Jinming Liu

35 papers A* 2A 1B 2C 8Misc 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Compression Tells Intelligence: Visual Coding, Visual Token Technology, and the Unification.
CoRR
Xin Jin, Jinming Liu, Yuntao Wei, Junyan Lin, Zhicheng Wang, Jianguo Huang, Xudong Yang, Yanxiao Liu, Wenjun Zeng
2026 J jnl
Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models.
CoRR
Junyan Lin, Junlong Tong, Hao Wu, Jialiang Zhang, Jinming Liu, Xin Jin, Xiaoyu Shen
2025 J jnl
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior.
CoRR
Ruoyu Feng, Yunpeng Qi, Jinming Liu, Yixin Gao, Xin Li, Xin Jin, Zhibo Chen
2025 J jnl
MDLPCC: Misalignment-aware dynamic LiDAR point cloud compression.
J. Vis. Commun. Image Represent.
Ao Luo, Linxin Song, Keisuke Nonaka, Jinming Liu, Kyohei Unno, Kohei Matsuzaki, Heming Sun, Jiro Katto
2025 C conf
Multi-Attribute Continual Learning for Blind Image Quality Assessment.
ISCAS
Yunhao Luo, Jinming Liu, Wei Zhou, Xin Jin
2025 C conf
Quadtree Partitioning-based Visual Token Pruning for MLLMs Considering Information Density.
VCIP
Yuntao Wei, Jinming Liu, Shengyang Zhao, Zhibo Chen, Wenjun Zeng, Xin Jin
2025 A conf
Representation Disentanglement for Semantic Coding.
ICME
Jinming Liu, Junhao Geng, Lexiang Lv, Wenjun Zeng, Xin Jin
2025 J jnl
Revisiting MLLM Token Technology through the Lens of Classical Visual Coding.
CoRR
Jinming Liu, Junyan Lin, Yuntao Wei, Kele Shao, Keda Tao, Jianguo Huang, Xudong Yang, Zhibo Chen, Huan Wang, Xin Jin
2025 C conf
Standard Codec is Enough: A Training-Free 4D Gaussian Compression with Dynamic UV Mapping.
VCIP
Zhicheng Wang, Jinming Liu, Shengyang Zhao, Qiang Hu, Zhibo Chen, Wenjun Zeng, Xin Jin
2025 J jnl
When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMs.
CoRR
Jinming Liu, Zhaoyang Jia, Jiahao Li, Bin Li, Xin Jin, Wenjun Zeng, Yan Lu
2024 — conf
Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback.
ECCV (45)
Xin Jin, Bohan Li, Baao Xie, Wenyao Zhang, Jinming Liu, Ziqiang Li, Tao Yang, Wenjun Zeng
2024 J jnl
Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback.
CoRR
Xin Jin, Bohan Li, Baao Xie, Wenyao Zhang, Jinming Liu, Ziqiang Li, Tao Yang, Wenjun Zeng
2024 A* conf
One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception.
AAAI
Bohan Li, Yasheng Sun, Jingxin Dong, Zheng Zhu, Jinming Liu, Xin Jin, Wenjun Zeng
2024 — conf
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression.
ECCV (56)
Jinming Liu, Ruoyu Feng, Yunpeng Qi, Qiuyu Chen, Zhibo Chen, Wenjun Zeng, Xin Jin
2024 J jnl
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression.
CoRR
Jinming Liu, Ruoyu Feng, Yunpeng Qi, Qiuyu Chen, Zhibo Chen, Wenjun Zeng, Xin Jin
2024 J jnl
Semantics Disentanglement and Composition for Versatile Codec toward both Human-eye Perception and Machine Vision Task.
CoRR
Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin
2024 C conf
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs.
VCIP
Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin
2024 J jnl
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs.
CoRR
Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin
2023 C conf
Composable Image Coding for Machine via Task-oriented Internal Adaptor and External Prior.
VCIP
Jinming Liu, Xin Jin, Ruoyu Feng, Zhibo Chen, Wenjun Zeng
2023 J jnl
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model.
CoRR
Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin
2023 J jnl
Inpaint Anything: Segment Anything Meets Image Inpainting.
CoRR
Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, Zhibo Chen
2023 A* conf
Learned Image Compression with Mixed Transformer-CNN Architectures.
CVPR
Jinming Liu, Heming Sun, Jiro Katto
2023 J jnl
Learned Image Compression with Mixed Transformer-CNN Architectures.
CoRR
Jinming Liu, Heming Sun, Jiro Katto
2023 J jnl
Learned Lossless Image Compression With Combined Channel-Conditioning Models and Autoregressive Modules.
IEEE Access
Ran Wang, Jinming Liu, Heming Sun, Jiro Katto
2023 Misc conf
Multistage Spatial Context Models for Learned Image Compression.
ICASSP
Fangzheng Lin, Heming Sun, Jinming Liu, Jiro Katto
2023 J jnl
Multistage Spatial Context Models for Learned Image Compression.
CoRR
Fangzheng Lin, Heming Sun, Jinming Liu, Jiro Katto
2023 J jnl
One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation.
CoRR
Bohan Li, Jingxin Dong, Yunnan Wang, Jinming Liu, Lianying Yin, Wei Zhao, Zheng Zhu, Xin Jin, Wenjun Zeng
2023 C conf
PTS-LIC: Pruning Threshold Searching for Lightweight Learned Image Compression.
VCIP
Ao Luo, Heming Sun, Jinming Liu, Fangzheng Lin, Jiro Katto
2023 J jnl
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts.
CoRR
Ruoyu Feng, Jinming Liu, Xin Jin, Xiaohan Pan, Heming Sun, Zhibo Chen
2022 B conf
Improving Multiple Machine Vision Tasks in the Compressed Domain.
ICPR
Jinming Liu, Heming Sun, Jiro Katto
2022 J jnl
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules.
CoRR
Ran Wang, Jinming Liu, Heming Sun, Jiro Katto
2022 B conf
Memory-Efficient Learned Image Compression with Pruned Hyperprior Module.
ICIP
Ao Luo, Heming Sun, Jinming Liu, Jiro Katto
2022 C conf
Semantic Segmentation In Learned Compressed Domain.
PCS
Jinming Liu, Heming Sun, Jiro Katto
2022 J jnl
Semantic Segmentation in Learned Compressed Domain.
CoRR
Jinming Liu, Heming Sun, Jiro Katto
2021 C conf
Learning in Compressed Domain for Faster Machine Vision Tasks.
VCIP
Jinming Liu, Heming Sun, Jiro Katto