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2020 – today
- 2025
[c43]Young-Jae Park, Doyi Kim, Minseok Seo, Hae-Gon Jeon, Yeji Choi:
Data-driven Precipitation Nowcasting Using Satellite Imagery. AAAI 2025: 28284-28292- 2024
- [j15]Jin-Hwi Park
, Youngjae Park, Ilyung Cheong, Junoh Lee, Young Eun Huh, Hae-Gon Jeon:
What Makes Deviant Places? IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7405-7420 (2024) - [c42]Inhwan Bae, Junoh Lee, Hae-Gon Jeon:
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction. CVPR 2024: 753-766 - [c41]Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, Hae-Gon Jeon:
Depth Prompting for Sensor-Agnostic Depth Estimation. CVPR 2024: 9859-9869 - [c40]Inhwan Bae, Young-Jae Park, Hae-Gon Jeon:
SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model. CVPR 2024: 17890-17901 - [c39]Seunghyun Shin, Jihwan Bae, Jisu Shin, Inwook Shim, Hae-Gon Jeon:
Close Imitation of Expert Retouching for Black-and-White Photography. CVPR 2024: 25037-25046 - [c38]Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, Tae Jong Choi:
Learning CNN on ViT: A Hybrid Model to Explicitly Class-Specific Boundaries for Domain Adaptation. CVPR 2024: 28545-28554 - [c37]Jisu Shin, Junmyeong Lee, Seongmin Lee, Min-Gyu Park, Ju-Mi Kang, Ju Hong Yoon, Hae-Gon Jeon:
CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images. ECCV (23) 2024: 38-56 - [c36]Seonmi Park, Inhwan Bae, Seunghyun Shin, Hae-Gon Jeon:
Kinetic Typography Diffusion Model. ECCV (34) 2024: 166-185 - [c35]Junoh Lee, Hyunjun Jung, Jin-Hwi Park, Inhwan Bae, Hae-Gon Jeon:
Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields. ICLR 2024 - [c34]Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon, Yeji Choi:
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data. ICLR 2024 - [c33]Junoh Lee, Changyeon Won, Hyunjun Jung, Inhwan Bae, Hae-Gon Jeon:
Fully Explicit Dynamic Gaussian Splatting. NeurIPS 2024 - [c32]Jin-Hwi Park, Hae-Gon Jeon:
A Simple yet Universal Framework for Depth Completion. NeurIPS 2024 - [i22]Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon, Yeji Choi:
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data. CoRR abs/2401.15726 (2024) - [i21]Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, Tae Jong Choi:
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation. CoRR abs/2403.18360 (2024) - [i20]Inhwan Bae, Junoh Lee, Hae-Gon Jeon:
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction. CoRR abs/2403.18447 (2024) - [i19]Inhwan Bae, Young-Jae Park, Hae-Gon Jeon:
SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model. CoRR abs/2403.18452 (2024) - [i18]Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, Hae-Gon Jeon:
Depth Prompting for Sensor-Agnostic Depth Estimation. CoRR abs/2405.11867 (2024) - [i17]Jisu Shin, Junmyeong Lee, Seongmin Lee, Min-Gyu Park, Ju-Mi Kang, Ju Hong Yoon, Hae-Gon Jeon:
CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images. CoRR abs/2407.04345 (2024) - [i16]Seonmi Park, Inhwan Bae, Seunghyun Shin, Hae-Gon Jeon:
Kinetic Typography Diffusion Model. CoRR abs/2407.10476 (2024) - [i15]Junoh Lee, Changyeon Won, Hyunjun Jung, Inhwan Bae, Hae-Gon Jeon:
Fully Explicit Dynamic Gaussian Splatting. CoRR abs/2410.15629 (2024) - [i14]Young-Jae Park, Doyi Kim, Minseok Seo, Hae-Gon Jeon, Yeji Choi:
Data-driven Precipitation Nowcasting Using Satellite Imagery. CoRR abs/2412.11480 (2024) - 2023
- [j14]Jihwan Bae, Junwon Seo, Taekyung Kim, Hae-Gon Jeon, Kiho Kwak, Inwook Shim:
Self-Supervised 3D Traversability Estimation With Proxy Bank Guidance. IEEE Access 11: 51490-51501 (2023) - [j13]YeongMin Ko, Yong-Jun Jang, Vinh Quang Dinh, Hae-Gon Jeon, Moongu Jeon:
Spectral-invariant matching network. Inf. Fusion 91: 623-632 (2023) - [j12]Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, Martial Hebert:
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6766-6782 (2023) - [c31]Jisu Shin, SeungHyun Shin, Hae-Gon Jeon:
Task-Specific Scene Structure Representations. AAAI 2023: 2272-2281 - [c30]Inhwan Bae, Hae-Gon Jeon:
