SUN YAT-SEN UNIVERSITY

research

∙ 02/09/2020

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

Recent researches show that machine learning has the potential to learn ...

Bo Peng, et al. ∙

research

∙ 11/15/2019

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 ...

Zhiyue Liu, et al. ∙

research

∙ 11/12/2019

Machine Intelligence at the Edge with Learning Centric Power Allocation

While machine-type communication (MTC) devices generate considerable amo...

Shuai Wang, et al. ∙

research

∙ 01/14/2022

ViT2Hash: Unsupervised Information-Preserving Hashing

Unsupervised image hashing, which maps images into binary codes without ...

Qinkang Gong, et al. ∙

research

∙ 07/19/2021

Learning Attributed Graph Representations with Communicative Message Passing Transformer

Constructing appropriate representations of molecules lies at the core o...

Jianwen Chen, et al. ∙

research

∙ 05/07/2022

Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm

Medical image segmentation based on deep learning is often faced with th...

Yuhan Xie, et al. ∙

research

∙ 01/23/2021

Neural Relational Inference with Efficient Message Passing Mechanisms

Many complex processes can be viewed as dynamical systems of interacting...

Siyuan Chen, et al. ∙

research

∙ 04/16/2019

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

High-quality image inpainting requires filling missing regions in a dama...

Yanhong Zeng, et al. ∙

research

∙ 08/25/2021

Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images

Deep learning models have shown their superior performance in various vi...

Jia-Xin Zhuang, et al. ∙

research

∙ 12/07/2021

Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning

Despite the great progress in video understanding made by deep convoluti...

Manlin Zhang, et al. ∙

research

∙ 07/26/2019

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM

Most of current Convolution Neural Network (CNN) based methods for optic...

Shuosen Guan, et al. ∙

research

∙ 01/03/2020

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...

Guoxiu He, et al. ∙

research

∙ 12/29/2019

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

This paper deals with distributed finite-sum optimization for learning o...

Zhaoxian Wu, et al. ∙

research

∙ 11/29/2019

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation

Neural Architecture Search (NAS), aiming at automatically designing netw...

Changlin Li, et al. ∙

research

∙ 10/04/2019

Layout-Graph Reasoning for Fashion Landmark Detection

Detecting dense landmarks for diverse clothes, as a fundamental techniqu...

Weijiang Yu, et al. ∙

research

∙ 11/25/2019

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

Existing deep learning methods for action recognition in videos require ...

Yang Liu, et al. ∙

research

∙ 01/29/2019

Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding

Person re-identification (Re-ID) aims to match identities across non-ove...

Hong-Xing Yu, et al. ∙

research

∙ 08/06/2019

Contour Loss: Boundary-Aware Learning for Salient Object Segmentation

We present a learning model that makes full use of boundary information ...

Zixuan Chen, et al. ∙

research

∙ 02/01/2022

WebFormer: The Web-page Transformer for Structure Information Extraction

Structure information extraction refers to the task of extracting struct...

Qifan Wang, et al. ∙

research

∙ 12/09/2020

Improving the Fairness of Deep Generative Models without Retraining

Generative Adversarial Networks (GANs) have recently advanced face synth...

Shuhan Tan, et al. ∙

research

∙ 10/27/2021

RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images

Salient object detection (SOD) for optical remote sensing images (RSIs) ...

Runmin Cong, et al. ∙

research

∙ 04/07/2019

Adaptively Connected Neural Networks

This paper presents a novel adaptively connected neural network (ACNet) ...

Guangrun Wang, et al. ∙

research

∙ 08/11/2021

Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning

Medical imaging technologies, including computed tomography (CT) or ches...

Guangyi Liu, et al. ∙

research

∙ 02/07/2022

Benchmarking Deep Models for Salient Object Detection

In recent years, deep network-based methods have continuously refreshed ...

