Junhwa Hur
Junhwa Hur
PhD Student @ TU Darmstadt
Verified email at visinf.tu-darmstadt.de - Homepage
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
2912018
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
992013
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
932019
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
682017
Joint optical flow and temporally consistent semantic segmentation
J Hur, S Roth
European Conference on Computer Vision Workshops, 163-177, 2016
602016
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
542015
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
512014
Self-supervised monocular scene flow estimation
J Hur, S Roth
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
292020
Optical flow estimation in the deep learning age
J Hur, S Roth
Modelling Human Motion, 119-140, 2020
72020
3D deformable spatial pyramid for dense 3D motion flow of deformable object
J Hur, H Lim, SC Ahn
International Symposium on Visual Computing, 118-127, 2014
62014
Self-Supervised Multi-Frame Monocular Scene Flow
J Hur, S Roth
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
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Articles 1–11