Seuraa
Yebin Liu
Yebin Liu
Vahvistettu sähköpostiosoite verkkotunnuksessa tsinghua.edu.cn - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Light field image processing: An overview
G Wu, B Masia, A Jarabo, Y Zhang, L Wang, Q Dai, T Chai, Y Liu
IEEE Journal of Selected Topics in Signal Processing 11 (7), 926-954, 2017
6182017
Surfacenet: An end-to-end 3d neural network for multiview stereopsis
M Ji, J Gall, H Zheng, Y Liu, L Fang
Proceedings of the IEEE International Conference on Computer Vision, 2307-2315, 2017
4692017
Deephuman: 3d human reconstruction from a single image
Z Zheng, T Yu, Y Wei, Q Dai, Y Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3812019
Doublefusion: Real-time capture of human performances with inner body shapes from a single depth sensor
T Yu, Z Zheng, K Guo, J Zhao, Q Dai, H Li, G Pons-Moll, Y Liu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
3552018
Pymaf: 3d human pose and shape regression with pyramidal mesh alignment feedback loop
H Zhang, Y Tian, X Zhou, W Ouyang, Y Liu, L Wang, Z Sun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3402021
Spatial-spectral encoded compressive hyperspectral imaging
X Lin, Y Liu, J Wu, Q Dai
ACM Transactions on Graphics (TOG) 33 (6), 1-11, 2014
3222014
Pamir: Parametric model-conditioned implicit representation for image-based human reconstruction
Z Zheng, T Yu, Y Liu, Q Dai
IEEE transactions on pattern analysis and machine intelligence 44 (6), 3170-3184, 2021
3102021
Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
T Yu, Z Zheng, K Guo, P Liu, Q Dai, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
3052021
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping
H Zheng, M Ji, H Wang, Y Liu, L Fang
Proceedings of the European Conference on Computer Vision (ECCV), 88-104, 2018
2532018
Light field reconstruction using deep convolutional network on EPI
G Wu, M Zhao, L Wang, Q Dai, T Chai, Y Liu
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1638 …, 2017
2452017
Real-time geometry, albedo, and motion reconstruction using a single rgb-d camera
K Guo, F Xu, T Yu, X Liu, Q Dai, Y Liu
ACM Transactions on Graphics (ToG) 36 (4), 1, 2017
2332017
Bodyfusion: Real-time capture of human motion and surface geometry using a single depth camera
T Yu, K Guo, F Xu, Y Dong, Z Su, J Zhao, J Li, Q Dai, Y Liu
Proceedings of the IEEE International Conference on Computer Vision, 910-919, 2017
1942017
Markerless motion capture of interacting characters using multi-view image segmentation
Y Liu, C Stoll, J Gall, HP Seidel, C Theobalt
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
1832011
Dual-coded compressive hyperspectral imaging
X Lin, G Wetzstein, Y Liu, Q Dai
Optics letters 39 (7), 2044-2047, 2014
1762014
Learning Event-Based Motion Deblurring
Z Jiang, Y Zhang, D Zou, J Ren, J Lv, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1692020
Robust Non-rigid Motion Tracking and Surface Reconstruction Using L0 Regularization
K Guo, F Xu, Y Wang, Y Liu, Q Dai
Proceedings of the IEEE International Conference on Computer Vision, 2015
1602015
Tensor4d: Efficient neural 4d decomposition for high-fidelity dynamic reconstruction and rendering
R Shao, Z Zheng, H Tu, B Liu, H Zhang, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1582023
Fenerf: Face editing in neural radiance fields
J Sun, X Wang, Y Zhang, X Li, Q Zhang, Y Liu, J Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1542022
A Point-Cloud-Based multiview stereo algorithm for Free-Viewpoint video
Y Liu, Q Dai, W Xu
Visualization and Computer Graphics, IEEE Transactions on 16 (3), 407-418, 2010
1522010
Structured local radiance fields for human avatar modeling
Z Zheng, H Huang, T Yu, H Zhang, Y Guo, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1472022
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