Yiran Zhong
Yiran Zhong
School of Computing, The Australian National University
Verified email at anu.edu.au - Homepage
Title
Cited by
Cited by
Year
Self-supervised learning for stereo matching with self-improving ability
Y Zhong, Y Dai, H Li
arXiv preprint arXiv:1709.00930, 2017
882017
Adversarial spatio-temporal learning for video deblurring
K Zhang, W Luo, Y Zhong, L Ma, W Liu, H Li
IEEE Transactions on Image Processing 28 (1), 291-301, 2018
482018
Open-world stereo video matching with deep rnn
Y Zhong, H Li, Y Dai
Proceedings of the European Conference on Computer Vision (ECCV), 101-116, 2018
322018
Unsupervised deep epipolar flow for stationary or dynamic scenes
Y Zhong, P Ji, J Wang, Y Dai, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
162019
Robust multi-body feature tracker: a segmentation-free approach
P Ji, H Li, M Salzmann, Y Zhong
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
122016
Deblurring by realistic blurring
K Zhang, W Luo, Y Zhong, L Ma, B Stenger, W Liu, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
102020
Noise-aware unsupervised deep lidar-stereo fusion
X *Cheng, Y *Zhong, Y Dai, P Ji, H Li
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
82019
Hierarchical Neural Architecture Search for Deep Stereo Matching
X *Cheng, Y *Zhong, M Harandi, Y Dai, X Chang, H Li, T Drummond, Z Ge
Advances in Neural Information Processing Systems 33, 2020
72020
3d geometry-aware semantic labeling of outdoor street scenes
Y Zhong, Y Dai, H Li
2018 24th International Conference on Pattern Recognition (ICPR), 2343-2349, 2018
62018
Null space clustering with applications to motion segmentation and face clustering
P Ji, Y Zhong, H Li, M Salzmann
2014 IEEE International Conference on Image Processing (ICIP), 283-287, 2014
62014
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
J *Wang, Y *Zhong, Y Dai, K Zhang, P Ji, H Li
Advances in Neural Information Processing Systems 33, 2020
52020
Stereo computation for a single mixture image
Y Zhong, Y Dai, H Li
Proceedings of the European Conference on Computer Vision (ECCV), 435-450, 2018
32018
Self-supervised Visual Geometry Learning
Y Zhong
The Australian National University, 2021
2021
Depth Completion using Piecewise Planar Model
Y Zhong, Y Dai, H Li
arXiv preprint arXiv:2012.03195, 2020
2020
Efficient Depth Completion Using Learned Bases
Y Zhong, Y Dai, H Li
arXiv preprint arXiv:2012.01110, 2020
2020
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Y Zhong, C Loop, W Byeon, S Birchfield, Y Dai, K Zhang, A Kamenev, ...
arXiv preprint arXiv:2012.00899, 2020
2020
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation–Supplementary Material
J Wang, Y Zhong, Y Dai, K Zhang, P Ji, H Li
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes–Supplemental Material
Y Zhong, P Ji, J Wang, Y Dai, H Li
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion–Supplementary Material–
X Cheng, Y Zhong, Y Dai, P Ji, H Li
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