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 | 189 | 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 | 154 | 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 | 109 | 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 | 84 | 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 | 79 | 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 | 64 | 2022 |
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 | 28 | 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 | 25 | 2023 |
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 | 17 | 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 | 11 | 2022 |
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 | 7 | 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 | 3 | 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 | 3 | 2020 |
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 | 2 | 2023 |
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression Z Chen, L Zhou, Z Hu, D Xu arXiv preprint arXiv:2405.04274, 2024 | | 2024 |
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, 1-19, 2023 | | 2023 |
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 | | 2023 |
SPC-Net: A New Scalable Point Cloud Compression Framework for Both Machine and Human Vision Tasks L Liu, Z Hu, D Xu | | 2022 |
Content Adaptive Latents and Decoder for Neural Image Compression (Supplementary Materials) G Pan, G Lu, Z Hu, D Xu | | |