106 citations · 181 across the 29 of their papers we have counts for
30 papers
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection
Hao Wang, Jiqing Zhang, Xin Yang +4
Camouflaged Object Detection (COD) aims to segment objects that blend seamlessly into complex backgrounds, with growing interest in exploiting additional visual modalities to enhan…
Boosting Adversarial Transferability via Residual Perturbation Attack
Jinjia Peng, Zeze Tao, Huibing Wang +2
Deep neural networks are susceptible to adversarial examples while suffering from incorrect predictions via imperceptible perturbations. Transfer-based attacks create adversarial e…
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering
Yawei Chen, Huibing Wang, Jinjia Peng +1
Anchor-based multi-view clustering (MVC) has received extensive attention due to its efficient performance. Existing methods only focus on how to dynamically learn anchors from the…
Unsupervised Domain Adaptive Person Search via Dual Self-Calibration
Linfeng Qi, Huibing Wang, Jiqing Zhang +2
Unsupervised Domain Adaptive (UDA) person search focuses on employing the model trained on a labeled source domain dataset to a target domain dataset without any additional annotat…
Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance
Huibing Wang, Mingze Yao, Yawei Chen +5
Incomplete multi-view clustering primarily focuses on dividing unlabeled data into corresponding categories with missing instances, and has received intensive attention due to its…
Scene-Adaptive Person Search via Bilateral Modulations
Yimin Jiang, Huibing Wang, Jinjia Peng +2
Person search aims to localize specific a target person from a gallery set of images with various scenes. As the scene of moving pedestrian changes, the captured person image inevi…
Fast One-Stage Unsupervised Domain Adaptive Person Search
Tianxiang Cui, Huibing Wang, Jinjia Peng +3
Unsupervised person search aims to localize a particular target person from a gallery set of scene images without annotations, which is extremely challenging due to the unexpected…
Domain Adaptive Person Search via GAN-based Scene Synthesis for Cross-scene Videos
Huibing Wang, Tianxiang Cui, Mingze Yao +2
Person search has recently been a challenging task in the computer vision domain, which aims to search specific pedestrians from real cameras.Nevertheless, most surveillance videos…
Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering
Huibing Wang, Mingze Yao, Guangqi Jiang +2
Unsupervised hashing methods have attracted widespread attention with the explosive growth of large-scale data, which can greatly reduce storage and computation by learning compact…
A unified framework based on graph consensus term for multi-view learning
Xiangzhu Meng, Lin Feng, Chonghui Guo
In recent years, multi-view learning technologies for various applications have attracted a surge of interest. Due to more compatible and complementary information from multiple vi…
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…
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte +43
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification
Huibing Wang, Jinjia Peng, Guangqi Jiang +2
With the development of smart cities, urban surveillance video analysis will play a further significant role in intelligent transportation systems. Identifying the same target vehi…
Purifying Real Images with an Attention-guided Style Transfer Network for Gaze Estimation
Yuxiao Yan, Yang Yan, Jinjia Peng +2
Recently, the progress of learning-by-synthesis has proposed a training model for synthetic images, which can effectively reduce the cost of human and material resources. However,…
Attribute-guided Feature Learning Network for Vehicle Re-identification
Huibing Wang, Jinjia Peng, Dongyan Chen +3
Vehicle re-identification (reID) plays an important role in the automatic analysis of the increasing urban surveillance videos, which has become a hot topic in recent years. Howeve…
Eliminating cross-camera bias for vehicle re-identification
Jinjia Peng, Guangqi Jiang, Dongyan Chen +3
Vehicle re-identification (reID) often requires recognize a target vehicle in large datasets captured from multi-cameras. It plays an important role in the automatic analysis of th…
Graph-based Multi-view Binary Learning for Image Clustering
Guangqi Jiang, Huibing Wang, Jinjia Peng +2
Hashing techniques, also known as binary code learning, have recently gained increasing attention in large-scale data analysis and storage. Generally, most existing hash clustering…
Kernelized Multiview Subspace Analysis by Self-weighted Learning
Huibing Wang, Yang Wang, Zhao Zhang +4
With the popularity of multimedia technology, information is always represented or transmitted from multiple views. Most of the existing algorithms are graph-based ones to learn th…
A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model
Haohao Li, Huibing Wang
Over the past few decades, we have witnessed a large family of algorithms that have been designed to provide different solutions to the problem of dimensionality reduction (DR). Th…
Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification
Jinjia Peng, Huibing Wang, Xianping Fu
The widespread popularization of vehicles has facilitated all people's life during the last decades. However, the emergence of a large number of vehicles poses the critical but cha…
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction
Huibing Wang, Jinjia Peng, Xianping Fu
With the development of information technology, we have witnessed an age of data explosion which produces a large variety of data filled with redundant information. Because dimensi…
Mask-guided Style Transfer Network for Purifying Real Images
Tongtong Zhao, Yuxiao Yan, Jinjia Peng +2
Recently, the progress of learning-by-synthesis has proposed a training model for synthetic images, which can effectively reduce the cost of human and material resources. However,…
Cross Domain Knowledge Transfer for Unsupervised Vehicle Re-identification
Jinjia Peng, Huibing Wang, Tongtong Zhao +1
Vehicle re-identification (reID) is to identify a target vehicle in different cameras with non-overlapping views. When deploy the well-trained model to a new dataset directly, ther…