3.7k citations · 4.1k across the 25 of their papers we have counts for
14 papers · 1 filter
Auto-Focus Contrastive Learning for Image Manipulation Detection
Wenyan Pan, Zhili Zhou, Guangcan Liu +3
Generally, current image manipulation detection models are simply built on manipulation traces. However, we argue that those models achieve sub-optimal detection performance as it…
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery
Xianzhen Li, Zhao Zhang, Yang Wang +3
For subspace recovery, most existing low-rank representation (LRR) models performs in the original space in single-layer mode. As such, the deep hierarchical information cannot be…
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
Zhao Zhang, Yan Zhang, Sheng Li +4
Concept Factorization (CF) and its variants may produce inaccurate representation and clustering results due to the sensitivity to noise, hard constraint on the reconstruction erro…
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
Zhao Zhang, Yulin Sun, Zheng Zhang +3
In this paper, we extend the popular dictionary pair learning (DPL) into the scenario of twin-projective latent flexible DPL under a structured twin-incoherence. Technically, a nov…
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification
Zhao Zhang, Lei Jia, Mingbo Zhao +3
Kernel methods have been successfully applied to the areas of pattern recognition and data mining. In this paper, we mainly discuss the issue of propagating labels in kernel space.…
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
Zhao Zhang, Yan Zhang, Guangcan Liu +3
Constrained Concept Factorization (CCF) yields the enhanced representation ability over CF by incorporating label information as additional constraints, but it cannot classify and…