| FVC: A new framework towards deep video compression in feature space Z Hu, G Lu, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 275 | 2021 |
| Multi-object tracking with multiple cues and switcher-aware classification W Feng, B Li, W Ouyang 2022 International Conference on Digital Image Computing: Techniques and …, 2022 | 165 | 2022 |
| Improving deep video compression by resolution-adaptive flow coding Z Hu, Z Chen, D Xu, G Lu, W Ouyang, S Gu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 136 | 2020 |
| Styleformer: Real-time arbitrary style transfer via parametric style composition X Wu, Z Hu, L Sheng, D Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 116 | 2021 |
| A unified end-to-end framework for efficient deep image compression J Liu, G Lu, Z Hu, D Xu arXiv preprint arXiv:2002.03370, 2020 | 102 | 2020 |
| Coarse-to-fine deep video coding with hyperprior-guided mode prediction Z Hu, G Lu, J Guo, S Liu, W Jiang, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 101 | 2022 |
| Videocontrolnet: A motion-guided video-to-video translation framework by using diffusion model with controlnet Z Hu, D Xu arXiv preprint arXiv:2307.14073, 2023 | 53 | 2023 |
| LSVC: A learning-based stereo video compression framework Z Chen, G Lu, Z Hu, S Liu, W Jiang, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 42 | 2022 |
| Fvc: An end-to-end framework towards deep video compression in feature space Z Hu, D Xu, G Lu, W Jiang, W Wang, S Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4569-4585, 2022 | 25 | 2022 |
| Content adaptive latents and decoder for neural image compression G Pan, G Lu, Z Hu, D Xu European Conference on Computer Vision, 556-573, 2022 | 18 | 2022 |
| Icmh-net: Neural image compression towards both machine vision and human vision L Liu, Z Hu, Z Chen, D Xu Proceedings of the 31st ACM International Conference on Multimedia, 8047-8056, 2023 | 15 | 2023 |
| Pchm-net: A new point cloud compression framework for both human vision and machine vision L Liu, Z Hu, J Zhang 2023 IEEE International Conference on Multimedia and Expo (ICME), 1997-2002, 2023 | 13 | 2023 |
| Complexity-guided slimmable decoder for efficient deep video compression Z Hu, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| SAMOT: Switcher-aware multi-object tracking and still another MOT measure W Feng, Z Hu, B Li, W Gan, W Wu, W Ouyang arXiv preprint arXiv:2009.10338, 2020 | 5 | 2020 |
| Group-aware parameter-efficient updating for content-adaptive neural video compression Z Chen, L Zhou, Z Hu, D Xu Proceedings of the 32nd ACM International Conference on Multimedia, 11022-11031, 2024 | 4 | 2024 |
| Towards point cloud compression for machine perception: A simple and strong baseline by learning the octree depth level predictor L Liu, Z Hu, Z Chen International Joint Conference on Artificial Intelligence, 3-17, 2024 | 3 | 2024 |
| Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training X Xing, C Wang, H Zhou, Z Hu, C Li, D Xu, Q Yu arXiv preprint arXiv:2308.07665, 2023 | 2 | 2023 |
| A unified efficient deep image compression framework and its application on human-centric Task X Chen, Z Hu, G Lu, J Liu Multimedia Tools and Applications 83 (29), 73407-73425, 2024 | 1 | 2024 |
| An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks L Liu, Z Chen, Z Hu, D Xu arXiv preprint arXiv:2501.04329, 2025 | | 2025 |
| SPC-Net: A New Scalable Point Cloud Compression Framework for Both Machine and Human Vision Tasks L Liu, Z Hu, D Xu | | |