Jinming Liu

According to our database, Jinming Liu authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Revisiting MLLM Token Technology through the Lens of Classical Visual Coding.

Jinming Liu, Junyan Lin, Yuntao Wei, Kele Shao, Keda Tao, Jianguo Huang, Xudong Yang, Zhibo Chen, Huan Wang, Xin Jin

CoRR, August, 2025

MDLPCC: Misalignment-aware dynamic LiDAR point cloud compression.

Ao Luo, Linxin Song, Keisuke Nonaka, Jinming Liu, Kyohei Unno, Kohei Matsuzaki, Heming Sun, Jiro Katto

J. Vis. Commun. Image Represent., 2025

2024

Semantics Disentanglement and Composition for Versatile Codec toward both Human-eye Perception and Machine Vision Task.

Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin

CoRR, 2024

Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs.

Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression.

Jinming Liu, Ruoyu Feng, Yunpeng Qi, Qiuyu Chen, Zhibo Chen, Wenjun Zeng, Xin Jin

Proceedings of the Computer Vision - ECCV 2024, 2024

Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback.

Xin Jin, Bohan Li, Baao Xie, Wenyao Zhang, Jinming Liu, Ziqiang Li, Tao Yang, Wenjun Zeng

Proceedings of the Computer Vision - ECCV 2024, 2024

One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception.

Bohan Li, Yasheng Sun, Jingxin Dong, Zheng Zhu, Jinming Liu, Xin Jin, Wenjun Zeng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation.

Bohan Li, Jingxin Dong, Yunnan Wang, Jinming Liu, Lianying Yin, Wei Zhao, Zheng Zhu, Xin Jin, Wenjun Zeng

CoRR, 2023

EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model.

Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin

CoRR, 2023

Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts.

Ruoyu Feng, Jinming Liu, Xin Jin, Xiaohan Pan, Heming Sun, Zhibo Chen

CoRR, 2023

Inpaint Anything: Segment Anything Meets Image Inpainting.

Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, Zhibo Chen

CoRR, 2023

Learned Lossless Image Compression With Combined Channel-Conditioning Models and Autoregressive Modules.

Ran Wang, Jinming Liu, Heming Sun, Jiro Katto

IEEE Access, 2023

PTS-LIC: Pruning Threshold Searching for Lightweight Learned Image Compression.

Ao Luo, Heming Sun, Jinming Liu, Fangzheng Lin, Jiro Katto

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Composable Image Coding for Machine via Task-oriented Internal Adaptor and External Prior.

Jinming Liu, Xin Jin, Ruoyu Feng, Zhibo Chen, Wenjun Zeng

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Multistage Spatial Context Models for Learned Image Compression.

Fangzheng Lin, Heming Sun, Jinming Liu, Jiro Katto

Proceedings of the IEEE International Conference on Acoustics, 2023

Learned Image Compression with Mixed Transformer-CNN Architectures.

Jinming Liu, Heming Sun, Jiro Katto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules.

Ran Wang, Jinming Liu, Heming Sun, Jiro Katto

CoRR, 2022

Semantic Segmentation In Learned Compressed Domain.

Jinming Liu, Heming Sun, Jiro Katto

Proceedings of the Picture Coding Symposium, 2022

Improving Multiple Machine Vision Tasks in the Compressed Domain.

Jinming Liu, Heming Sun, Jiro Katto

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Memory-Efficient Learned Image Compression with Pruned Hyperprior Module.

Ao Luo, Heming Sun, Jinming Liu, Jiro Katto

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Learning in Compressed Domain for Faster Machine Vision Tasks.

Jinming Liu, Heming Sun, Jiro Katto

Proceedings of the International Conference on Visual Communications and Image Processing, 2021