Search Results for author: Xiaochun Cao

Found 72 papers, 23 papers with code

ADT-SSL: Adaptive Dual-Threshold for Semi-Supervised Learning

no code implementations21 May 2022 Zechen Liang, Yuan-Gen Wang, Wei Lu, Xiaochun Cao

Semi-Supervised Learning (SSL) has advanced classification tasks by inputting both labeled and unlabeled data to train a model jointly.

Detecting Recolored Image by Spatial Correlation

no code implementations23 Apr 2022 Yushu Zhang, Nuo Chen, Shuren Qi, Mingfu Xue, Xiaochun Cao

In this paper, we try to explore a solution from the perspective of the spatial correlation, which exhibits the generic detection capability for both conventional and deep learning-based recoloring.

Image Forensics Image Manipulation

LAS-AT: Adversarial Training with Learnable Attack Strategy

1 code implementation13 Mar 2022 Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

In this paper, we propose a novel framework for adversarial training by introducing the concept of "learnable attack strategy", dubbed LAS-AT, which learns to automatically produce attack strategies to improve the model robustness.

A Principled Design of Image Representation: Towards Forensic Tasks

1 code implementation2 Mar 2022 Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao

Image forensics is a rising topic as the trustworthy multimedia content is critical for modern society.

Image Forensics

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

no code implementations ICCV 2021 Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao

Extensive experiments demonstrate that our method can effectively and efficiently attack various popular object detectors, including anchor-based and anchor-free, and generate transferable adversarial examples.

Autonomous Driving Image Classification +1

Defending against Model Stealing via Verifying Embedded External Features

1 code implementation ICML Workshop AML 2021 Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

In this paper, we explore the defense from another angle by verifying whether a suspicious model contains the knowledge of defender-specified \emph{external features}.

Style Transfer

Diverse Message Passing for Attribute with Heterophily

no code implementations NeurIPS 2021 Liang Yang, Mengzhe Li, Liyang Liu, bingxin niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Based on this attribute homophily rate, we propose a Diverse Message Passing (DMP) framework, which specifies every attribute propagation weight on each edge.

Boosting Fast Adversarial Training with Learnable Adversarial Initialization

no code implementations11 Oct 2021 Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao

Adversarial training (AT) has been demonstrated to be effective in improving model robustness by leveraging adversarial examples for training.

An Effective and Robust Detector for Logo Detection

2 code implementations1 Aug 2021 Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei, Xiaochun Cao, Yong Zhang

Moreover, we have applied the proposed methods to competition ACM MM2021 Robust Logo Detection that is organized by Alibaba on the Tianchi platform and won top 2 in 36489 teams.

Data Augmentation

Learning with Multiclass AUC: Theory and Algorithms

no code implementations28 Jul 2021 Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang

Our foundation is based on the M metric, which is a well-known multiclass extension of AUC.

Recommendation Systems

Comprehensive Studies for Arbitrary-shape Scene Text Detection

no code implementations25 Jul 2021 Pengwen Dai, Xiaochun Cao

In this paper, we carefully examine and analyze the inconsistent settings, and propose a unified framework for the bottom-up based scene text detection methods.

Scene Text Detection

Poisoning Attack against Estimating from Pairwise Comparisons

1 code implementation5 Jul 2021 Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang

In this paper, to the best of our knowledge, we initiate the first systematic investigation of data poisoning attacks on pairwise ranking algorithms, which can be formalized as the dynamic and static games between the ranker and the attacker and can be modeled as certain kinds of integer programming problems.

Data Poisoning

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning

1 code implementation CVPR 2021 Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, Xiuyi Jia

To address the problem, we propose a novel network capable of real-time dehazing of 4K images on a single GPU, which consists of three deep CNNs.

Image Dehazing Single Image Dehazing

Progressive Contour Regression for Arbitrary-Shape Scene Text Detection

no code implementations CVPR 2021 Pengwen Dai, Sanyi Zhang, Hua Zhang, Xiaochun Cao

In the second stage, the contours of the oriented text proposals are iteratively regressed to arbitrarily shaped ones.

Scene Text Detection

Generate More Imperceptible Adversarial Examples for Object Detection

no code implementations ICML Workshop AML 2021 Siyuan Liang, Xingxing Wei, Xiaochun Cao

The existing attack methods have the following problems: 1) the training generator takes a long time and is difficult to extend to a large dataset; 2) the excessive destruction of the image features does not improve the black-box attack effect(the generated adversarial examples have poor transferability) and brings about visible perturbations.

