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Tak-Wai Hui
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2020 – today
- 2023
- [i6]Tak-Wai Hui:
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes. CoRR abs/2303.04456 (2023) - 2022
- [c14]Tak-Wai Hui:
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes. CVPR 2022: 1665-1674 - 2021
- [j3]Tak-Wai Hui
, Xiaoou Tang, Chen Change Loy
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2555-2569 (2021) - 2020
- [c13]Yuenan Hou, Zheng Ma, Chunxiao Liu, Tak-Wai Hui, Chen Change Loy:
Inter-Region Affinity Distillation for Road Marking Segmentation. CVPR 2020: 12483-12492 - [c12]Tak-Wai Hui
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation. ECCV (20) 2020: 169-184 - [i5]Yuenan Hou
Inter-Region Affinity Distillation for Road Marking Segmentation. CoRR abs/2004.05304 (2020) - [i4]Tak-Wai Hui, Chen Change Loy:
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation. CoRR abs/2007.09319 (2020)
2010 – 2019
- 2019
- [i3]Tak-Wai Hui, Xiaoou Tang, Chen Change Loy:
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization. CoRR abs/1903.07414 (2019) - [i2]Wu Shi, Tak-Wai Hui, Ziwei Liu, Dahua Lin, Chen Change Loy:
Learning to Synthesize Fashion Textures. CoRR abs/1911.07472 (2019) - 2018
- [c11]Tak-Wai Hui, Xiaoou Tang, Chen Change Loy:
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation. CVPR 2018: 8981-8989 - [i1]Tak-Wai Hui, Xiaoou Tang, Chen Change Loy:
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation. CoRR abs/1805.07036 (2018) - 2016
- [c10]Tak-Wai Hui, Chen Change Loy, Xiaoou Tang:
Depth Map Super-Resolution by Deep Multi-Scale Guidance. ECCV (3) 2016: 353-369 - 2015
- [j2]Tak-Wai Hui, Ronald Chung:
Determining shape and motion from monocular camera: A direct approach using normal flows. Pattern Recognit. 48(2): 422-437 (2015) - 2014
- [c9]Lu Sheng
Accelerating the Distribution Estimation for the Weighted Median/Mode Filters. ACCV (4) 2014: 3-17 - [c8]Tak-Wai Hui, King Ngi Ngan
Motion-Depth: RGB-D Depth Map Enhancement with Motion and Depth in Complement. CVPR 2014: 3962-3969 - [c7]Tak-Wai Hui, King Ngi Ngan
Depth enhancement using RGB-D guided filtering. ICIP 2014: 3832-3836 - [c6]Tak-Wai Hui, King Ngi Ngan
Dense depth map generation using sparse depth data from normal flow. ICIP 2014: 3837-3841 - 2013
- [b1]Tak-Wai Hui:
Motion and shape from apparent flow. Chinese University of Hong Kong, Hong Kong, 2013 - [j1]Tak-Wai Hui, Ronald Chung:
Determining shape and motion from non-overlapping multi-camera rig: A direct approach using normal flows. Comput. Vis. Image Underst. 117(8): 947-964 (2013) - [c5]Tak-Wai Hui, Ronald Chung:
Determining Motion Directly from Normal Flows Upon the Use of a Spherical Eye Platform. CVPR 2013: 2267-2274 - [c4]Tak-Wai Hui, Ronald Chung:
Structure from motion directly from a sequence of binocular images without explicit correspondence establishment. ICIP 2013: 3607-3611 - [c3]Tak-Wai Hui, Ronald Chung:
Binocular estimation of motion: A least-square solution using normal flows. ICIP 2013: 3830-3834 - 2012
- [c2]Tak-Wai Hui, Ronald Chung:
Towards a robust hand-eye calibration using normal flows. ICPR 2012: 2545-2548 - 2010
- [c1]Tak-Wai Hui, Ronald Chung:
Determining Spatial Motion Directly from Normal Flow Field: A Comprehensive Treatment. ACCV Workshops (1) 2010: 23-32
Coauthor Index
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