b'Xiaochun Cao'

research

∙ 05/18/2023

Towards an Accurate and Secure Detector against Adversarial Perturbations

The vulnerability of deep neural networks to adversarial perturbations h...

0 Chao Wang, et al. ∙

research

∙ 05/11/2023

Inter-frame Accelerate Attack against Video Interpolation Models

Deep learning based video frame interpolation (VIF) method, aiming to sy...

0 Junpei Liao, et al. ∙

research

∙ 05/10/2023

FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature

Federated learning allows multiple parties to collaborate in learning a ...

0 Wenyuan Yang, et al. ∙

research

∙ 05/08/2023

FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof

Federated learning (FL) allows multiple parties to cooperatively learn a...

0 Wenyuan Yang, et al. ∙

research

∙ 05/07/2023

LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity

Heterophily has been considered as an issue that hurts the performance o...

0 Yuhan Chen, et al. ∙

research

∙ 03/29/2023

Visual Content Privacy Protection: A Survey

Vision is the most important sense for people, and it is also one of the...

0 Ruoyu Zhao, et al. ∙

research

∙ 01/18/2023

Representing Noisy Image Without Denoising

A long-standing topic in artificial intelligence is the effective recogn...

11 Shuren Qi, et al. ∙

research

∙ 11/05/2022

A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal

Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Q...

0 PetsTime, et al. ∙

research

∙ 10/31/2022

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning

The permutation flow shop scheduling (PFSS), aiming at finding the optim...

0 Longkang Li, et al. ∙

research

∙ 10/06/2022

CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection

Focusing on the issue of how to effectively capture and utilize cross-mo...

8 Runmin Cong, et al. ∙

research

∙ 09/20/2022

Rethinking Data Augmentation in Knowledge Distillation for Object Detection

Knowledge distillation (KD) has shown its effectiveness for object detec...

0 Jiawei Liang, et al. ∙

research

∙ 09/19/2022

Adaptive 3D Mesh Steganography Based on Feature-Preserving Distortion

3D mesh steganographic algorithms based on geometric modification are vu...

0 Yushu Zhang, et al. ∙

research

∙ 09/16/2022

A Large-scale Multiple-objective Method for Black-box Attack against Object Detection

Recent studies have shown that detectors based on deep models are vulner...

0 Siyuan Liang, et al. ∙

research

∙ 09/13/2022

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game

Rank aggregation with pairwise comparisons has shown promising results i...

0 Ke Ma, et al. ∙

research

∙ 08/04/2022

MOVE: Effective and Harmless Ownership Verification via Embedded External Features

Currently, deep neural networks (DNNs) are widely adopted in different a...

0 Yiming Li, et al. ∙

research

∙ 07/18/2022

Prior-Guided Adversarial Initialization for Fast Adversarial Training

Fast adversarial training (FAT) effectively improves the efficiency of s...

0 Xiaojun Jia, et al. ∙

research

∙ 07/17/2022

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal

As a common security tool, visible watermarking has been widely applied ...

12 Xinwei Liu, et al. ∙

research

∙ 07/14/2022

AIParsing: Anchor-free Instance-level Human Parsing

Most state-of-the-art instance-level human parsing models adopt two-stag...

0 Sanyi Zhang, et al. ∙

research

∙ 06/24/2022

Geometry Interaction Knowledge Graph Embeddings

Knowledge graph (KG) embeddings have shown great power in learning repre...

0 Zongsheng Cao, et al. ∙

research

∙ 06/23/2022

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling

The recently proposed Collaborative Metric Learning (CML) paradigm has a...

0 Shilong Bao, et al. ∙

research

∙ 06/17/2022

Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval

Our goal in this research is to study a more realistic environment in wh...

0 Xiao Dong, et al. ∙

research

∙ 05/21/2022

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

Semi-Supervised Learning (SSL) has advanced classification tasks by inpu...

0 Zechen Liang, et al. ∙

research

∙ 03/13/2022

LAS-AT: Adversarial Training with Learnable Attack Strategy

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

0 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 ...

1 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...

0 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...

0 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...

7 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, ...

0 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...

59 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...

0 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...

0 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...

0 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...

12 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 ...

0 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...

60 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...

0 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...

0 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...

0 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...

15 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,...

1 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...

0 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...

1 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 ...

0 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...

0 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...

0 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 (...

0 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...

0 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 ...

0 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...

0 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...

8 Xingxing Wei, et al. ∙

Xiaochun Cao

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