon Jeon (ECCV (1), 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)

Uncertainty Reduction for 3D Point Cloud Self-Supervised Traversability Estimation. - Jihwan Bae; Junwon Seo; Taekyung Kim 003; Hae-Gon Jeon; Kiho Kwak; Inwook Shim (CoRR, 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)

A Set of Control Points Conditioned Pedestrian Trajectory Prediction. - Inhwan Bae; Hae-Gon Jeon (AAAI, 2023)

Task-Specific Scene Structure Representations. - Jisu Shin 002; SeungHyun Shin; Hae-Gon Jeon (AAAI, 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 (CVPR, 2023)

EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting. - Inhwan Bae; Jean Oh; Hae-Gon Jeon (ICCV, 2023)

Learning Affinity with Hyperbolic Representation for Spatial Propagation. - Jin-Hwi Park; Jaesung Choe; Inhwan Bae; Hae-Gon Jeon (ICML, 2023)

Self-Supervised 3D Traversability Estimation With Proxy Bank Guidance. - Jihwan Bae; Junwon Seo; Taekyung Kim 003; Hae-Gon Jeon; Kiho Kwak; Inwook Shim (IEEE Access, 2023)

Spectral-invariant matching network. - YeongMin Ko; Yong-Jun Jang; Vinh Quang Dinh; Hae-Gon Jeon; Moongu Jeon (Inf. Fusion, 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., 2023)

Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction. - Inhwan Bae; Junoh Lee; Hae-Gon Jeon (CVPR, 2024)

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model. - Inhwan Bae; Young-Jae Park; Hae-Gon Jeon (CVPR, 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 (CVPR, 2024)

Depth Prompting for Sensor-Agnostic Depth Estimation. - Jin-Hwi Park; Chanhwi Jeong; Junoh Lee; Hae-Gon Jeon (CVPR, 2024)

Close Imitation of Expert Retouching for Black-and-White Photography. - Seunghyun Shin; Jihwan Bae; Jisu Shin 002; Inwook Shim; Hae-Gon Jeon (CVPR, 2024)

Kinetic Typography Diffusion Model. - Seonmi Park; Inhwan Bae; Seunghyun Shin; Hae-Gon Jeon (ECCV (34), 2024)

CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images. - Jisu Shin 002; Junmyeong Lee; Seongmin Lee 009; Min-Gyu Park; Ju-Mi Kang; Ju Hong Yoon; Hae-Gon Jeon (ECCV (23), 2024)

Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields. - Junoh Lee; Hyunjun Jung; Jin-Hwi Park; Inhwan Bae; Hae-Gon Jeon (ICLR, 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 (ICLR, 2024)

Fully Explicit Dynamic Gaussian Splatting. - Junoh Lee; Changyeon Won; Hyunjun Jung; Inhwan Bae; Hae-Gon Jeon (NeurIPS, 2024)

A Simple yet Universal Framework for Depth Completion. - Jin-Hwi Park; Hae-Gon Jeon (NeurIPS, 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., 2024)

Data-driven Precipitation Nowcasting Using Satellite Imagery. - Young-Jae Park; Doyi Kim; Minseok Seo; Hae-Gon Jeon; Yeji Choi (AAAI, 2025)

Continuous Locomotive Crowd Behavior Generation. - Inhwan Bae; Junoh Lee; Hae-Gon Jeon (CVPR, 2025)

Appearance Harmonization via Bilateral Grid Prediction with Transformers for 3DGS. - Jisu Shin 002; Richard Shaw; Seunghyun Shin; Anton Pelykh; Zhensong Zhang; Hae-Gon Jeon; Eduardo Pérez-Pellitero (CoRR, 2025)

Video Color Grading via Look-Up Table Generation. - Seunghyun Shin; Dongmin Shin; Jisu Shin 002; Hae-Gon Jeon; Joon-Young Lee (CoRR, 2025)