We stand with Ukraine

We stand with Ukraine

Jinming Liu

Orcid: 0000-0002-8714-073X

Affiliations:

Shanghai Jiao Tong University, Shanghai, China
Eastern Institute of Technology, Ningbo, China

According to our database¹, Jinming Liu authored at least 32 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Generation Navigator: A State-Aware Agentic Framework for Image Generation.

[DOI]

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CoRR, May, 2026

An Efficient Streaming Video Understanding Framework with Agentic Control.

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CoRR, May, 2026

Compression Tells Intelligence: Visual Coding, Visual Token Technology, and the Unification.

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CoRR, January, 2026

Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models.

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CoRR, January, 2026

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

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

Efficient Token Compression for the Understanding and Generation Unified MLLMs.

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

2025

Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior.

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CoRR, November, 2025

When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMs.

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CoRR, September, 2025

MDLPCC: Misalignment-aware dynamic LiDAR point cloud compression.

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Kohei Matsuzaki

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J. Vis. Commun. Image Represent., 2025

Quadtree Partitioning-based Visual Token Pruning for MLLMs Considering Information Density.

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Proceedings of the International Conference on Visual Communications and Image Processing, 2025

Standard Codec is Enough: A Training-Free 4D Gaussian Compression with Dynamic UV Mapping.

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Proceedings of the International Conference on Visual Communications and Image Processing, 2025

Multi-Attribute Continual Learning for Blind Image Quality Assessment.

[DOI]

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Representation Disentanglement for Semantic Coding.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

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

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CoRR, 2024

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

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

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression.

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Proceedings of the Computer Vision - ECCV 2024, 2024

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

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Proceedings of the Computer Vision - ECCV 2024, 2024

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

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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.

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CoRR, 2023

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

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CoRR, 2023

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

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CoRR, 2023

Inpaint Anything: Segment Anything Meets Image Inpainting.

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CoRR, 2023

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

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IEEE Access, 2023

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

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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.

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

Multistage Spatial Context Models for Learned Image Compression.

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Proceedings of the IEEE International Conference on Acoustics, 2023

Learned Image Compression with Mixed Transformer-CNN Architectures.

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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.

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CoRR, 2022

Semantic Segmentation In Learned Compressed Domain.

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Proceedings of the Picture Coding Symposium, 2022

Improving Multiple Machine Vision Tasks in the Compressed Domain.

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

Memory-Efficient Learned Image Compression with Pruned Hyperprior Module.

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

2021

Learning in Compressed Domain for Faster Machine Vision Tasks.

[DOI]

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

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