Xiaochun Cao

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Tencent ∙ Peking University

Professor, Institute of Information Engineering

Transferable Adversarial Attacks for Image and Video Object Detection

Adversarial examples have been demonstrated to threaten many computer vi...
11/30/2018 ∙ by Xingxing Wei, et al. ∙ 8 ∙ share

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

Co-saliency detection aims to discover common and salient objects in an ...
11/16/2018 ∙ by Runmin Cong, et al. ∙ 6 ∙ share

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An Iterative Co-Saliency Framework for RGBD Images

As a newly emerging and significant topic in computer vision community, ...
11/04/2017 ∙ by Runmin Cong, et al. ∙ 0 ∙ share

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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...
10/14/2017 ∙ by Runmin Cong, et al. ∙ 0 ∙ share

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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...
10/14/2017 ∙ by Runmin Cong, et al. ∙ 0 ∙ share

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

Video deblurring is a challenging problem as the blur is complex and usu...
08/11/2017 ∙ by Wenqi Ren, et al. ∙ 0 ∙ share

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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...
02/28/2017 ∙ by Long Chen, et al. ∙ 0 ∙ share

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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 ...
05/19/2016 ∙ by Qianqian Xu, et al. ∙ 0 ∙ share

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CUNet: A Compact Unsupervised Network for Image Classification

In this paper, we propose a compact network called CUNet (compact unsupe...
07/06/2016 ∙ by Le Dong, et al. ∙ 0 ∙ share

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A Hierarchical Distributed Processing Framework for Big Image Data

This paper introduces an effective processing framework nominated ICP (I...
07/03/2016 ∙ by Le Dong, et al. ∙ 0 ∙ share

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Makeup like a superstar: Deep Localized Makeup Transfer Network

In this paper, we propose a novel Deep Localized Makeup Transfer Network...
04/25/2016 ∙ by Si Liu, et al. ∙ 0 ∙ share

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Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

This paper presents a novel quadratic projection based feature extractio...
03/25/2016 ∙ by Yan Yan, et al. ∙ 0 ∙ share

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Matching-CNN Meets KNN: Quasi-Parametric Human Parsing

Both parametric and non-parametric approaches have demonstrated encourag...
04/06/2015 ∙ by Si Liu, et al. ∙ 0 ∙ share

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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...
01/03/2018 ∙ by Huazhu Fu, et al. ∙ 0 ∙ share

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Fake Colorized Image Detection

Image forensics aims to detect the manipulation of digital images. Curre...
01/09/2018 ∙ by Yuanfang Guo, et al. ∙ 0 ∙ share

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

Learning representation from relative similarity comparisons, often call...
11/17/2017 ∙ by Ke Ma, et al. ∙ 0 ∙ share

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Gated Fusion Network for Single Image Dehazing

In this paper, we propose an efficient algorithm to directly restore a c...
03/31/2018 ∙ by Wenqi Ren, et al. ∙ 0 ∙ share

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Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

Glaucoma is a chronic eye disease that leads to irreversible vision loss...
05/19/2018 ∙ by Huazhu Fu, et al. ∙ 0 ∙ share

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

In this paper, we carry out a performance analysis from a probabilistic ...
07/18/2017 ∙ by Yuanfang Guo, et al. ∙ 0 ∙ share

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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...
03/08/2018 ∙ by Qianqian Xu, et al. ∙ 0 ∙ share

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ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

Deep neural networks (DNNs) have been demonstrated to be vulnerable to a...
11/30/2018 ∙ by Xiaojun Jia, et al. ∙ 0 ∙ share

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Robust Ordinal Embedding from Contaminated Relative Comparisons

Existing ordinal embedding methods usually follow a two-stage routine: o...
12/05/2018 ∙ by Ke Ma, et al. ∙ 0 ∙ share

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

In the absence of prior knowledge, ordinal embedding methods obtain new ...
12/05/2018 ∙ by Ke Ma, et al. ∙ 0 ∙ share

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Deep Robust Subjective Visual Property Prediction in Crowdsourcing

The problem of estimating subjective visual properties (SVP) of images (...
03/10/2019 ∙ by Qianqian Xu, et al. ∙ 0 ∙ share

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Single Image Deraining: A Comprehensive Benchmark Analysis

We present a comprehensive study and evaluation of existing single image...
03/20/2019 ∙ by Siyuan Li, et al. ∙ 0 ∙ share

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A Margin-based MLE for Crowdsourced Partial Ranking

A preference order or ranking aggregated from pairwise comparison data i...
07/29/2018 ∙ by Qianqian Xu, et al. ∙ 0 ∙ share

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Learning Personalized Attribute Preference via Multi-task AUC Optimization

Traditionally, most of the existing attribute learning methods are train...
06/18/2019 ∙ by Zhiyong Yang, et al. ∙ 0 ∙ share

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Identifying and Resisting Adversarial Videos Using Temporal Consistency

Video classification is a challenging task in computer vision. Although ...
09/11/2019 ∙ by Xiaojun Jia, et al. ∙ 0 ∙ share

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iSplit LBI: Individualized Partial Ranking with Ties via Split LBI

Due to the inherent uncertainty of data, the problem of predicting parti...
10/14/2019 ∙ by Qianqian Xu, et al. ∙ 0 ∙ share

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Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size

Learning representation from relative similarity comparisons, often call...
12/01/2019 ∙ by Ke Ma, et al. ∙ 0 ∙ share

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Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction

As an effective learning paradigm against insufficient training samples,...
04/29/2020 ∙ by Zhiyong Yang, et al. ∙ 0 ∙ share

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Xiaochun Cao

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