Object Detection

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

no code implementations11 Apr 2021 Binyi Su, Zhong Zhou, Haiyong Chen, Xiaochun Cao

Moreover, we release a new solar cell EL image dataset named as EL-2019, which includes three types of images: crack, finger interruption and defect-free.

Defect Detection Image Generation

Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring

1 code implementation ICCV 2021 Senyou Deng, Wenqi Ren, Yanyang Yan, Tao Wang, Fenglong Song, Xiaochun Cao

Although recent research has witnessed a significant progress on the video deblurring task, these methods struggle to reconcile inference efficiency and visual quality simultaneously, especially on ultra-high-definition (UHD) videos (e. g., 4K resolution).

Deblurring

Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning

no code implementations ICCV 2021 Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Tao Wang, Xiuyi Jia

First, we propose a dual-path network to extract content and chromatic features at a reduced resolution of the low dynamic range (LDR) input.

HDR Reconstruction

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

2 code implementations26 Nov 2020 Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong

Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains an open and challenging problem.

Object Detection Salient Object Detection

Efficient Adversarial Attacks for Visual Object Tracking

no code implementations ECCV 2020 Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao

In this paper, we analyze the weakness of object trackers based on the Siamese network and then extend adversarial examples to visual object tracking.

Visual Object Tracking Visual Tracking

Face Super-Resolution Guided by 3D Facial Priors

1 code implementation ECCV 2020 Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu

State-of-the-art face super-resolution methods employ deep convolutional neural networks to learn a mapping between low- and high- resolution facial patterns by exploring local appearance knowledge.

Super-Resolution

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction

no code implementations29 Apr 2020 Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

To this end, we propose a novel multi-task learning method called Task-Feature Collaborative Learning (TFCL).

Multi-Task Learning

DM2C: Deep Mixed-Modal Clustering

1 code implementation NeurIPS 2019 Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Instead of transforming all the samples into a joint modality-independent space, our framework learns the mappings across individual modal spaces by virtue of cycle-consistency.

Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer

1 code implementation NeurIPS 2019 Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

Different from most of the previous work, pursuing the Block-Diagonal structure of LTAM (assigning latent tasks to output tasks) alleviates negative transfer via collaboratively grouping latent tasks and output tasks such that inter-group knowledge transfer and sharing is suppressed.

Multi-Task Learning

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size

no code implementations1 Dec 2019 Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan YAO

Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years.

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI

1 code implementation NeurIPS 2019 Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan YAO

In this paper, instead of learning a global ranking which is agreed with the consensus, we pursue the tie-aware partial ranking from an individualized perspective.

Identifying and Resisting Adversarial Videos Using Temporal Consistency

no code implementations11 Sep 2019 Xiaojun Jia, Xingxing Wei, Xiaochun Cao

We propose the temporal defense, which reconstructs the polluted frames with their temporally neighbor clean frames, to deal with the adversarial videos with sparse polluted frames.

Video Classification

Learning Personalized Attribute Preference via Multi-task AUC Optimization

no code implementations18 Jun 2019 Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Traditionally, most of the existing attribute learning methods are trained based on the consensus of annotations aggregated from a limited number of annotators.

Single Image Deraining: A Comprehensive Benchmark Analysis

1 code implementation CVPR 2019 Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao

We present a comprehensive study and evaluation of existing single image deraining algorithms, using a new large-scale benchmark consisting of both synthetic and real-world rainy images. This dataset highlights diverse data sources and image contents, and is divided into three subsets (rain streak, rain drop, rain and mist), each serving different training or evaluation purposes.

Single Image Deraining

Deep Robust Subjective Visual Property Prediction in Crowdsourcing

no code implementations CVPR 2019 Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan YAO

The problem of estimating subjective visual properties (SVP) of images (e. g., Shoes A is more comfortable than B) is gaining rising attention.

Robust Ordinal Embedding from Contaminated Relative Comparisons

1 code implementation5 Dec 2018 Ke Ma, Qianqian Xu, Xiaochun Cao

Existing ordinal embedding methods usually follow a two-stage routine: outlier detection is first employed to pick out the inconsistent comparisons; then an embedding is learned from the clean data.

Outlier Detection

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

1 code implementation5 Dec 2018 Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

To address the issue of insufficient training samples, we propose a margin distribution learning paradigm for ordinal embedding, entitled Distributional Margin based Ordinal Embedding (\textit{DMOE}).

Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation

no code implementations NeurIPS 2018 Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, WangMeng Zuo, Wei Liu, Ming-Hsuan Yang

In this paper, we present a deep convolutional neural network to capture the inherent properties of image degradation, which can handle different kernels and saturated pixels in a unified framework.

Deblurring

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

1 code implementation CVPR 2019 Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh

In other words, ComDefend can transform the adversarial image to its clean version, which is then fed to the trained classifier.

Image Compression

Transferable Adversarial Attacks for Image and Video Object Detection

2 code implementations30 Nov 2018 Xingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao

Adversarial examples have been demonstrated to threaten many computer vision tasks including object detection.

Video Object Detection

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

no code implementations16 Nov 2018 Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, Nam Ling

In this paper, we propose a novel co-saliency detection method for RGBD images based on hierarchical sparsity reconstruction and energy function refinement.

Co-Salient Object Detection

A Margin-based MLE for Crowdsourced Partial Ranking

no code implementations29 Jul 2018 Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan YAO

A preference order or ranking aggregated from pairwise comparison data is commonly understood as a strict total order.

Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

3 code implementations19 May 2018 Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao

Specifically, a novel Disc-aware Ensemble Network (DENet) for automatic glaucoma screening is proposed, which integrates the deep hierarchical context of the global fundus image and the local optic disc region.

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

no code implementations8 Mar 2018 Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan YAO

In crowdsourced preference aggregation, it is often assumed that all the annotators are subject to a common preference or social utility function which generates their comparison behaviors in experiments.

Fake Colorized Image Detection

no code implementations9 Jan 2018 Yuanfang Guo, Xiaochun Cao, Wei zhang, Rui Wang

Based on our observations, i. e., potential traces in the hue, saturation, dark and bright channels, we propose two simple yet effective detection methods for fake colorized images: Histogram based Fake Colorized Image Detection (FCID-HIST) and Feature Encoding based Fake Colorized Image Detection (FCID-FE).

Multimedia

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

3 code implementations3 Jan 2018 Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao

The proposed M-Net mainly consists of multi-scale input layer, U-shape convolutional network, side-output layer, and multi-label loss function.

From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions

no code implementations18 Nov 2017 Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

However, both categories ignore the joint effect of the two mentioned factors: the personal diversity with respect to the global consensus; and the intrinsic correlation among multiple attributes.

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

1 code implementation17 Nov 2017 Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan YAO

Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years.

An Iterative Co-Saliency Framework for RGBD Images

no code implementations4 Nov 2017 Runmin Cong, Jianjun Lei, Huazhu Fu, Weisi Lin, Qingming Huang, Xiaochun Cao, Chunping Hou

In this paper, we propose an iterative RGBD co-saliency framework, which utilizes the existing single saliency maps as the initialization, and generates the final RGBD cosaliency map by using a refinement-cycle model.

Co-Salient Object Detection

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

no code implementations14 Oct 2017 Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, Chunping Hou

Different from the most existing co-saliency methods focusing on RGB images, this paper proposes a novel co-saliency detection model for RGBD images, which utilizes the depth information to enhance identification of co-saliency.

Co-Salient Object Detection

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

no code implementations ICCV 2017 Wenqi Ren, Jinshan Pan, Xiaochun Cao, Ming-Hsuan Yang

We analyze the relationship between motion blur trajectory and optical flow, and present a novel pixel-wise non-linear kernel model to account for motion blur.

Deblurring Frame +2

Binarized Mode Seeking for Scalable Visual Pattern Discovery

no code implementations CVPR 2017 Wei Zhang, Xiaochun Cao, Rui Wang, Yuanfang Guo, Zhineng Chen

Second, we further extend bMS to a more general form, namely contrastive binary mean shift (cbMS), which maximizes the contrastive density in binary space, for finding informative patterns that are both frequent and discriminative for the dataset.

Latent Multi-View Subspace Clustering

no code implementations CVPR 2017 Changqing Zhang, QinGhua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao

In this paper, we propose a novel Latent Multi-view Subspace Clustering (LMSC) method, which clusters data points with latent representation and simultaneously explores underlying complementary information from multiple views.

Multi-view Subspace Clustering

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

no code implementations28 Feb 2017 Long Chen, Junyu Dong, Shengke Wang, Kin-Man Lam, Muwei Jian, Hua Zhang, Xiaochun Cao

To bridge this gap, we introduce a cascaded structure to eliminate background and exploit a one-vs-rest loss to capture more minute variances among different subordinate categories.

