b'Xiaochun Cao'

research

∙ 03/13/2022

LAS-AT: Adversarial Training with Learnable Attack Strategy

Adversarial training (AT) is always formulated as a minimax problem, of ...

Xiaojun Jia, et al. ∙

research

∙ 03/02/2022

A Principled Design of Image Representation: Towards Forensic Tasks

Image forensics is a rising topic as the trustworthy multimedia content ...

Shuren Qi, et al. ∙

research

∙ 01/22/2022

Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection

Object detection has been widely used in many safety-critical tasks, suc...

Siyuan Liang, et al. ∙

research

∙ 12/07/2021

Defending against Model Stealing via Verifying Embedded External Features

Obtaining a well-trained model involves expensive data collection and tr...

Yiming Li, et al. ∙

research

∙ 10/11/2021

Boosting Fast Adversarial Training with Learnable Adversarial Initialization

Adversarial training (AT) has been demonstrated to be effective in impro...

Xiaojun Jia, et al. ∙

research

∙ 08/01/2021

An Effective and Robust Detector for Logo Detection

In recent years, intellectual property (IP), which represents literary, ...

Xiaojun Jia, et al. ∙

research

∙ 07/28/2021

Learning with Multiclass AUC: Theory and Algorithms

The Area under the ROC curve (AUC) is a well-known ranking metric for pr...

Zhiyong Yang, et al. ∙

research

∙ 07/25/2021

Comprehensive Studies for Arbitrary-shape Scene Text Detection

Numerous scene text detection methods have been proposed in recent years...

Pengwen Dai, et al. ∙

research

∙ 07/05/2021

Poisoning Attack against Estimating from Pairwise Comparisons

As pairwise ranking becomes broadly employed for elections, sports compe...

Ke Ma, et al. ∙

research

∙ 04/11/2021

SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation

Solar cell electroluminescence (EL) defect segmentation is an interestin...

Binyi Su, et al. ∙

research

∙ 03/27/2021

A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation

Image representation is an important topic in computer vision and patter...

Shuren Qi, et al. ∙

research

∙ 11/26/2020

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

Despite the remarkable advances in visual saliency analysis for natural ...

Qijian Zhang, et al. ∙

research

∙ 11/12/2020

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

Uncertainty quantification (UQ) plays a pivotal role in reduction of unc...

Moloud Abdar, et al. ∙

research

∙ 08/20/2020

Single Image Super-Resolution via a Holistic Attention Network

Informative features play a crucial role in the single image super-resol...

Ben Niu, et al. ∙

research

∙ 08/05/2020

Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples

Recent research has demonstrated that adding some imperceptible perturba...

Xiaojun Jia, et al. ∙

research

∙ 08/01/2020

Efficient Adversarial Attacks for Visual Object Tracking

Visual object tracking is an important task that requires the tracker to...

Siyuan Liang, et al. ∙

research

∙ 07/18/2020

Face Super-Resolution Guided by 3D Facial Priors

State-of-the-art face super-resolution methods employ deep convolutional...

Xiaobin Hu, et al. ∙

research

∙ 04/29/2020

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction

As an effective learning paradigm against insufficient training samples,...

Zhiyong Yang, et al. ∙

research

∙ 12/01/2019

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size

Learning representation from relative similarity comparisons, often call...

Ke Ma, et al. ∙

research

∙ 10/14/2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI

Due to the inherent uncertainty of data, the problem of predicting parti...

Qianqian Xu, et al. ∙

research

∙ 09/11/2019

Identifying and Resisting Adversarial Videos Using Temporal Consistency

Video classification is a challenging task in computer vision. Although ...

Xiaojun Jia, et al. ∙

research

∙ 06/18/2019

Learning Personalized Attribute Preference via Multi-task AUC Optimization

Traditionally, most of the existing attribute learning methods are train...

Zhiyong Yang, et al. ∙

research

∙ 03/20/2019

Single Image Deraining: A Comprehensive Benchmark Analysis

We present a comprehensive study and evaluation of existing single image...

Siyuan Li, et al. ∙

research

∙ 03/10/2019

Deep Robust Subjective Visual Property Prediction in Crowdsourcing

The problem of estimating subjective visual properties (SVP) of images (...

