Low Rank Models For Multi Dimensional Data Recovery And Image Super Resolution

Low Rank Models for Multi-Dimensional Data Recovery and Image Super-Resolution

Computer Vision – ECCV 2024

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.

High-Dimensional Data Analysis with Low-Dimensional Models

Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.