Ting-Zhu Huang

Pre-Trained Low-Rank Tensor Decomposition for Multi-Dimensional Image Recovery

Recently, tensor decompositions are prevalent for multi-dimensional image representation, which learn the instance-specific structure of each image from scratch. However, tensor decompositions neglect the common structure across different images, leading to limited semantic modeling capability, high computational cost,...