Dacheng Tao

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Generative adversarial networks (GANs) are a hot research topic recently...
01/20/2020 ∙ by Jie Gui, et al. ∙ 75 ∙ share

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Distillating Knowledge from Graph Convolutional Networks

Existing knowledge distillation methods focus on convolutional neural ne...
03/23/2020 ∙ by Yiding Yang, et al. ∙ 70 ∙ share

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Adversarial Attacks for Embodied Agents

Adversarial attacks are valuable for providing insights into the blind-s...
05/19/2020 ∙ by Aishan Liu, et al. ∙ 40 ∙ share

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Transform-Invariant Convolutional Neural Networks for Image Classification and Search

Convolutional neural networks (CNNs) have achieved state-of-the-art resu...
11/28/2019 ∙ by Xu Shen, et al. ∙ 32 ∙ share

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Robust Visual Tracking Revisited: From Correlation Filter to Template Matching

In this paper, we propose a novel matching based tracker by investigatin...
04/15/2019 ∙ by Fanghui Liu, et al. ∙ 26 ∙ share

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A Regularization Approach for Instance-Based Superset Label Learning

Different from the traditional supervised learning in which each trainin...
04/05/2019 ∙ by Chen gong, et al. ∙ 24 ∙ share

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A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection

Deep learning-based computer vision is usually data-hungry. Many researc...
12/15/2019 ∙ by Zhe Chen, et al. ∙ 23 ∙ share

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Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval

Zero-shot sketch-based image retrieval (ZS-SBIR) is a task of cross-doma...
04/03/2019 ∙ by Hao Wang, et al. ∙ 22 ∙ share

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Heterogeneous Multi-task Metric Learning across Multiple Domains

Distance metric learning (DML) plays a crucial role in diverse machine l...
04/08/2019 ∙ by Yong Luo, et al. ∙ 22 ∙ share

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All you need is a good representation: A multi-level and classifier-centric representation for few-shot learning

The main problems of few-shot learning are how to learn a generalized re...
11/28/2019 ∙ by Shaoli Huang, et al. ∙ 22 ∙ share

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Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art ...
11/28/2019 ∙ by Xu Shen, et al. ∙ 21 ∙ share

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Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer

Style transfer describes the rendering of an image semantic content as d...
04/04/2019 ∙ by Xinyuan Chen, et al. ∙ 20 ∙ share

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Large Margin Multi-modal Multi-task Feature Extraction for Image Classification

The features used in many image analysis-based applications are frequent...
04/08/2019 ∙ by Yong Luo, et al. ∙ 20 ∙ share

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Shakeout: A New Approach to Regularized Deep Neural Network Training

Recent years have witnessed the success of deep neural networks in deali...
04/13/2019 ∙ by Guoliang Kang, et al. ∙ 20 ∙ share

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An Underwater Image Enhancement Benchmark Dataset and Beyond

Underwater image enhancement has been attracting much attention due to i...
01/11/2019 ∙ by Chongyi Li, et al. ∙ 18 ∙ share

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Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification

In this paper, we present correlated logistic (CorrLog) model for multil...
04/17/2019 ∙ by Qiang Li, et al. ∙ 18 ∙ share

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Deep Multimodal Neural Architecture Search

Designing effective neural networks is fundamentally important in deep m...
04/25/2020 ∙ by Zhou Yu, et al. ∙ 17 ∙ share

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Local Deep-Feature Alignment for Unsupervised Dimension Reduction

This paper presents an unsupervised deep-learning framework named Local ...
04/22/2019 ∙ by Jian Zhang, et al. ∙ 16 ∙ share

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Continuous Dropout

Dropout has been proven to be an effective algorithm for training robust...
11/28/2019 ∙ by Xu Shen, et al. ∙ 16 ∙ share

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Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain

The goal of transfer learning is to improve the performance of target le...
04/08/2019 ∙ by Yong Luo, et al. ∙ 14 ∙ share

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Robust subspace clustering by Cauchy loss function

Subspace clustering is a problem of exploring the low-dimensional subspa...
04/28/2019 ∙ by Xuelong Li, et al. ∙ 14 ∙ share

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Transfer Metric Learning: Algorithms, Applications and Outlooks

Distance metric learning (DML) aims to find an appropriate way to reveal...
10/09/2018 ∙ by Yong Luo, et al. ∙ 12 ∙ share

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Fast Efficient Object Detection Using Selective Attention

Deep learning object detectors achieve state-of-the-art accuracy at the ...
11/19/2018 ∙ by Shivanthan Yohanandan, et al. ∙ 12 ∙ share

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Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification

In computer vision, image datasets used for classification are naturally...
04/08/2019 ∙ by Yong Luo, et al. ∙ 12 ∙ share

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HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

Neural Architecture Search (NAS) refers to automatically design the arch...
05/29/2020 ∙ by Zhaohui Yang, et al. ∙ 12 ∙ share