Huajun Zhou, et al. ∙

research

∙ 08/17/2021

Graph Capsule Aggregation for Unaligned Multimodal Sequences

Humans express their opinions and emotions through multiple modalities w...

Jianfeng Wu, et al. ∙

research

∙ 10/26/2021

Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference

Aiming at recognizing and localizing the object of novel categories by a...

Junying Huang, et al. ∙

research

∙ 12/21/2021

A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing

Coflow is a recently proposed networking abstraction to help improve the...

Xin Wang, et al. ∙

research

∙ 02/18/2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment

Glaucoma is the second leading cause of blindness and is the leading cau...

Huihui Fang, et al. ∙

research

∙ 01/17/2019

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

In many robotic applications, especially for the autonomous driving, und...

Lei Fan, et al. ∙

research

∙ 01/18/2020

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

Temporally language grounding in untrimmed videos is a newly-raised task...

Jie Wu, et al. ∙

research

∙ 08/03/2020

Active Object Search

In this work, we investigate an Active Object Search (AOS) task that is ...

Jie Wu, et al. ∙

research

∙ 03/05/2020

Image Generation from Freehand Scene Sketches

We introduce the first method for automatic image generation from scene-...

Chengying Gao, et al. ∙

research

∙ 07/21/2020

Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary

Membership inference (MI) in machine learning decides whether a given ex...

Da Yu, et al. ∙

research

∙ 05/01/2021

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets

Automated and accurate segmentations of left atrium (LA) and atrial scar...

Jun Chen, et al. ∙

research

∙ 08/22/2021

Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift

Recently proposed neural architecture search (NAS) methods co-train bill...

Jiefeng Peng, et al. ∙

research

∙ 02/16/2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

Age-related macular degeneration (AMD) is the leading cause of visual im...

Huihui Fang, et al. ∙

research

∙ 04/28/2022

Learning to Extract Building Footprints from Off-Nadir Aerial Images

Extracting building footprints from aerial images is essential for preci...

Jinwang Wang, et al. ∙

research

∙ 04/08/2019

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

Person re-identification (ReID) benefits greatly from the accurate annot...

Guangrun Wang, et al. ∙

research

∙ 03/10/2021

BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism

Collaborative Filtering (CF) based recommendation methods have been wide...

Zi-Yuan Hu, et al. ∙

research

∙ 11/19/2021

Medical Visual Question Answering: A Survey

Medical Visual Question Answering (VQA) is a combination of medical arti...

Zhihong Lin, et al. ∙

research

∙ 07/07/2019

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

Person re-identification (re-id) has made great progress in recent years...

Jiaxuan Zhuo, et al. ∙

research

∙ 09/20/2019

Gradual Network for Single Image De-raining

Most advances in single image de-raining meet a key challenge, which is ...

Zhe Huang, et al. ∙

research

∙ 03/10/2020

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...

Zhenshan Bing, et al. ∙

research

∙ 12/25/2021

Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping

With the wide penetration of smart robots in multifarious fields, Simult...

Peng Huang, et al. ∙

research

∙ 07/02/2018

Deep Reasoning with Knowledge Graph for Social Relationship Understanding

Social relationships (e.g., friends, couple etc.) form the basis of the ...

Zhouxia Wang, et al. ∙

research

∙ 01/15/2019

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...

Zhi-Hong Deng, et al. ∙

research

∙ 03/25/2019

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

We propose a universal image reconstruction method to represent detailed...

Sheng You, et al. ∙

research

∙ 01/22/2020

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

Recently deep convolutional neural networks have achieved significant su...

Haofeng Li, et al. ∙

research

∙ 04/26/2020

Multi-Domain Dialogue Acts and Response Co-Generation

Generating fluent and informative responses is of critical importance fo...

Kai Wang, et al. ∙

research

∙ 06/06/2020

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

Beyond the common difficulties faced in the natural image captioning, me...

Mingjie Li, et al. ∙

SUN YAT-SEN UNIVERSITY

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