A Set of Control Points Conditioned Pedestrian Trajectory Prediction. AAAI 2023: 6155-6165 - [c29]Sang-Hun Han, Min-Gyu Park, Ju Hong Yoon, Ju-Mi Kang, Young-Jae Park, Hae-Gon Jeon:
High-fidelity 3D Human Digitization from Single 2K Resolution Images. CVPR 2023: 12869-12879 - [c28]Inhwan Bae, Jean Oh, Hae-Gon Jeon:
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting. ICCV 2023: 9983-9995 - [c27]Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon:
Learning Affinity with Hyperbolic Representation for Spatial Propagation. ICML 2023: 27048-27073 - [i13]Jisu Shin, SeungHyun Shin, Hae-Gon Jeon:
Task-specific Scene Structure Representations. CoRR abs/2301.00555 (2023) - [i12]Sang-Hun Han, Min-Gyu Park, Ju Hong Yoon, Ju-Mi Kang, Young-Jae Park, Hae-Gon Jeon:
High-fidelity 3D Human Digitization from Single 2K Resolution Images. CoRR abs/2303.15108 (2023) - [i11]Inhwan Bae, Jean Oh, Hae-Gon Jeon:
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting. CoRR abs/2307.09306 (2023) - 2022
- [j11]Hae-Gon Jeon, Sunghoon Im, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial Hebert:
CMSNet: Deep Color and Monochrome Stereo. Int. J. Comput. Vis. 130(3): 652-668 (2022) - [c26]Jin-Hwi Park, Young-Jae Park, Junoh Lee, Hae-Gon Jeon:
DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset. AAAI 2022: 12043-12052 - [c25]Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon:
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction. CVPR 2022: 6467-6477 - [c24]Changyeon Won, Hae-Gon Jeon:
Learning Depth from Focus in the Wild. ECCV (1) 2022: 1-18 - [c23]Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon:
Facial Depth and Normal Estimation Using Single Dual-Pixel Camera. ECCV (8) 2022: 181-200 - [c22]Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon:
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction. ECCV (22) 2022: 270-289 - [i10]Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon:
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction. CoRR abs/2203.13471 (2022) - [i9]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:
AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography. CoRR abs/2205.15543 (2022) - [i8]Changyeon Won, Hae-Gon Jeon:
Learning Depth from Focus in the Wild. CoRR abs/2207.09658 (2022) - [i7]Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon:
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction. CoRR abs/2207.09953 (2022) - [i6]Jihwan Bae, Junwon Seo, Taekyung Kim, Hae-Gon Jeon, Kiho Kwak, Inwook Shim:
Uncertainty Reduction for 3D Point Cloud Self-Supervised Traversability Estimation. CoRR abs/2211.11201 (2022) - 2021
- [j10]Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon:
Deep Depth from Uncalibrated Small Motion Clip. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1225-1238 (2021) - [c21]Inhwan Bae, Hae-Gon Jeon:
Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. AAAI 2021: 911-919 - [i5]Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon:
Facial Depth and Normal Estimation using Single Dual-Pixel Camera. CoRR abs/2111.12928 (2021) - 2020
- [j9]Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im, In So Kweon:
Ring Difference Filter for Fast and Noise Robust Depth From Focus. IEEE Trans. Image Process. 29: 1045-1060 (2020) - [c20]Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert:
Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions. ICRA 2020: 7135-7141
2010 – 2019
- 2019
- [j8]Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, In So Kweon:
Depth from a Light Field Image with Learning-Based Matching Costs. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 297-310 (2019) - [j7]Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon:
Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 775-787 (2019) - [j6]Sunghoon Im, Hae-Gon Jeon, In So Kweon:
Robust Depth Estimation Using Auto-Exposure Bracketing. IEEE Trans. Image Process. 28(5): 2451-2464 (2019) - [c19]Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon:
DPSNet: End-to-end Deep Plane Sweep Stereo. ICLR (Poster) 2019 - [c18]Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon:
Depth Completion with Deep Geometry and Context Guidance. ICRA 2019: 3281-3287 - [c17]Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon:
