AI Compression

Hi! 👋

English 简体中文

Here is compression group in CITE (Computational Imaging Technology) Lab, Nanjing University. We are focusing on deep learning based visual compression methods, including image, video, 3D and feature compression. We are also studying to turn the compression algorithms into chip designs.

Members

• Qiu Shen (Associate Professor) 📧email 🔗homepage
• Peijie Diao (Ph.D.) 📧email 🔗homepage github
• Linfeng Liu (Ph.D.) 📧email
• Zhicheng Cai (M.S.) 📧email

Publications

• Zhicheng Cai, Qiu Shen. Encoding Semantic Priors into the Weights of Implicit Neural Representation[C]//2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024.
• Zhicheng Cai, Hao Zhu, Qiu Shen, Xinran Wang, Xun Cao. Batch Normalization Alleviates the Spectral Bias in Coordinate Networks[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024.
• Linfeng Liu, Tong Chen, Haojie Liu, Shiliang Pu, Li Wang, Qiu Shen. 2C-Net: Integrate Image Compression and Classification via Deep Neural Network[J]. Multimedia Systems, 2023, 29(3): 945-959.
• 刘霖枫, 沈秋, 马展, 王莉, 武晓阳. 一种视频图像的处理方法、装置与系统[P]. 浙江省: CN202010798009.7, 2022-12-23.
• Linfeng Liu, Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma. Codedretrieval: Joint Image Compression and Retrieval with Neural Networks[C]//2019 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2019: 1-4.
• Qiu Shen, Juanjuan Cai, Linfeng Liu, Haojie Liu, Tong Chen, Long Ye, Zhan Ma. CodedVision: Towards Joint Image Understanding and Compression via End-to-End Learning[C]//Pacific Rim Conference on Multimedia. Cham: Springer International Publishing, 2018: 3-14.