| Learning lossless compression for high bit-depth medical imaging K Wang, Y Bai, D Zhai, D Li, J Jiang, X Liu 2023 IEEE International conference on multimedia and expo (ICME), 2549-2554, 2023 | 10 | 2023 |
| GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression D Li, Y Bai, K Wang, J Jiang, X Liu, W Gao IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 4 | 2024 |
| Learning Lossless Compression for High Bit-Depth Volumetric Medical Image K Wang, Y Bai, D Li, D Zhai, J Jiang, X Liu IEEE Transactions on Image Processing, 2024 | 1 | 2024 |
| Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression D Li, Y Bai, K Wang, J Jiang, X Liu 1nd Place in the Image Compression Track, CLIC 2024, DCC 2024, 2024 | 1 | 2024 |
| CALLIC: Content Adaptive Learning for Lossless Image Compression D Li, Y Bai, K Wang, J Jiang, X Liu, W Gao arXiv preprint arXiv:2412.17464, 2024 | | 2024 |
| Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression Y Zhang, W Zhao, D Li, J Jiang, X Liu 2024 IEEE International Conference on Image Processing (ICIP), 3519-3525, 2024 | | 2024 |
Yuanchao BaiHarbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