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios. IROS 2019: 187-194 - [i4]Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon:
DPSNet: End-to-end Deep Plane Sweep Stereo. CoRR abs/1905.00538 (2019) - [i3]Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez-Sala, Chia Dai, Yeeho Song:
Explainable Semantic Mapping for First Responders. CoRR abs/1910.07093 (2019) - 2018
- [c16]Sunghoon Im, Hae-Gon Jeon, In So Kweon:
Robust Depth Estimation From Auto Bracketed Images. CVPR 2018: 2946-2954 - [c15]Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim:
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images. CVPR 2018: 4748-4757 - [i2]Sunghoon Im, Hae-Gon Jeon, In So Kweon:
Robust Depth Estimation from Auto Bracketed Images. CoRR abs/1803.07702 (2018) - [i1]Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim:
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images. CoRR abs/1804.02379 (2018) - 2017
- [j5]Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon:
Generating Fluttering Patterns with Low Autocorrelation for Coded Exposure Imaging. Int. J. Comput. Vis. 123(2): 269-286 (2017) - [j4]Yunsu Bok, Hae-Gon Jeon, In So Kweon:
Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 287-300 (2017) - [j3]Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon:
Light-Field Image Super-Resolution Using Convolutional Neural Network. IEEE Signal Process. Lett. 24(6): 848-852 (2017) - [j2]Seunghak Shin, Sunghoon Im, Inwook Shim, Hae-Gon Jeon, In So Kweon:
Geometry Guided Three-Dimensional Propagation for Depth From Small Motion. IEEE Signal Process. Lett. 24(12): 1857-1861 (2017) - [j1]Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon:
Multi-Image Deblurring Using Complementary Sets of Fluttering Patterns. IEEE Trans. Image Process. 26(5): 2311-2326 (2017) - [c14]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:
A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms. CVPR Workshops 2017: 1795-1812 - [c13]Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon:
Noise Robust Depth from Focus Using a Ring Difference Filter. CVPR 2017: 2444-2453 - 2016
- [c12]Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In-So Kweon:
Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions. CVPR 2016: 4086-4094 - [c11]Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In-So Kweon:
High-Quality Depth from Uncalibrated Small Motion Clip. CVPR 2016: 5413-5421 - [c10]Sunghoon Im, Hyowon Ha, François Rameau, Hae-Gon Jeon, Gyeongmin Choe, In-So Kweon:
All-Around Depth from Small Motion with a Spherical Panoramic Camera. ECCV (3) 2016: 156-172 - 2015
- [c9]Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, In So Kweon:
Accurate depth map estimation from a lenslet light field camera. CVPR 2015: 1547-1555 - [c8]Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon:
High Quality Structure from Small Motion for Rolling Shutter Cameras. ICCV 2015: 837-845 - [c7]Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In-So Kweon:
Complementary Sets of Shutter Sequences for Motion Deblurring. ICCV 2015: 3541-3549 - [c6]Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon:
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution. ICCV Workshops 2015: 57-65 - [c5]Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, In So Kweon:
Depth from accidental motion using geometry prior. ICIP 2015: 4160-4164 - [c4]Sunghoon Im, Hae-Gon Jeon, Hyowon Ha, In-So Kweon:
Depth estimation from light field cameras. URAI 2015: 190-191 - 2014
- [c3]Yunsu Bok, Hae-Gon Jeon, In-So Kweon:
Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features. ECCV (6) 2014: 47-61 - [c2]Kibaek Park, Seunghak Shin, Hae-Gon Jeon, Joon-Young Lee, In-So Kweon:
Motion deblurring using coded exposure for a wheeled mobile robot. URAI 2014: 665-671 - 2013
- [c1]Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In-So Kweon:
Fluttering Pattern Generation Using Modified Legendre Sequence for Coded Exposure Imaging. ICCV 2013: 1001-1008
Coauthor Index
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