Search Results for author: Tao Xu

Found 35 papers, 8 papers with code

RAR-PINN algorithm for the data-driven vector-soliton solutions and parameter discovery of coupled nonlinear equations

no code implementations29 Apr 2022 Shu-Mei Qin, Min Li, Tao Xu, Shao-Qun Dong

This work aims to provide an effective deep learning framework to predict the vector-soliton solutions of the coupled nonlinear equations and their interactions.

Rural Pension System and Farmers' Participation in Residents' Social Insurance

no code implementations2 Apr 2022 Tao Xu

As the ageing population and childlessness are increasing in rural China, social pensions will become the mainstream choice for farmers, and the level of social pensions must be supported by better social insurance.

Efficient conditioned face animation using frontally-viewed embedding

no code implementations16 Mar 2022 Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie

As the quality of few shot facial animation from landmarks increases, new applications become possible, such as ultra low bandwidth video chat compression with a high degree of realism.

DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition

no code implementations27 Feb 2022 Tao Xu, Wang Dang, Jiabao Wang, Yun Zhou

One of the most significant challenges of EEG-based emotion recognition is the cross-subject EEG variations, leading to poor performance and generalizability.

EEG Emotion Recognition +1

Optimal configuration of cooperative stationary and mobile energy storage considering ambient temperature: A case for Winter Olympic Game

no code implementations20 Feb 2022 He Meng, Hongjie Jia, Tao Xu, Wei Wei, Yuhan Wu, Lemeng Liang, Shuqi Cai, Zuozheng Liu, Rujing Wang

The international mega-event, such as the Winter Olympic Game, has been considered as one of the most carbon intensive activities worldwide.

Multi-objective Distributed Optimization for Zonal Distribution System with Multi-Microgrids

no code implementations20 Feb 2022 Tao Xu, Lemeng Liang, Zuozheng Liu, Rujing Wang, Lingxu Guo

The issue of voltage variations caused by integration of renewables has been addressed in this paper through distributed management of Microgrids (MGs).

Distributed Optimization

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix

no code implementations17 Oct 2021 Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng

The hard samples, which are beneficial for classifier learning, are often mistakenly treated as noises in such a setting since both the hard samples and ones with noisy labels lead to a relatively larger loss value than the easy cases.

Image Classification

Deep Image Synthesis from Intuitive User Input: A Review and Perspectives

no code implementations9 Jul 2021 Yuan Xue, Yuan-Chen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Xiaolei Huang

In many applications of computer graphics, art and design, it is desirable for a user to provide intuitive non-image input, such as text, sketch, stroke, graph or layout, and have a computer system automatically generate photo-realistic images that adhere to the input content.

Image Generation Image Retrieval

FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

no code implementations9 Mar 2021 Xian Sun, Peijin Wang, Zhiyuan Yan, Feng Xu, Ruiping Wang, Wenhui Diao, Jin Chen, Jihao Li, Yingchao Feng, Tao Xu, Martin Weinmann, Stefan Hinz, Cheng Wang, Kun fu

In this paper, we propose a novel benchmark dataset with more than 1 million instances and more than 15, 000 images for Fine-grAined object recognItion in high-Resolution remote sensing imagery which is named as FAIR1M.

Object Detection Object Recognition

Autonomous object harvesting using synchronized optoelectronic microrobots

no code implementations8 Mar 2021 Christopher Bendkowski, Laurent Mennillo, Tao Xu, Mohamed Elsayed, Filip Stojic, Harrison Edwards, Shuailong Zhang, Cindi Morshead, Vijay Pawar, Aaron R. Wheeler, Danail Stoyanov, Michael Shaw

Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micromanipulation technology based on the use of light induced dielectrophoresis to move small dielectric structures (microrobots) across a photoconductive substrate.

Low Bandwidth Video-Chat Compression using Deep Generative Models

no code implementations1 Dec 2020 Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie

To unlock video chat for hundreds of millions of people hindered by poor connectivity or unaffordable data costs, we propose to authentically reconstruct faces on the receiver's device using facial landmarks extracted at the sender's side and transmitted over the network.

Differentially Private ADMM Algorithms for Machine Learning

no code implementations31 Oct 2020 Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong

For smooth convex loss functions with (non)-smooth regularization, we propose the first differentially private ADMM (DP-ADMM) algorithm with performance guarantee of $(\epsilon,\delta)$-differential privacy ($(\epsilon,\delta)$-DP).

