| 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 | 84 | 2017 |
| 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 | 69 | 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 | 58 | 2015 |
| Point sampling with general noise spectrum Y Zhou, H Huang, LY Wei, R Wang ACM Transactions on Graphics (TOG) 31 (4), 76, 2012 | 55 | 2012 |
| 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 | 52 | 2018 |
| 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, 5232-5239, 2019 | 34 | 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 | 32 | 2017 |
| Analogy‐driven 3D style transfer C Ma, H Huang, A Sheffer, E Kalogerakis, R Wang Computer Graphics Forum 33 (2), 175-184, 2014 | 30 | 2014 |
| 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 | 22 | 2017 |
| 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 | 12 | 2019 |
| Gif2video: Color dequantization and temporal interpolation of gif images Y Wang, H Huang, C Wang, T He, J Wang, M Hoai Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 10 | 2019 |
| GeoNet: Deep Geodesic Networks for Point Cloud Analysis T He, H Huang, L Yi, Y Zhou, C Wu, J Wang, S Soatto Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 9 | 2019 |
| 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 | 7 | 2019 |
| Learning to group discrete graphical patterns Z Lun, C Zou, H Huang, E Kalogerakis, P Tan, MP Cani, H Zhang ACM Transactions on Graphics (TOG) 36 (6), 1-11, 2017 | 6 | 2017 |
| Frame-Recurrent Video Inpainting by Robust Optical Flow Inference Y Ding, C Wang, H Huang, J Liu, J Wang, L Wang arXiv preprint arXiv:1905.02882, 2019 | 4 | 2019 |
| When AWGN-based Denoiser Meets Real Noises Y Zhou, J Jiao, H Huang, Y Wang, J Wang, H Shi, T Huang arXiv preprint arXiv:1904.03485, 2019 | 4 | 2019 |
| Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation J Liu, CH Wu, Y Wang, Q Xu, Y Zhou, H Huang, C Wang, S Cai, Y Ding, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 3 | 2019 |
| Gourmet photography dataset for aesthetic assessment of food images K Sheng, W Dong, H Huang, C Ma, BG Hu SIGGRAPH Asia 2018 Technical Briefs, 1-4, 2018 | 3 | 2018 |
| Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise Y Zhou, J Jiao, H Huang, J Wang, T Huang Proceedings of the AAAI Conference on Artificial Intelligence 33, 10085-10086, 2019 | 1 | 2019 |
| Semi-supervised Skin Detection by Network with Mutual Guidance Y He, J Shi, C Wang, H Huang, J Liu, G Li, R Liu, J Wang Proceedings of the IEEE International Conference on Computer Vision, 2111-2120, 2019 | 1 | 2019 |
Evangelos KalogerakisUniversity of Massachusetts Amherst在 cs.umass.edu 的電子郵件地址已通過驗證
