| Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding D He, Z Yang, W Peng, R Ma, H Qin, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 317 | 2022 |
| Checkerboard Context Model for Efficient Learned Image Compression D He, Y Zheng, B Sun, Y Wang, H Qin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 299 | 2021 |
| TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding D He, Y Zhao, J Luo, T Hui, S Huang, A Zhang, S Liu Proceedings of the 29th ACM International Conference on Multimedia, 2344-2352, 2021 | 93 | 2021 |
| Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. Y Ma, X Liu, S Bai, L Wang, D He, A Liu IJCAI, 3123-3129, 2019 | 74 | 2019 |
| KBNet: Kernel Basis Network for Image Restoration Y Zhang, D Li, X Shi, D He, K Song, X Wang, H Qin, H Li arXiv preprint arXiv:2303.02881, 2023 | 61 | 2023 |
| PO-ELIC: Perception-Oriented Efficient Learned Image Coding D He, Z Yang, H Yu, T Xu, J Luo, Y Chen, C Gao, X Shi, H Qin, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Flexible neural image compression via code editing C Gao, T Xu, D He, Y Wang, H Qin Advances in Neural Information Processing Systems 35, 12184-12196, 2022 | 23 | 2022 |
| Gaussianimage: 1000 fps image representation and compression by 2d gaussian splatting X Zhang, X Ge, T Xu, D He, Y Wang, H Qin, G Lu, J Geng, J Zhang European Conference on Computer Vision, 327-345, 2024 | 18 | 2024 |
| Bit allocation using optimization T Xu, H Gao, C Gao, Y Wang, D He, J Pi, J Luo, Z Zhu, M Ye, H Qin, ... International Conference on Machine Learning, 38377-38399, 2023 | 16 | 2023 |
| Idempotence and Perceptual Image Compression T Xu, Z Zhu, D He, Y Li, L Guo, Y Wang, Z Wang, H Qin, Y Wang, J Liu, ... arXiv preprint arXiv:2401.08920, 2024 | 13 | 2024 |
| Post-Training Quantization for Cross-Platform Learned Image Compression D He, Z Yang, Y Chen, Q Zhang, H Qin, Y Wang arXiv preprint arXiv:2202.07513, 2022 | 12 | 2022 |
| Boosting Neural Representations for Videos with a Conditional Decoder X Zhang, R Yang, D He, X Ge, T Xu, Y Wang, H Qin, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Task-Aware Encoder Control for Deep Video Compression X Ge, J Luo, X Zhang, T Xu, G Lu, D He, J Geng, Y Wang, J Zhang, H Qin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Conditional Perceptual Quality Preserving Image Compression T Xu, Q Zhang, Y Li, D He, Z Wang, Y Wang, H Qin, Y Wang, J Liu, ... arXiv preprint arXiv:2308.08154, 2023 | 6 | 2023 |
| Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain L Guo, X Shi, D He, Y Wang, R Ma, H Qin, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning B Sun, M Gu, D He, T Xu, Y Wang, H Qin arXiv preprint arXiv:2109.14863, 2021 | 5 | 2021 |
| MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes X Zhang, Z Liu, Y Zhang, X Ge, D He, T Xu, Y Wang, Z Lin, S Yan, J Zhang arXiv preprint arXiv:2410.13613, 2024 | 3 | 2024 |
| Multi-Sample Training for Neural Image Compression T Xu, Y Wang, D He, C Gao, H Gao, K Liu, H Qin Advances in Neural Information Processing Systems 35, 1502-1515, 2022 | 3 | 2022 |
| Consistency model is an effective posterior sample approximation for diffusion inverse solvers T Xu, Z Zhu, J Li, D He, Y Wang, M Sun, L Li, H Qin, Y Wang, J Liu, ... arXiv preprint arXiv:2403.12063, 2024 | 2 | 2024 |
| Evaluating the Practicality of Learned Image Compression H Yu, Q Sun, J Hu, X Xue, J Luo, D He, Y Li, P Wang, Y Wang, Y Dai, ... arXiv preprint arXiv:2207.14524, 2022 | 2 | 2022 |
Yan WangTsinghua university; SenseTimeยืนยันอีเมลแล้วที่ mail.tsinghua.edu.cn
