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Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions
Adversarial examples are input examples that are specifically crafted to...
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Unsupervised Pre-training for Person Re-identification
In this paper, we present a large scale unlabeled person re-identificati...
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A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
Multi-contrast magnetic resonance (MR) image registration is essential i...
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Category-Specific CNN for Visual-aware CTR Prediction at JD.com
As one of the largest B2C e-commerce platforms in China, JD.com also pow...
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GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
We study the problem of making item recommendations to ephemeral groups,...
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Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
The rapid proliferation of new users and items on the social web has agg...
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Fashion Recommendation and Compatibility Prediction Using Relational Network
Fashion is an inherently visual concept and computer vision and artifici...
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Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study
Deep learning-based systems have been shown to be vulnerable to adversar...
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Feedback Graph Convolutional Network for Skeleton-based Action Recognition
Skeleton-based action recognition has attracted considerable attention i...
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Continual Universal Object Detection
Object detection has improved significantly in recent years on multiple ...
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Face X-ray for More General Face Forgery Detection
In this paper we propose a novel image representation called face X-ray ...
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FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
In this work, we propose a novel two-stage framework, called FaceShifter...
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Text Steganalysis with Attentional LSTM-CNN
With the rapid development of Natural Language Processing (NLP) technolo...
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FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis of VoIP Stream via Multi-head Attention
Extracting correlation features between codes-words with high computatio...
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Fast Steganalysis Method for VoIP Streams
In this letter, we present a novel and extremely fast steganalysis metho...
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Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals
With the Volume of Voice over IP (VoIP) traffic rises shapely, more and ...
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motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks
Recent years have witnessed a surge of interest in machine learning on g...
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Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
Recent advances in deep learning greatly boost the performance of object...
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Position Focused Attention Network for Image-Text Matching
Image-text matching tasks have recently attracted a lot of attention in ...
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Predicting Next-Season Designs on High Fashion Runway
Fashion is a large and fast-changing industry. Foreseeing the upcoming f...
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CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
Segmenting stroke lesions from T1-weighted MR images is of great value f...
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X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies
The morbidity of brain stroke increased rapidly in the past few years. T...
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Face Parsing with RoI Tanh-Warping
Face parsing computes pixel-wise label maps for different semantic compo...
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The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning
Recent advances in deep learning have facilitated the demand of neural m...
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Mask-Guided Portrait Editing with Conditional GANs
Portrait editing is a popular subject in photo manipulation. The Generat...
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Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows
Previous VoIP steganalysis methods face great challenges in detecting sp...
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Dynamic Graph Representation Learning via Self-Attention Networks
Learning latent representations of nodes in graphs is an important and u...
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Zero-Annotation Object Detection with Web Knowledge Transfer
Object detection is one of the major problems in computer vision, and ha...
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Exploiting Web Images for Weakly Supervised Object Detection
In recent years, the performance of object detection has advanced signif...
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Memos: Revisiting Hybrid Memory Management in Modern Operating System
The emerging hybrid DRAM-NVM architecture is challenging the existing me...
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MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information
Multi-instance multi-label (MIML) learning has many interesting applicat...
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Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations
Multi-label learning has attracted significant interests in computer vis...
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A Comparative Study of Object Trackers for Infrared Flying Bird Tracking
Bird strikes present a huge risk for aircraft, especially since traditio...
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Exploit Bounding Box Annotations for Multi-label Object Recognition
Convolutional neural networks (CNNs) have shown great performance as gen...
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A Parallel Way to Select the Parameters of SVM Based on the Ant Optimization Algorithm
A large number of experimental data shows that Support Vector Machine (S...
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