One paper accepted by ACM MM 2024
HINER: Neural Representation for Hyperspectral Image
News
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](https://github.com/RuixiangXue/NeRI)
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
- J. Shi, M. Jiang, M. Lu*, Tong Chen, X. Cao, and Z. 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 learned audio/image, point cloud/3DGS compression and processing. 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
Conference service:
ICASSP2024 Session Chair on Segmentation (poster) and 3D generation (lecture)