A simulation environment for drone cinematography

no code implementations3 Oct 2020 Fan Zhang, David Hall, Tao Xu, Stephen Boyle, David Bull

Methods for environmental image capture, 3D reconstruction (photogrammetry) and the creation of foreground assets are presented along with a flexible and user-friendly simulation interface.

3D Reconstruction

HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild

no code implementations24 Jul 2020 Jing Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin, Cong Zhao, Tao Xu, Xinyi Zhang, Ziqiang Huang, Meichen Liu, Tao Yang

Existing multimodal emotion databases in the real-world conditions are few and small, with a limited number of subjects and expressed in a single language.

Emotion Recognition Facial Expression Recognition

Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network

no code implementations1 Apr 2020 Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang

In this paper, we propose a novel and more flexible GCN model with a feature encoder that adaptively updates the adjacency matrix during learning and demonstrate that this model design leads to improved performance.

Classification General Classification

Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms

1 code implementation24 Apr 2019 Hao Sun, Xianxu Zeng, Tao Xu, Gang Peng, Yutao Ma

In the ten-fold cross-validation process, the CADx approach, HIENet, achieved a 76. 91 $\pm$ 1. 17% (mean $\pm$ s. d.) classification accuracy for four classes of endometrial tissue, namely normal endometrium, endometrial polyp, endometrial hyperplasia, and endometrial adenocarcinoma.

Classification General Classification

GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction

no code implementations23 May 2018 Tao Xu, Kun Sun, Wenbing Tao

In this paper, we proposed a GPU accelerated image matching method with improved Cascade Hashing.

3D Reconstruction

Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization

no code implementations1 May 2018 Wei Huang, Tao Xu, Kangshun Li, Jun He

PMODE and HECO-PDE are compared with the algorithms from the IEEE CEC 2018 competition and another recent MOEA for constrained optimisation.

Multiobjective Optimization

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

no code implementations10 Feb 2018 Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li

To help doctors to be more selective on biopsies and provide a second opinion on diagnosis, in this work, we propose a computer-aided diagnosis (CAD) system for lung diseases including cancers and tuberculosis (TB).

Transfer Learning

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

17 code implementations CVPR 2018 Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He

In this paper, we propose an Attentional Generative Adversarial Network (AttnGAN) that allows attention-driven, multi-stage refinement for fine-grained text-to-image generation.

Ranked #4 on Text-to-Image Generation on COCO (SOA-C metric)

Text Matching Text to image generation +1

On the Discrimination-Generalization Tradeoff in GANs

no code implementations ICLR 2018 Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He

When evaluated with neural distance, our bounds show that generalization is guaranteed as long as the discriminator set is small enough, regardless of the size of the generator or hypothesis set.

Generalization Bounds

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

16 code implementations19 Oct 2017 Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas

In this paper, we propose Stacked Generative Adversarial Networks (StackGAN) aiming at generating high-resolution photo-realistic images.

Text-to-Image Generation

SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation

2 code implementations6 Jun 2017 Yuan Xue, Tao Xu, Han Zhang, Rodney Long, Xiaolei Huang

Extensive experimental results demonstrate the effectiveness of the proposed SegAN with multi-scale loss: on BRATS 2013 SegAN gives performance comparable to the state-of-the-art for whole tumor and tumor core segmentation while achieves better precision and sensitivity for Gd-enhance tumor core segmentation; on BRATS 2015 SegAN achieves better performance than the state-of-the-art in both dice score and precision.

Brain Tumor Segmentation Tumor Segmentation

Multi-objective Differential Evolution with Helper Functions for Constrained Optimization

no code implementations30 Sep 2015 Tao Xu, Jun He

This paper proposes a new multi-objective method for solving constrained optimization problems.

High Order Structure Descriptors for Scene Images

no code implementations15 Oct 2014 Wenya Zhu, Xiankai Lu, Tao Xu, Ziyi Zhao

It is well known that scene images are well characterized by particular arrangements of their local structures, we divide the scene image into the non-overlapping sub-regions and compute the proposed higher order structural features among them.

Scene Classification

Efficient Image Categorization with Sparse Fisher Vector

no code implementations15 Oct 2014 Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo

In object recognition, Fisher vector (FV) representation is one of the state-of-art image representations ways at the expense of dense, high dimensional features and increased computation time.

Image Categorization Object Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.