b'Hao Yang'

Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions

Adversarial examples are input examples that are specifically crafted to...
12/31/2020 ∙ by Yuhang Wu, et al. ∙ 17 ∙ share

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Unsupervised Pre-training for Person Re-identification

In this paper, we present a large scale unlabeled person re-identificati...
12/07/2020 ∙ by Dengpan Fu, et al. ∙ 5 ∙ share

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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...
08/05/2020 ∙ by Weijian Huang, et al. ∙ 4 ∙ share

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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...
06/18/2020 ∙ by Hu Liu, et al. ∙ 0 ∙ share

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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,...
06/05/2020 ∙ by Aravind Sankar, et al. ∙ 0 ∙ share

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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...
05/21/2020 ∙ by Adit Krishnan, et al. ∙ 14 ∙ share

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Fashion Recommendation and Compatibility Prediction Using Relational Network

Fashion is an inherently visual concept and computer vision and artifici...
05/13/2020 ∙ by Maryam Moosaei, et al. ∙ 7 ∙ share

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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...
03/24/2020 ∙ by Luan Nguyen, et al. ∙ 7 ∙ share

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Feedback Graph Convolutional Network for Skeleton-based Action Recognition

Skeleton-based action recognition has attracted considerable attention i...
03/17/2020 ∙ by Hao Yang, et al. ∙ 10 ∙ share

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Continual Universal Object Detection

Object detection has improved significantly in recent years on multiple ...
02/13/2020 ∙ by Xialei Liu, et al. ∙ 33 ∙ share

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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 ...
12/31/2019 ∙ by Lingzhi Li, et al. ∙ 14 ∙ share

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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...
12/31/2019 ∙ by Lingzhi Li, et al. ∙ 21 ∙ share

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Text Steganalysis with Attentional LSTM-CNN

With the rapid development of Natural Language Processing (NLP) technolo...
12/30/2019 ∙ by YongJian Bao, et al. ∙ 0 ∙ share

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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...
11/02/2019 ∙ by Hao Yang, et al. ∙ 0 ∙ share

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Fast Steganalysis Method for VoIP Streams

In this letter, we present a novel and extremely fast steganalysis metho...
10/31/2019 ∙ by Hao Yang, et al. ∙ 0 ∙ share

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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 ...
10/10/2019 ∙ by Hao Yang, et al. ∙ 0 ∙ share

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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...
08/22/2019 ∙ by Manoj Reddy Dareddy, et al. ∙ 0 ∙ share

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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...
08/14/2019 ∙ by Hao Yang, et al. ∙ 2 ∙ share

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Position Focused Attention Network for Image-Text Matching

Image-text matching tasks have recently attracted a lot of attention in ...
07/23/2019 ∙ by Yaxiong Wang, et al. ∙ 0 ∙ share

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Predicting Next-Season Designs on High Fashion Runway

Fashion is a large and fast-changing industry. Foreseeing the upcoming f...
07/16/2019 ∙ by Yusan Lin, et al. ∙ 0 ∙ share

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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...
07/16/2019 ∙ by Hao Yang, et al. ∙ 2 ∙ share

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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...
07/16/2019 ∙ by Kehan Qi, et al. ∙ 0 ∙ share

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Face Parsing with RoI Tanh-Warping

Face parsing computes pixel-wise label maps for different semantic compo...
06/04/2019 ∙ by Jinpeng Lin, et al. ∙ 0 ∙ share

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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...
05/31/2019 ∙ by Bonggun Shin, et al. ∙ 0 ∙ share

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Mask-Guided Portrait Editing with Conditional GANs

Portrait editing is a popular subject in photo manipulation. The Generat...
05/24/2019 ∙ by Shuyang Gu, et al. ∙ 0 ∙ share

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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...
02/04/2019 ∙ by Zhongliang Yang, et al. ∙ 0 ∙ share

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Dynamic Graph Representation Learning via Self-Attention Networks

Learning latent representations of nodes in graphs is an important and u...
12/22/2018 ∙ by Aravind Sankar, et al. ∙ 0 ∙ share

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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...
11/16/2017 ∙ by Qingyi Tao, et al. ∙ 0 ∙ share

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Exploiting Web Images for Weakly Supervised Object Detection

In recent years, the performance of object detection has advanced signif...
07/27/2017 ∙ by Qingyi Tao, et al. ∙ 0 ∙ share

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Memos: Revisiting Hybrid Memory Management in Modern Operating System

The emerging hybrid DRAM-NVM architecture is challenging the existing me...
03/22/2017 ∙ by Lei Liu, et al. ∙ 0 ∙ share

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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...
02/28/2017 ∙ by Hao Yang, et al. ∙ 0 ∙ share

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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...
08/04/2016 ∙ by Hao Yang, et al. ∙ 0 ∙ share

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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...
01/18/2016 ∙ by Ying Huang, et al. ∙ 0 ∙ share

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Exploit Bounding Box Annotations for Multi-label Object Recognition

Convolutional neural networks (CNNs) have shown great performance as gen...
04/22/2015 ∙ by Hao Yang, et al. ∙ 0 ∙ share

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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...
05/19/2014 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Hao Yang

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