Követés
Haibin Huang
Haibin Huang
Researcher at ByteDance
E-mail megerősítve itt: bytedance.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
PVN3D: A deep point-wise 3D keypoints voting network for 6DoF pose estimation
Y He, W Sun, H Huang, J Liu, H Fan, J Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
5592020
High-resolution shape completion using deep neural networks for global structure and local geometry inference
X Han, Z Li, H Huang, E Kalogerakis, Y Yu
Proceedings of the IEEE International Conference on Computer Vision, 85-93, 2017
3582017
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
Y He, H Huang, H Fan, Q Chen, J Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
3242021
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
S Cheng, Y Wang, H Huang, D Liu, H Fan, S Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2632021
Inversion-Based Style Transfer With Diffusion Models
Y Zhang, N Huang, F Tang, H Huang, C Ma, W Dong, C Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2602023
Synthesizing 3d shapes via modeling multi-view depth maps and silhouettes with deep generative networks
A Arsalan Soltani, H Huang, J Wu, TD Kulkarni, JB Tenenbaum
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2532017
Video inpainting by jointly learning temporal structure and spatial details
C Wang, H Huang, X Han, J Wang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5232-5239, 2019
1972019
FPConv: Learning Local Flattening for Point Convolution
Y Lin, Z Yan, H Huang, D Du, L Liu, S Cui, X Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1782020
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks
H Huang, E Kalogerakis, S Chaudhuri, D Ceylan, VG Kim, E Yumer
ACM Transactions on Graphics (TOG) 37 (1), 6, 2018
1732018
Disentangled image matting
S Cai, X Zhang, H Fan, H Huang, J Liu, J Liu, J Liu, J Wang, J Sun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1662019
Domain enhanced arbitrary image style transfer via contrastive learning
Y Zhang, F Tang, W Dong, H Huang, C Ma, TY Lee, C Xu
ACM SIGGRAPH 2022 Conference Proceedings, 1-8, 2022
1652022
Arbitrary video style transfer via multi-channel correlation
Y Deng, F Tang, W Dong, H Huang, C Ma, C Xu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1210-1217, 2021
1592021
When awgn-based denoiser meets real noises
Y Zhou, J Jiao, H Huang, Y Wang, J Wang, H Shi, T Huang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 13074 …, 2020
1372020
Deep constrained least squares for blind image super-resolution
Z Luo, H Huang, L Yu, Y Li, H Fan, S Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1132022
Practical deep raw image denoising on mobile devices
Y Wang, H Huang, Q Xu, J Liu, Y Liu, J Wang
European Conference on Computer Vision, 1-16, 2020
1112020
Deep part induction from articulated object pairs
L Yi, H Huang, D Liu, E Kalogerakis, H Su, L Guibas
ACM Transactions on Graphics (TOG) 37 (6), 209, 2019
1102019
Analysis and synthesis of 3D shape families via deep‐learned generative models of surfaces
H Huang, E Kalogerakis, B Marlin
Computer Graphics Forum 34 (5), 25-38, 2015
1072015
Shape synthesis from sketches via procedural models and convolutional networks
H Huang, E Kalogerakis, E Yumer, R Mech
IEEE transactions on visualization and computer graphics 23 (8), 2003-2013, 2017
1062017
Point sampling with general noise spectrum
Y Zhou, H Huang, LY Wei, R Wang
ACM Transactions on Graphics (TOG) 31 (4), 76, 2012
782012
Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
752017
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Cikkek 1–20