| 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 | 563 | 2020 |
| 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 | 352 | 2017 |
| 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 | 333 | 2021 |
| 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 | 269 | 2021 |
| 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 | 264 | 2023 |
| 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 | 254 | 2017 |
| 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 | 197 | 2019 |
| 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 | 177 | 2020 |
| 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 | 172 | 2018 |
| 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 | 167 | 2022 |
| 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 | 161 | 2021 |
| 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 | 161 | 2019 |
| 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 | 135 | 2020 |
| 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 | 112 | 2022 |
| 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 | 111 | 2020 |
| 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 | 108 | 2019 |
| 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 | 108 | 2017 |
| 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 | 107 | 2015 |
| Point sampling with general noise spectrum Y Zhou, H Huang, LY Wei, R Wang ACM Transactions on Graphics (TOG) 31 (4), 76, 2012 | 78 | 2012 |
| Global-to-local generative model for 3d shapes H Wang, N Schor, R Hu, H Huang, D Cohen-Or, H Huang ACM Transactions on Graphics (TOG) 37 (6), 214, 2019 | 74 | 2019 |
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