An Image of Tong Chen Tong Chen Associate Researcher Nanjing University

News

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

NERI: Implicit Neural Representation of Lidar Point Cloud Using Range Image Sequence


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

Publications

  1. Zhang Junteng, Tong Chen*, Hao Zhu, Dong Wang, Dandan Ding, and Zhan Ma. "Compressing 3D Gaussian Splatting via a Generalizable Neural Coder", VCIP, Tokyo, Japan, Dec 8-11, 2024.
  2. 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.
  3. 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]
  4. Shaohan Sun, Yuzhuo Kong, Tong Chen*, and Zhan Ma, "Variable rate Neural Speech Compression with Multiscale Feature Extraction and Improved Entropy Modeling", DCC, 2024.
  5. Junzhe Zhang#, Tong Chen#, Dandan Ding, and Zhan Ma, "G-PCC++: Enhanced Geometry-based Point Cloud Compression", ACM MM, Oct. 2023. [Project Website] (oral)
  6. Junteng Zhang#, Tong Chen#, Dandan Ding, and Zhan Ma, "YOGA: Yet Another Geometry-based Point Cloud Compressor", ACM MM, Oct. 2023. [Project Website]
  7. Tong Chen and Zhan Ma. "Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning", IEEE TCSVT, 2023.
  8. 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.
  9. 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:
  • Trans on Image Processing, Trans on CSVT, Signal Processing Letter, Journal of Big Data
  • NeurIPS, ICLR, CVPR, AAAI, ACM MM, MMSP
  • Conference service:
  • ICASSP2024 Session Chair on Segmentation (poster) and 3D generation (lecture)