News
One paper accepted by TCSVT 2025
One paper accepted by VCIP 2024
Compressing 3D Gaussian Splatting via a Generalizable Neural Coder
One paper accepted by ACM MM 2024
HINER: Neural Representation for Hyperspectral Image
One paper accepted by DCC 2024
Variable-rate Neural Speech Compression with Multi-scale Feature Extraction and Improved Entropy Modeling
One paper accepted by ICASSP 2024
Two papers accepted by ACM MM 2023
[1] G-PCC++: Enhanced Geometry-based Point Cloud Compression [2] YOGA: Yet Another Geometry-based Point Cloud Compressor
One Paper Published on IEEE Transactions on Circuits and Systems for Video Technology
Towards robust neural image compression: Adversarial attack and model finetuning
One Paper Published on IEEE Transactions on Image Processing
End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling
Best Performance Award in IEEE MMSP 2020 Learning-based Image Coding Challenge
Publications
- Kang You, Tong Chen*, Dandan Ding, M. Salman Asif, and Zhan Ma. "RENO: Real-time Neural Compression for 3D LiDAR Point Clouds", CVPR, 2025. [Project Website]
- Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, and Zhan Ma, "On Quantizing Neural Representation for Variable-Rate Video Coding," ICLR, May, 2025. (Spotlight)
- Junzhe Zhang, Tong Chen, Kang You, Dandan Ding, and Zhan Ma. "Conditional Lossless Point Cloud Attribute Compression via Spatial Decomposition", TCSVT, 2025.
- Junteng Zhang, Tong Chen*, Hao Zhu, Dong Wang, Dandan Ding, and Zhan Ma. "Compressing 3D Gaussian Splatting via a Generalizable Neural Coder", VCIP, Tokyo, Japan, Dec, 2024. (oral)
- Junqi Shi, Mingyi Jiang, Ming Lu, Tong Chen, Xun Cao, and Zhan Ma. "HINER: Neural Representation for Hyperspectral Image", ACM MM, in Melbourne, Australia, Oct. 2024.
- Ruixiang Xue, Jiaxin Li, Tong Chen*, Dandan Ding, Xun Cao, and Zhan Ma. "NeRI: Implicit Neural Representation of LiDAR Point Cloud Using Range Image Sequence", IEEE ICASSP, 2024. [Project Website]
- Shaohan Sun, Yuzhuo Kong, Tong Chen*, and Zhan Ma, "Variable rate Neural Speech Compression with Multiscale Feature Extraction and Improved Entropy Modeling", DCC, 2024.
- Junzhe Zhang#, Tong Chen#, Dandan Ding, and Zhan Ma, "G-PCC++: Enhanced Geometry-based Point Cloud Compression", ACM MM, Oct. 2023. [Project Website] (oral)
- Junteng Zhang#, Tong Chen#, Dandan Ding, and Zhan Ma, "YOGA: Yet Another Geometry-based Point Cloud Compressor", ACM MM, Oct. 2023. [Project Website]
- Tong Chen and Zhan Ma. "Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning", IEEE TCSVT, 2023.
- Tong Chen, Haojie Liu, Zhan Ma, Qiu Shen, Xun Cao, and Yao Wang. "End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling", IEEE TIP, 2021.
- Tong Chen and Zhan Ma. "Variable Bitrate Image Compression with Quality Scaling Factors", IEEE ICASSP, 2020.
About
I am currently working in Vision Lab with Prof. Zhan Ma, Nanjing University, focusing on AI powered 2D to 3D multimedia processing and compression.
For students who are interested in our research area, welcome to join us.
Services
I am/was invited reviewer for:
TIP, TCSVT, TMM, TOMM, SPL, Journal of Big Data
NeurIPS, ICLR, CVPR, AAAI, ACM MM, ISCAS, MMSP
Conference service:
ICASSP2024 Session Chair on Segmentation (poster) and 3D generation (lecture)