Learning in Compressed Domain for Faster Machine Vision Tasks. - Jinming Liu 001; Heming Sun; Jiro Katto (VCIP, 2021)

Memory-Efficient Learned Image Compression with Pruned Hyperprior Module. - Ao Luo; Heming Sun; Jinming Liu 001; Jiro Katto (ICIP, 2022)

Improving Multiple Machine Vision Tasks in the Compressed Domain. - Jinming Liu 001; Heming Sun; Jiro Katto (ICPR, 2022)

Semantic Segmentation In Learned Compressed Domain. - Jinming Liu 001; Heming Sun; Jiro Katto (PCS, 2022)

Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules. - Ran Wang 015; Jinming Liu 001; Heming Sun; Jiro Katto (CoRR, 2022)

Learned Image Compression with Mixed Transformer-CNN Architectures. - Jinming Liu 001; Heming Sun; Jiro Katto (CVPR, 2023)

Multistage Spatial Context Models for Learned Image Compression. - Fangzheng Lin; Heming Sun; Jinming Liu 001; Jiro Katto (ICASSP, 2023)

Composable Image Coding for Machine via Task-oriented Internal Adaptor and External Prior. - Jinming Liu 001; Xin Jin 014; Ruoyu Feng; Zhibo Chen 001; Wenjun Zeng 001 (VCIP, 2023)

PTS-LIC: Pruning Threshold Searching for Lightweight Learned Image Compression. - Ao Luo; Heming Sun; Jinming Liu 001; Fangzheng Lin; Jiro Katto (VCIP, 2023)

Learned Lossless Image Compression With Combined Channel-Conditioning Models and Autoregressive Modules. - Ran Wang 015; Jinming Liu 001; Heming Sun; Jiro Katto (IEEE Access, 2023)

Inpaint Anything: Segment Anything Meets Image Inpainting. - Tao Yu 012; Runseng Feng; Ruoyu Feng; Jinming Liu 001; Xin Jin 014; Wenjun Zeng 001; Zhibo Chen 001 (CoRR, 2023)

Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts. - Ruoyu Feng; Jinming Liu 001; Xin Jin 014; Xiaohan Pan; Heming Sun; Zhibo Chen 001 (CoRR, 2023)

EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model. - Lianying Yin; Yijun Wang 002; Tianyu He; Jinming Liu 001; Wei Zhao; Bohan Li; Xin Jin 014; Jianxin Lin (CoRR, 2023)

One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation. - Bohan Li; Jingxin Dong 002; Yunnan Wang; Jinming Liu 001; Lianying Yin; Wei Zhao; Zheng Zhu; Xin Jin 014; Wenjun Zeng 001 (CoRR, 2023)

One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception. - Bohan Li; Yasheng Sun; Jingxin Dong 002; Zheng Zhu; Jinming Liu 001; Xin Jin 014; Wenjun Zeng 001 (AAAI, 2024)

Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback. - Xin Jin 014; Bohan Li; Baao Xie; Wenyao Zhang; Jinming Liu 001; Ziqiang Li; Tao Yang 032; Wenjun Zeng 001 (ECCV (45), 2024)

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression. - Jinming Liu 001; Ruoyu Feng; Yunpeng Qi; Qiuyu Chen; Zhibo Chen 001; Wenjun Zeng 001; Xin Jin 014 (ECCV (56), 2024)

Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs. - Jinming Liu 001; Yuntao Wei; Junyan Lin; Shengyang Zhao; Heming Sun; Zhibo Chen 001; Wenjun Zeng 001; Xin Jin 014 (VCIP, 2024)

Semantics Disentanglement and Composition for Versatile Codec toward both Human-eye Perception and Machine Vision Task. - Jinming Liu 001; Yuntao Wei; Junyan Lin; Shengyang Zhao; Heming Sun; Zhibo Chen 001; Wenjun Zeng 001; Xin Jin 014 (CoRR, 2024)

MDLPCC: Misalignment-aware dynamic LiDAR point cloud compression. - Ao Luo; Linxin Song; Keisuke Nonaka; Jinming Liu 001; Kyohei Unno; Kohei Matsuzaki; Heming Sun; Jiro Katto (J. Vis. Commun. Image Represent., 2025)

Revisiting MLLM Token Technology through the Lens of Classical Visual Coding. - Jinming Liu 001; Junyan Lin; Yuntao Wei; Kele Shao; Keda Tao; Jianguo Huang; Xudong Yang; Zhibo Chen 001; Huan Wang; Xin Jin 014 (CoRR, 2025)