SUN YAT-SEN UNIVERSITY

∙ Guangzhou , China ∙ 0 followers

Sun Yat-sen University, abbreviated SYSU and colloquially known in Chinese as Zhongda, also known as Zhongshan University, is a major Chinese public research university located in Guangzhou, Guangdong, China.

A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems

Recent researches show that machine learning has the potential to learn ...
02/09/2020 ∙ by Bo Peng, et al. ∙ 60 ∙ share

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CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation

Generating multiple categories of texts is a challenging task and draws ...
11/15/2019 ∙ by Zhiyue Liu, et al. ∙ 51 ∙ share

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Machine Intelligence at the Edge with Learning Centric Power Allocation

While machine-type communication (MTC) devices generate considerable amo...
11/12/2019 ∙ by Shuai Wang, et al. ∙ 38 ∙ share

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Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

High-quality image inpainting requires filling missing regions in a dama...
04/16/2019 ∙ by Yanhong Zeng, et al. ∙ 32 ∙ share

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Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM

Most of current Convolution Neural Network (CNN) based methods for optic...
07/26/2019 ∙ by Shuosen Guan, et al. ∙ 25 ∙ share

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Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model

The nonliteral interpretation of a text is hard to be understood by mach...
01/03/2020 ∙ by Guoxiu He, et al. ∙ 24 ∙ share

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Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks

This paper deals with distributed finite-sum optimization for learning o...
12/29/2019 ∙ by Zhaoxian Wu, et al. ∙ 21 ∙ share

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Blockwisely Supervised Neural Architecture Search with Knowledge Distillation

Neural Architecture Search (NAS), aiming at automatically designing netw...
11/29/2019 ∙ by Changlin Li, et al. ∙ 19 ∙ share

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Layout-Graph Reasoning for Fashion Landmark Detection

Detecting dense landmarks for diverse clothes, as a fundamental techniqu...
10/04/2019 ∙ by Weijiang Yu, et al. ∙ 17 ∙ share

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Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition

Existing deep learning methods for action recognition in videos require ...
11/25/2019 ∙ by Yang Liu, et al. ∙ 17 ∙ share

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Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding

Person re-identification (Re-ID) aims to match identities across non-ove...
01/29/2019 ∙ by Hong-Xing Yu, et al. ∙ 16 ∙ share

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Contour Loss: Boundary-Aware Learning for Salient Object Segmentation

We present a learning model that makes full use of boundary information ...
08/06/2019 ∙ by Zixuan Chen, et al. ∙ 16 ∙ share

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Adaptively Connected Neural Networks

This paper presents a novel adaptively connected neural network (ACNet) ...
04/07/2019 ∙ by Guangrun Wang, et al. ∙ 14 ∙ share

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Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network

In many robotic applications, especially for the autonomous driving, und...
01/17/2019 ∙ by Lei Fan, et al. ∙ 12 ∙ share

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Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video

Temporally language grounding in untrimmed videos is a newly-raised task...
01/18/2020 ∙ by Jie Wu, et al. ∙ 12 ∙ share

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Image Generation from Freehand Scene Sketches

We introduce the first method for automatic image generation from scene-...
03/05/2020 ∙ by Chengying Gao, et al. ∙ 11 ∙ share

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Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark

Person re-identification (ReID) benefits greatly from the accurate annot...
04/08/2019 ∙ by Guangrun Wang, et al. ∙ 10 ∙ share

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A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification

Person re-identification (re-id) has made great progress in recent years...
07/07/2019 ∙ by Jiaxuan Zhuo, et al. ∙ 9 ∙ share

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Gradual Network for Single Image De-raining

Most advances in single image de-raining meet a key challenge, which is ...
09/20/2019 ∙ by Zhe Huang, et al. ∙ 9 ∙ share

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Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

Building spiking neural networks (SNNs) based on biological synaptic pla...
03/10/2020 ∙ by Zhenshan Bing, et al. ∙ 9 ∙ share

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Deep Reasoning with Knowledge Graph for Social Relationship Understanding

Social relationships (e.g., friends, couple etc.) form the basis of the ...
07/02/2018 ∙ by Zhouxia Wang, et al. ∙ 8 ∙ share

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DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

In general, recommendation can be viewed as a matching problem, i.e., ma...
01/15/2019 ∙ by Zhi-Hong Deng, et al. ∙ 8 ∙ share

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PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain

We propose a universal image reconstruction method to represent detailed...
03/25/2019 ∙ by Sheng You, et al. ∙ 8 ∙ share

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Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread

Recently deep convolutional neural networks have achieved significant su...
01/22/2020 ∙ by Haofeng Li, et al. ∙ 8 ∙ share

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Multi-Domain Dialogue Acts and Response Co-Generation

Generating fluent and informative responses is of critical importance fo...
04/26/2020 ∙ by Kai Wang, et al. ∙ 8 ∙ share

