106 citations · 296 across the 26 of their papers we have counts for
23 papers · 1 filter
Cut-and-Paste: Subject-Driven Video Editing with Attention Control
Zhichao Zuo, Zhao Zhang, Yan Luo +4
This paper presents a novel framework termed Cut-and-Paste for real-word semantic video editing under the guidance of text prompt and additional reference image. While the text-dri…
Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement
Yanyan Wei, Zhao Zhang, Jiahuan Ren +5
The generalization capability of existing image restoration and enhancement (IRE) methods is constrained by the limited pre-trained datasets, making it difficult to handle agnostic…
Long-Range Zero-Shot Generative Deep Network Quantization
Yan Luo, Yangcheng Gao, Zhao Zhang +3
Quantization approximates a deep network model with floating-point numbers by the one with low bit width numbers, in order to accelerate inference and reduce computation. Quantizin…
Seeing Through the Noisy Dark: Towards Real-world Low-Light Image Enhancement and Denoising
Jiahuan Ren, Zhao Zhang, Richang Hong +3
Low-light image enhancement (LLIE) aims at improving the illumination and visibility of dark images with lighting noise. To handle the real-world low-light images often with heavy…
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring
Suiyi Zhao, Zhao Zhang, Richang Hong +3
Blind image deblurring (BID) remains a challenging and significant task. Benefiting from the strong fitting ability of deep learning, paired data-driven supervised BID method has o…
Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering
Renhao Sun
Deep multi-view clustering methods have achieved remarkable performance. However, all of them failed to consider the difficulty labels (uncertainty of ground-truth for training sam…
Unsupervised Vehicle Re-identification with Progressive Adaptation
Jinjia Peng, Yang Wang, Huibing Wang +3
Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal…
Convolutional Dictionary Pair Learning Network for Image Representation Learning
Zhao Zhang, Yulin Sun, Yang Wang +3
Both the Dictionary Learning (DL) and Convolutional Neural Networks (CNN) are powerful image representation learning systems based on different mechanisms and principles, however w…
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…
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition
Zhao Zhang, Zemin Tang, Zheng Zhang +3
The Deep Convolutional Neural Networks (CNNs) have obtained a great success for pattern recognition, such as recognizing the texts in images. But existing CNNs based frameworks sti…
Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition
Zhao Zhang, Zemin Tang, Yang Wang +4
Deep Convolutional Neural Networks (CNNs), such as Dense Convolutional Networks (DenseNet), have achieved great success for image representation by discovering deep hierarchical in…
Compressed DenseNet for Lightweight Character Recognition
Zhao Zhang, Zemin Tang, Yang Wang +3
Convolutional Recurrent Neural Network (CRNN) is a popular network for recognizing texts in images. Advances like the variant of CRNN, such as Dense Convolutional Network with Conn…
DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking
Yanyan Wei, Zhao Zhang, Yang Wang +4
Single image deraining (SID) is an important and challenging topic in emerging vision applications, and most of emerged deraining methods are supervised relying on the ground truth…
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
Yulin Sun, Zhao Zhang, Weiming Jiang +4
In this paper, we propose a structured Robust Adaptive Dic-tionary Pair Learning (RA-DPL) framework for the discrim-inative sparse representation learning. To achieve powerful repr…
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…
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
Zhao Zhang, Lei Wang, Sheng Li +4
In this paper, we propose a robust representation learning model called Adaptive Structure-constrained Low-Rank Coding (AS-LRC) for the latent representation of data. To recover th…
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…
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
Zhao Zhang, Jiahuan Ren, Sheng Li +3
We propose a novel and unsupervised representation learning model, i.e., Robust Block-Diagonal Adaptive Locality-constrained Latent Representation (rBDLR). rBDLR is able to recover…
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning
Zhao Zhang, Jiahuan Ren, Weiming Jiang +4
We propose a joint subspace recovery and enhanced locality based robust flexible label consistent dictionary learning method called Robust Flexible Discriminative Dictionary Learni…
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…
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering
Zhao Zhang, Yan Zhang, Sheng Li +3
We investigate the high-dimensional data clustering problem by proposing a novel and unsupervised representation learning model called Robust Flexible Auto-weighted Local-coordinat…
Robust Subspace Clustering with Compressed Data
Guangcan Liu, Zhao Zhang, Qingshan Liu +1
Dimension reduction is widely regarded as an effective way for decreasing the computation, storage and communication loads of data-driven intelligent systems, leading to a growing…