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08/22/2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
Fast Adversarial Training (FAT) not only improves the model robustness b...
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06/28/2023
Content-Aware Quantization Index Modulation:Leveraging Data Statistics for Enhanced Image Watermarking
Image watermarking techniques have continuously evolved to address new c...
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05/18/2023
Towards an Accurate and Secure Detector against Adversarial Perturbations
The vulnerability of deep neural networks to adversarial perturbations h...
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05/11/2023
Inter-frame Accelerate Attack against Video Interpolation Models
Deep learning based video frame interpolation (VIF) method, aiming to sy...
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05/10/2023
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature
Federated learning allows multiple parties to collaborate in learning a ...
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05/08/2023
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof
Federated learning (FL) allows multiple parties to cooperatively learn a...
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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...
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03/29/2023
Visual Content Privacy Protection: A Survey
Vision is the most important sense for people, and it is also one of the...
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01/18/2023
Representing Noisy Image Without Denoising
A long-standing topic in artificial intelligence is the effective recogn...
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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...
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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...
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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...
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09/20/2022
Rethinking Data Augmentation in Knowledge Distillation for Object Detection
Knowledge distillation (KD) has shown its effectiveness for object detec...
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09/19/2022
Adaptive 3D Mesh Steganography Based on Feature-Preserving Distortion
3D mesh steganographic algorithms based on geometric modification are vu...
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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...
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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...
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08/04/2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Currently, deep neural networks (DNNs) are widely adopted in different a...
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07/18/2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Fast adversarial training (FAT) effectively improves the efficiency of s...
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07/17/2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
As a common security tool, visible watermarking has been widely applied ...
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07/14/2022
AIParsing: Anchor-free Instance-level Human Parsing
Most state-of-the-art instance-level human parsing models adopt two-stag...
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06/24/2022
Geometry Interaction Knowledge Graph Embeddings
Knowledge graph (KG) embeddings have shown great power in learning repre...
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06/23/2022
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling
The recently proposed Collaborative Metric Learning (CML) paradigm has a...
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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...
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05/21/2022
ADT-SSL: Adaptive Dual-Threshold for Semi-Supervised Learning
Semi-Supervised Learning (SSL) has advanced classification tasks by inpu...
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03/13/2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
Adversarial training (AT) is always formulated as a minimax problem, of ...
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03/02/2022
A Principled Design of Image Representation: Towards Forensic Tasks
Image forensics is a rising topic as the trustworthy multimedia content ...
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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...
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12/07/2021
Defending against Model Stealing via Verifying Embedded External Features
Obtaining a well-trained model involves expensive data collection and tr...
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10/11/2021
Boosting Fast Adversarial Training with Learnable Adversarial Initialization
Adversarial training (AT) has been demonstrated to be effective in impro...
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08/01/2021
An Effective and Robust Detector for Logo Detection
In recent years, intellectual property (IP), which represents literary, ...
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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...
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07/25/2021
Comprehensive Studies for Arbitrary-shape Scene Text Detection
Numerous scene text detection methods have been proposed in recent years...
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07/05/2021
Poisoning Attack against Estimating from Pairwise Comparisons
As pairwise ranking becomes broadly employed for elections, sports compe...
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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...
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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...
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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 ...
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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...
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08/20/2020
Single Image Super-Resolution via a Holistic Attention Network
Informative features play a crucial role in the single image super-resol...
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08/05/2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples
Recent research has demonstrated that adding some imperceptible perturba...
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08/01/2020
Efficient Adversarial Attacks for Visual Object Tracking
Visual object tracking is an important task that requires the tracker to...
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07/18/2020
Face Super-Resolution Guided by 3D Facial Priors
State-of-the-art face super-resolution methods employ deep convolutional...
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04/29/2020
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction
As an effective learning paradigm against insufficient training samples,...
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12/01/2019
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
Learning representation from relative similarity comparisons, often call...
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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...
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09/11/2019
Identifying and Resisting Adversarial Videos Using Temporal Consistency
Video classification is a challenging task in computer vision. Although ...
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06/18/2019
Learning Personalized Attribute Preference via Multi-task AUC Optimization
Traditionally, most of the existing attribute learning methods are train...
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03/20/2019
Single Image Deraining: A Comprehensive Benchmark Analysis
We present a comprehensive study and evaluation of existing single image...
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03/10/2019
Deep Robust Subjective Visual Property Prediction in Crowdsourcing
The problem of estimating subjective visual properties (SVP) of images (...
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12/05/2018
Robust Ordinal Embedding from Contaminated Relative Comparisons
Existing ordinal embedding methods usually follow a two-stage routine: o...
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12/05/2018