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Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation

Beyond the common difficulties faced in the natural image captioning, me...
06/06/2020 ∙ by Mingjie Li, et al. ∙ 8 ∙ share

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Motion Guided Attention for Video Salient Object Detection

Video salient object detection aims at discovering the most visually dis...
09/16/2019 ∙ by Haofeng Li, et al. ∙ 7 ∙ share

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Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection

We study the detection of propagandistic text fragments in news articles...
04/29/2020 ∙ by Ruize Wang, et al. ∙ 7 ∙ share

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Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification

Convolutional neural networks (CNNs) attained a good performance in hype...
10/30/2018 ∙ by Haowen Luo, et al. ∙ 6 ∙ share

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An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation

We focus on Unsupervised Domain Adaptation (UDA) for the task of semanti...
12/18/2019 ∙ by Jihan Yang, et al. ∙ 5 ∙ share

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Instance-level Human Parsing via Part Grouping Network

Instance-level human parsing towards real-world human analysis scenarios...
08/01/2018 ∙ by Ke Gong, et al. ∙ 4 ∙ share

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Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining

Single image rain streaks removal has recently witnessed substantial pro...
08/04/2018 ∙ by Guanbin Li, et al. ∙ 4 ∙ share

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ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

We propose an attention-injective deformable convolutional network calle...
11/29/2018 ∙ by Ning Liu, et al. ∙ 4 ∙ share

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Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning

Facial landmark localization plays a critical role in face recognition a...
12/10/2018 ∙ by Lingbo Liu, et al. ∙ 4 ∙ share

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Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis

Medical automatic diagnosis (MAD) aims to learn an agent that mimics the...
03/14/2020 ∙ by Junfan Lin, et al. ∙ 4 ∙ share

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Linguistically Driven Graph Capsule Network for Visual Question Reasoning

Recently, studies of visual question answering have explored various arc...
03/23/2020 ∙ by Qingxing Cao, et al. ∙ 4 ∙ share

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Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction

Taxi demand prediction has recently attracted increasing research intere...
05/15/2019 ∙ by Lingbo Liu, et al. ∙ 3 ∙ share

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Semi-supervised Skin Detection by Network with Mutual Guidance

In this paper we present a new data-driven method for robust skin detect...
08/06/2019 ∙ by Yi He, et al. ∙ 3 ∙ share

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Person Re-identification by Contour Sketch under Moderate Clothing Change

Person re-identification (re-id), the process of matching pedestrian ima...
02/06/2020 ∙ by Qize Yang, et al. ∙ 3 ∙ share

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Toward Characteristic-Preserving Image-based Virtual Try-On Network

Image-based virtual try-on systems for fitting a new in-shop clothes int...
07/20/2018 ∙ by Bochao Wang, et al. ∙ 2 ∙ share

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Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

Beyond the existing single-person and multiple-person human parsing task...
08/02/2018 ∙ by Qixian Zhou, et al. ∙ 2 ∙ share

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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

This paper reviews the first challenge on efficient perceptual image enh...
10/03/2018 ∙ by Andrey Ignatov, et al. ∙ 2 ∙ share

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Accelerating Mini-batch SARAH by Step Size Rules

StochAstic Recursive grAdient algoritHm (SARAH), originally proposed for...
06/20/2019 ∙ by Zhuang Yang, et al. ∙ 2 ∙ share

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Learnable Parameter Similarity

Most of the existing approaches focus on specific visual tasks while ign...
07/27/2019 ∙ by Guangcong Wang, et al. ∙ 2 ∙ share

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Semi-Supervised Video Salient Object Detection Using Pseudo-Labels

Deep learning-based video salient object detection has recently achieved...
08/12/2019 ∙ by Pengxiang Yan, et al. ∙ 2 ∙ share

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Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning

Face hallucination is a domain-specific super-resolution problem that ai...
05/04/2019 ∙ by Yukai Shi, et al. ∙ 1 ∙ share

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Learning Action Models from Disordered and Noisy Plan Traces

There is increasing awareness in the planning community that the burden ...
08/26/2019 ∙ by Hankz Hankui Zhuo, et al. ∙ 1 ∙ share

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Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

The success of DNNs has driven the extensive applications of person re-i...
04/08/2020 ∙ by Hongjun Wang, et al. ∙ 1 ∙ share

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A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity

SGD (Stochastic Gradient Descent) is a popular algorithm for large scale...
10/21/2017 ∙ by Aixiang Chen, et al. ∙ 0 ∙ share

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Transductive Zero-Shot Hashing via Coarse-to-Fine Similarity Mining

Zero-shot Hashing (ZSH) is to learn hashing models for novel/target clas...
11/08/2017 ∙ by Hanjiang Lai, et al. ∙ 0 ∙ share

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SUN YAT-SEN UNIVERSITY

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