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Junhwa Hur
Junhwa Hur
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Title
Cited by
Cited by
Year
Unflow: Unsupervised learning of optical flow with a bidirectional census loss
S Meister, J Hur, S Roth
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
5702018
Iterative residual refinement for joint optical flow and occlusion estimation
J Hur, S Roth
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2862019
Multi-lane detection in urban driving environments using conditional random fields
J Hur, SN Kang, SW Seo
2013 IEEE Intelligent vehicles symposium (IV), 1297-1302, 2013
1502013
Self-supervised monocular scene flow estimation
J Hur, S Roth
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1072020
MirrorFlow: Exploiting symmetries in joint optical flow and occlusion estimation
J Hur, S Roth
Proceedings of the IEEE International Conference on Computer Vision, 312-321, 2017
1002017
Joint optical flow and temporally consistent semantic segmentation
J Hur, S Roth
European Conference on Computer Vision Workshops, 163-177, 2016
802016
Generalized deformable spatial pyramid: Geometry-preserving dense correspondence estimation
J Hur, H Lim, C Park, S Chul Ahn
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
592015
Multi-lane detection based on accurate geometric lane estimation in highway scenarios
SN Kang, S Lee, J Hur, SW Seo
2014 IEEE Intelligent Vehicles Symposium Proceedings, 221-226, 2014
562014
Optical flow estimation in the deep learning age
J Hur, S Roth
Modelling Human Motion: From Human Perception to Robot Design, 119-140, 2020
532020
Self-supervised multi-frame monocular scene flow
J Hur, S Roth
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
442021
A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence
J Zhang, C Herrmann, J Hur, L Polania Cabrera, V Jampani, D Sun, ...
Advances in Neural Information Processing Systems 36, 2024
262024
RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer
B Bayramli, J Hur, H Lu
International Journal of Computer Vision, 1-13, 2023
92023
The surprising effectiveness of diffusion models for optical flow and monocular depth estimation
S Saxena, C Herrmann, J Hur, A Kar, M Norouzi, D Sun, DJ Fleet
Advances in Neural Information Processing Systems 36, 2024
62024
Self-supervised AutoFlow
HP Huang, C Herrmann, J Hur, E Lu, K Sargent, A Stone, MH Yang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
62023
3D deformable spatial pyramid for dense 3D motion flow of deformable object
J Hur, H Lim, SC Ahn
Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014
62014
Self-supervised surround-view depth estimation with volumetric feature fusion
JH Kim, J Hur, TP Nguyen, SG Jeong
Advances in Neural Information Processing Systems 35, 4032-4045, 2022
42022
Lumiere: A Space-Time Diffusion Model for Video Generation
O Bar-Tal, H Chefer, O Tov, C Herrmann, R Paiss, S Zada, A Ephrat, J Hur, ...
arXiv preprint arXiv:2401.12945, 2024
32024
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model
S Saxena, J Hur, C Herrmann, D Sun, DJ Fleet
arXiv preprint arXiv:2312.13252, 2023
12023
MasKGrasp: Mask-based Grasping for Scenes with Multiple General Real-world Objects
J Lee, J Hur, I Hwang, YM Kim
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
12022
APPARATUS AND METHOD FOR GENERATING DEPTH MAP BY USING VOLUMETRIC FEATURE
SG Jeong, JH Kim, PT Nguyen, JH Hur
US Patent App. 18/355,662, 2024
2024
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