| 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 | 251 | 2017 |
| 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 | 120 | 2018 |
| Deep learning for surface material classification using haptic and visual information H Zheng, L Fang, M Ji, M Strese, Y Özer, E Steinbach IEEE Transactions on Multimedia 18 (12), 2407-2416, 2016 | 81 | 2016 |
| Early melanoma diagnosis with mobile imaging TT Do, Y Zhou, H Zheng, NM Cheung, D Koh 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 39 | 2014 |
| Learning Cross-scale Correspondence and Patch-based Synthesis for Reference-based Super-Resolution H Zheng, J Mengqi, H Wang, Y Liu, F Lu British Machine Vision Conference (BMVC), 10, 2017 | 37 | 2017 |
| What comprises a good talking-head video generation?: A survey and benchmark L Chen, G Cui, Z Kou, H Zheng, C Xu arXiv preprint arXiv:2005.03201, 2020 | 21 | 2020 |
| Combining Exemplar-based Approach and learning-based Approach for Light Field Super-resolution Using a Hybrid Imaging System H Zheng, M Guo, H Wang, Y Liu, L Fang International Conference on Computer Vision - Workshops, 2017, 2017 | 19 | 2017 |
| Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse Autoencoder M Ji, L Fang, H Zheng, M Strese, E Steinbach 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 17 | 2015 |
| Personalized fashion recommendation from personal social media data: An item-to-set metric learning approach H Zheng, K Wu, JH Park, W Zhu, J Luo 2021 IEEE International Conference on Big Data (Big Data), 5014-5023, 2021 | 12 | 2021 |
| Computation and memory efficient image segmentation Y Zhou, TT Do, H Zheng, NM Cheung, L Fang IEEE Transactions on Circuits and Systems for Video Technology 28 (1), 46-61, 2016 | 12 | 2016 |
| Example-guided image synthesis using masked spatial-channel attention and self-supervision H Zheng, H Liao, L Chen, W Xiong, T Chen, J Luo European Conference on Computer Vision, 422-439, 2020 | 11* | 2020 |
| Learning high-level prior with convolutional neural networks for semantic segmentation H Zheng, Y Liu, M Ji, F Wu, L Fang arXiv preprint arXiv:1511.06988, 2015 | 11 | 2015 |
| Pose flow learning from person images for pose guided synthesis H Zheng, L Chen, C Xu, J Luo IEEE Transactions on Image Processing 30, 1898-1909, 2020 | 10* | 2020 |
| Crossnet++: Cross-scale large-parallax warping for reference-based super-resolution Y Tan, H Zheng, Y Zhu, X Yuan, X Lin, D Brady, L Fang IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4291 …, 2020 | 10 | 2020 |
| Learning bias-invariant representation by cross-sample mutual information minimization W Zhu, H Zheng, H Liao, W Li, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 8 | 2021 |
| Semantic layout manipulation with high-resolution sparse attention H Zheng, Z Lin, J Lu, S Cohen, J Zhang, N Xu, J Luo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 7 | 2022 |
| Sound to visual: Hierarchical cross-modal talking face video generation L Chen, H Zheng, RK Maddox, Z Duan, C Xu IEEE Computer Society Conference on Computer Vision and Pattern Recognition …, 2019 | 6 | 2019 |
| Image sentiment transfer T Chen, W Xiong, H Zheng, J Luo Proceedings of the 28th ACM International Conference on Multimedia, 4407-4415, 2020 | 4 | 2020 |
| What comprises a good talking-head video generation? L Chen, G Cui, Z Kou, H Zheng, C Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020 | 4 | 2020 |
| Analysis of sports statistics via graph-signal smoothness prior H Zheng, G Cheung, L Fang 2015 Asia-Pacific Signal and Information Processing Association Annual …, 2015 | 4 | 2015 |
Lu FANGTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