Qianqian Xu, et al. ∙

research

∙ 12/05/2018

Robust Ordinal Embedding from Contaminated Relative Comparisons

Existing ordinal embedding methods usually follow a two-stage routine: o...

Ke Ma, et al. ∙

research

∙ 12/05/2018

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin

In the absence of prior knowledge, ordinal embedding methods obtain new ...

Ke Ma, et al. ∙

research

∙ 11/30/2018

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

Deep neural networks (DNNs) have been demonstrated to be vulnerable to a...

Xiaojun Jia, et al. ∙

research

∙ 11/30/2018

Transferable Adversarial Attacks for Image and Video Object Detection

Adversarial examples have been demonstrated to threaten many computer vi...

Xingxing Wei, et al. ∙

research

∙ 11/16/2018

HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images

Co-saliency detection aims to discover common and salient objects in an ...

Runmin Cong, et al. ∙

research

∙ 07/29/2018

A Margin-based MLE for Crowdsourced Partial Ranking

A preference order or ranking aggregated from pairwise comparison data i...

Qianqian Xu, et al. ∙

research

∙ 05/19/2018

Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

Glaucoma is a chronic eye disease that leads to irreversible vision loss...

Huazhu Fu, et al. ∙

research

∙ 03/31/2018

Gated Fusion Network for Single Image Dehazing

In this paper, we propose an efficient algorithm to directly restore a c...

Wenqi Ren, et al. ∙

research

∙ 03/08/2018

From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation

In crowdsourced preference aggregation, it is often assumed that all the...

Qianqian Xu, et al. ∙

research

∙ 01/09/2018

Fake Colorized Image Detection

Image forensics aims to detect the manipulation of digital images. Curre...

Yuanfang Guo, et al. ∙

research

∙ 01/03/2018

Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation

Glaucoma is a chronic eye disease that leads to irreversible vision loss...

Huazhu Fu, et al. ∙

research

∙ 11/17/2017

Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size

Learning representation from relative similarity comparisons, often call...

Ke Ma, et al. ∙

research

∙ 11/04/2017

An Iterative Co-Saliency Framework for RGBD Images

As a newly emerging and significant topic in computer vision community, ...

Runmin Cong, et al. ∙

research

∙ 10/14/2017

Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion

Stereoscopic perception is an important part of human visual system that...

Runmin Cong, et al. ∙

research

∙ 10/14/2017

Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation

Co-saliency detection aims at extracting the common salient regions from...

Runmin Cong, et al. ∙

research

∙ 08/11/2017

Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel

Video deblurring is a challenging problem as the blur is complex and usu...

Wenqi Ren, et al. ∙

research

∙ 07/18/2017

Halftone Image Watermarking by Content Aware Double-sided Embedding Error Diffusion

In this paper, we carry out a performance analysis from a probabilistic ...

Yuanfang Guo, et al. ∙

research

∙ 02/28/2017

Cascade one-vs-rest detection network for fine-grained recognition without part annotations

Fine-grained recognition is a challenging task due to the small intra-ca...

Long Chen, et al. ∙

research

∙ 07/06/2016

CUNet: A Compact Unsupervised Network for Image Classification

In this paper, we propose a compact network called CUNet (compact unsupe...

Le Dong, et al. ∙

research

∙ 07/03/2016

A Hierarchical Distributed Processing Framework for Big Image Data

This paper introduces an effective processing framework nominated ICP (I...

Le Dong, et al. ∙

research

∙ 05/19/2016

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

With the rapid growth of crowdsourcing platforms it has become easy and ...

Qianqian Xu, et al. ∙

research

∙ 04/25/2016

Makeup like a superstar: Deep Localized Makeup Transfer Network

In this paper, we propose a novel Deep Localized Makeup Transfer Network...

Si Liu, et al. ∙

research

∙ 03/25/2016

Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

This paper presents a novel quadratic projection based feature extractio...

Yan Yan, et al. ∙

research

∙ 04/06/2015

Matching-CNN Meets KNN: Quasi-Parametric Human Parsing

Both parametric and non-parametric approaches have demonstrated encourag...

Si Liu, et al. ∙

Xiaochun Cao

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