IEEE TPAMI

Projective Graph Residualization: Variation-Allocation Frontiers for Control-Function IV

用于控制函数工具变量的图扩散残差

Rui Wu, Zongyuan Chen, Hong Xie, Defu Lian, Enhong Chen

机构 * School of Computer Science and Engineering, University of Science and Technology of China（中国科学技术大学计算机科学与技术学院） 纠错

AI总结 提出自适应各向异性工具热流（A-IHF），一种基于图扩散的残差提取方法，用于灵活控制函数，通过检测处理跳跃并调整图传导性，在合成基准测试中优于多种基线方法。

Comments Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 33 pages, 9 figures, including supplementary material

Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000

用于改进JPEG 2000中完全可扩展有损图像压缩的神经网络辅助提升步骤

Xinyue Li, Aous Naman, David Taubman

AI总结 该研究在JPEG 2000的小波变换中加入神经网络辅助提升步骤，经端到端训练后可在保留其可扩展性的同时，实现最高17.4%的平均BD码率节省，提升有损图像压缩性能。

Comments This work has been submitted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) for possible publication