Thermal Image Super-Resolution Challenge Results - PBVS 2022. - Rafael E. Rivadeneira; Angel Domingo Sappa; Boris Xavier Vintimilla; Jin Kim; Dogun Kim; Zhihao Li; Yingchun Jian; Bo Yan; Leilei Cao; Fengliang Qi; Hongbin Wang 006; Rongyuan Wu; et al. (CVPR Workshops, 2022)

CIPPSRNet: A Camera Internal Parameters Perception Network Based Contrastive Learning for Thermal Image Super-Resolution. - Kai Wang 070; Qigong Sun; Yicheng Wang; Huiyuan Wei; Chonghua Lv; Xiaolin Tian 002; Xu Liu 006 (CVPR Workshops, 2022)

Learning Lossless Compression for High Bit-Depth Medical Imaging. - Kai Wang 070; Yuanchao Bai; Deming Zhai; Daxin Li; Junjun Jiang; Xianming Liu (ICME, 2023)

Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu (VCIP, 2024)

Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression. - Yuanchao Bai; Xianming Liu; Kai Wang 070; Xiangyang Ji; Xiaolin Wu 001; Wen Gao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

CALLIC: Content Adaptive Learning for Lossless Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu; Wen Gao 001 (AAAI, 2025)

Learning Lossless Compression for High Bit-Depth Volumetric Medical Image. - Kai Wang 070; Yuanchao Bai; Daxin Li; Deming Zhai; Junjun Jiang; Xianming Liu (IEEE Trans. Image Process., 2025)