20 citations · 30 across the 11 of their papers we have counts for
11 papers
The power of small initialization in noisy low-tubal-rank tensor recovery
ZHiyu Liu, Haobo Geng, Xudong Wang +3
We study the problem of recovering a low-tubal-rank tensor from noisy linear measurements under the t-product framework. A…
Efficient Low-Tubal-Rank Tensor Estimation via Alternating Preconditioned Gradient Descent
Zhiyu Liu, Zhi Han, Yandong Tang +2
The problem of low-tubal-rank tensor estimation is a fundamental task with wide applications across high-dimensional signal processing, machine learning, and image science. Traditi…
Diverse Representation Embedding for Lifelong Person Re-Identification
Shiben Liu, Huijie Fan, Qiang Wang +3
Lifelong Person Re-Identification (LReID) aims to continuously learn from successive data streams, matching individuals across multiple cameras. The key challenge for LReID is how…
Review helps learn better: Temporal Supervised Knowledge Distillation
Dongwei Wang, Zhi Han, Yanmei Wang +3
Reviewing plays an important role when learning knowledge. The knowledge acquisition at a certain time point may be strongly inspired with the help of previous experience. Thus the…
Joint Counting, Detection and Re-Identification for Multi-Object Tracking
Weihong Ren, Denglu Wu, Hui Cao +3
The recent trend in 2D multiple object tracking (MOT) is jointly solving detection and tracking, where object detection and appearance feature (or motion) are learned simultaneousl…
CCR: Facial Image Editing with Continuity, Consistency and Reversibility
Nan Yang, Xin Luan, Huidi Jia +2
Three problems exist in sequential facial image editing: incontinuous editing, inconsistent editing, and irreversible editing. Incontinuous editing is that the current editing can…
Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation
Yang Zhang, Yao Wang, Zhi Han +2
In recent years, there have been an increasing number of applications of tensor completion based on the tensor train (TT) format because of its efficiency and effectiveness in deal…
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
Zhi Han, Siquan Yu, Shao-Bo Lin +1
Deep learning is recognized to be capable of discovering deep features for representation learning and pattern recognition without requiring elegant feature engineering techniques…
A General Model for Robust Tensor Factorization with Unknown Noise
Xi'ai Chen, Zhi Han, Yao Wang +4
Because of the limitations of matrix factorization, such as losing spatial structure information, the concept of low-rank tensor factorization (LRTF) has been applied for the recov…
Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization
Shiying He, Haiwei Zhou, Yao Wang +2
In this paper, we propose a novel approach to hyperspectral image super-resolution by modeling the global spatial-and-spectral correlation and local smoothness properties over hype…
Pixel-wise Orthogonal Decomposition for Color Illumination Invariant and Shadow-free Image
Liangqiong Qu, Jiandong Tian, Zhi Han +1
In this paper, we propose a novel, effective and fast method to obtain a color illumination invariant and shadow-free image from a single outdoor image. Different from state-of-the…