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation

no code implementations12 Jul 2016 Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan YAO

In crowdsourced preference aggregation, it is often assumed that all the annotators are subject to a common preference or utility function which generates their comparison behaviors in experiments.

CUNet: A Compact Unsupervised Network for Image Classification

no code implementations6 Jul 2016 Le Dong, Ling He, Gaipeng Kong, Qianni Zhang, Xiaochun Cao, Ebroul Izquierdo

In this paper, we propose a compact network called CUNet (compact unsupervised network) to counter the image classification challenge.

Classification General Classification +1

A Hierarchical Distributed Processing Framework for Big Image Data

no code implementations3 Jul 2016 Le Dong, Zhiyu Lin, Yan Liang, Ling He, Ning Zhang, Qi Chen, Xiaochun Cao, Ebroul lzquierdo

The proposed ICP framework consists of two mechanisms, i. e. SICP (Static ICP) and DICP (Dynamic ICP).

SketchNet: Sketch Classification With Web Images

no code implementations CVPR 2016 Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao

In this study, we present a weakly supervised approach that discovers the discriminative structures of sketch images, given pairs of sketch images and web images.

Classification General Classification

Structural Correlation Filter for Robust Visual Tracking

no code implementations CVPR 2016 Si Liu, Tianzhu Zhang, Xiaochun Cao, Changsheng Xu

In this paper, we propose a novel structural correlation filter (SCF) model for robust visual tracking.

Visual Tracking

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

no code implementations19 May 2016 Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan YAO

With the rapid growth of crowdsourcing platforms it has become easy and relatively inexpensive to collect a dataset labeled by multiple annotators in a short time.

Makeup like a superstar: Deep Localized Makeup Transfer Network

no code implementations25 Apr 2016 Si Liu, Xinyu Ou, Ruihe Qian, Wei Wang, Xiaochun Cao

In this paper, we propose a novel Deep Localized Makeup Transfer Network to automatically recommend the most suitable makeup for a female and synthesis the makeup on her face.

Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

no code implementations25 Mar 2016 Yan Yan, Hanzi Wang, Si Chen, Xiaochun Cao, David Zhang

This paper presents a novel quadratic projection based feature extraction framework, where a set of quadratic matrices is learned to distinguish each class from all other classes.

Low-Rank Tensor Constrained Multiview Subspace Clustering

no code implementations ICCV 2015 Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao

We introduce a low-rank tensor constraint to explore the complementary information from multiple views and, accordingly, establish a novel method called Low-rank Tensor constrained Multiview Subspace Clustering (LT-MSC).

Diversity-Induced Multi-View Subspace Clustering

no code implementations CVPR 2015 Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, Hua Zhang

In this paper, we focus on how to boost the multi-view clustering by exploring the complementary information among multi-view features.

Face Clustering Multi-view Subspace Clustering

Matching-CNN Meets KNN: Quasi-Parametric Human Parsing

no code implementations CVPR 2015 Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan

Under the classic K Nearest Neighbor (KNN)-based nonparametric framework, the parametric Matching Convolutional Neural Network (M-CNN) is proposed to predict the matching confidence and displacements of the best matched region in the testing image for a particular semantic region in one KNN image.

Human Parsing

Evaluating Visual Properties via Robust HodgeRank

no code implementations15 Aug 2014 Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan YAO

In this paper we study the problem of how to estimate such visual properties from a ranking perspective with the help of the annotators from online crowdsourcing platforms.

Graph Sampling Outlier Detection

Sparse Dictionary Learning for Edit Propagation of High-Resolution Images

no code implementations CVPR 2014 Xiaowu Chen, Dongqing Zou, Jianwei Li, Xiaochun Cao, Qinping Zhao, Hao Zhang

Previous approaches for edit propagation typically employ a global optimization over the whole set of image pixels, incurring a prohibitively high memory and time consumption for high-resolution images.

Dictionary Learning

Robust Separation of Reflection from Multiple Images

no code implementations CVPR 2014 Xiaojie Guo, Xiaochun Cao, Yi Ma

When one records a video/image sequence through a transparent medium (e. g. glass), the image is often a superposition of a transmitted layer (scene behind the medium) and a reflected layer.

Video Editing with Temporal, Spatial and Appearance Consistency

no code implementations CVPR 2013 Xiaojie Guo, Xiaochun Cao, Xiaowu Chen, Yi Ma

Given an area of interest in a video sequence, one may want to manipulate or edit the area, e. g. remove occlusions from or replace with an advertisement on it.

Frame Image Matting

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