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Fully-Featured Attribute Transfer

Image attribute transfer aims to change an input image to a target one w...
02/17/2019 ∙ by De Xie, et al. ∙ 10 ∙ share

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Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification

Deep learning has recently attracted significant attention in the field ...
04/04/2019 ∙ by Cheng Deng, et al. ∙ 10 ∙ share

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Multi-View Intact Space Learning

It is practical to assume that an individual view is unlikely to be suff...
04/04/2019 ∙ by Chang Xu, et al. ∙ 10 ∙ share

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Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion

Multi-label learning draws great interests in many real world applicatio...
04/14/2019 ∙ by Bo Du, et al. ∙ 10 ∙ share

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Towards High Performance Human Keypoint Detection

Human keypoint detection from a single image is very challenging due to ...
02/03/2020 ∙ by Jing Zhang, et al. ∙ 10 ∙ share

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Multimodal Unified Attention Networks for Vision-and-Language Interactions

Learning an effective attention mechanism for multimodal data is importa...
08/12/2019 ∙ by Zhou Yu, et al. ∙ 9 ∙ share

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Learning Student Networks via Feature Embedding

Deep convolutional neural networks have been widely used in numerous app...
12/17/2018 ∙ by Hanting Chen, et al. ∙ 8 ∙ share

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Image-Question-Answer Synergistic Network for Visual Dialog

The image, question (combined with the history for de-referencing), and ...
02/26/2019 ∙ by Dalu Guo, et al. ∙ 8 ∙ share

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Adapting Stochastic Block Models to Power-Law Degree Distributions

Stochastic block models (SBMs) have been playing an important role in mo...
04/05/2019 ∙ by Maoying Qiao, et al. ∙ 8 ∙ share

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BIT: Biologically Inspired Tracker

Visual tracking is challenging due to image variations caused by various...
04/23/2019 ∙ by Bolun Cai, et al. ∙ 8 ∙ share

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Segmentation-Aware Image Denoising without Knowing True Segmentation

Several recent works discussed application-driven image restoration neur...
05/22/2019 ∙ by Sicheng Wang, et al. ∙ 8 ∙ share

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A Distributed Approach towards Discriminative Distance Metric Learning

Distance metric learning is successful in discovering intrinsic relation...
05/11/2019 ∙ by Jun Li, et al. ∙ 7 ∙ share

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Positive-Unlabeled Compression on the Cloud

Many attempts have been done to extend the great success of convolutiona...
09/21/2019 ∙ by Yixing Xu, et al. ∙ 7 ∙ share

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Orthogonal Deep Neural Networks

In this paper, we introduce the algorithms of Orthogonal Deep Neural Net...
05/15/2019 ∙ by Kui Jia, et al. ∙ 6 ∙ share

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On Positive-Unlabeled Classification in GAN

This paper defines a positive and unlabeled classification problem for s...
02/04/2020 ∙ by Tianyu Guo, et al. ∙ 6 ∙ share

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Cost-Sensitive Feature Selection by Optimizing F-Measures

Feature selection is beneficial for improving the performance of general...
04/04/2019 ∙ by Chang Xu, et al. ∙ 4 ∙ share

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Graph Reasoning Networks for Visual Question Answering

The interaction between language and visual information has been emphasi...
07/23/2019 ∙ by Dalu Guo, et al. ∙ 4 ∙ share

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Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

Human parsing, or human body part semantic segmentation, has been an act...
11/27/2019 ∙ by Haoyu He, et al. ∙ 4 ∙ share

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An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation

This work addresses the challenging problem of unconstrained 3D hand pos...
11/28/2019 ∙ by Sanjeev Sharma, et al. ∙ 4 ∙ share

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FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network

Single image dehazing is a critical image pre-processing step for subseq...
06/11/2019 ∙ by Jing Zhang, et al. ∙ 3 ∙ share

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Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition

This paper investigates body bones from skeleton data for skeleton based...
05/16/2018 ∙ by Xikun Zhang, et al. ∙ 2 ∙ share

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MoE-SPNet: A Mixture-of-Experts Scene Parsing Network

Scene parsing is an indispensable component in understanding the semanti...
06/19/2018 ∙ by Huan Fu, et al. ∙ 2 ∙ share

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Robust Student Network Learning

Deep neural networks bring in impressive accuracy in various application...
07/30/2018 ∙ by Tianyu Guo, et al. ∙ 2 ∙ share

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Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping

Unsupervised domain mapping aims at learning a function to translate dom...
09/16/2018 ∙ by Huan Fu, et al. ∙ 2 ∙ share

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Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images

In hyperspectral remote sensing data mining, it is important to take int...
04/08/2019 ∙ by Lefei Zhang, et al. ∙ 2 ∙ share

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Dacheng Tao

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