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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
6002018
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
3142019
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
1562013
Self-supervised monocular scene flow estimation
J Hur, S Roth
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1172020
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
1052017
Joint optical flow and temporally consistent semantic segmentation
J Hur, S Roth
European Conference on Computer Vision Workshops, 163-177, 2016
862016
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
712024
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
622024
Optical flow estimation in the deep learning age
J Hur, S Roth
Modelling human motion: from human perception to robot design, 119-140, 2020
612020
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
602015
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
592014
Self-supervised multi-frame monocular scene flow
J Hur, S Roth
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
532021
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
292024
Wonderjourney: Going from anywhere to everywhere
HX Yu, H Duan, J Hur, K Sargent, M Rubinstein, WT Freeman, F Cole, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
132024
Raft-msf: Self-supervised monocular scene flow using recurrent optimizer
B Bayramli, J Hur, H Lu
International Journal of Computer Vision 131 (11), 2757-2769, 2023
112023
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
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
62022
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
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
42023
Telling left from right: Identifying geometry-aware semantic correspondence
J Zhang, C Herrmann, J Hur, E Chen, V Jampani, D Sun, MH Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
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