AI Compression

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English 简体中文

这里是南京大学 CITE（计算成像技术）实验室的编码组。我们主要进行基于深度学习的视觉压缩算法研究，包括图像、视频、3D和特征压缩。同时我们也在研究将压缩算法转化为芯片设计。

成员

• 沈秋（副教授） 📧邮箱 🔗主页
• 刁培杰（博士研究生） 📧邮箱 🔗主页 github
• 刘霖枫（博士研究生） 📧邮箱
• 蔡志成（硕士研究生） 📧邮箱

发表论文

• 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.