Yong Xu

According to our database, Yong Xu authored at least 109 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Behavior Graph Neural Networks for Recommender System.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Universal Object Detection with Large Vision Model.

Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang

Int. J. Comput. Vis., April, 2024

Enhancing texture representation with deep tracing pattern encoding.

Zhile Chen, Yuhui Quan, Ruotao Xu, Lianwen Jin, Yong Xu

Pattern Recognit., February, 2024

Image Smoothing via Multiscale Global Perception.

Xuyi He, Yuhui Quan, Yong Xu, Ruotao Xu

IEEE Signal Process. Lett., 2024

2023

Image Desnowing via Deep Invertible Separation.

Yuhui Quan, Xiaoheng Tan, Yan Huang, Yong Xu, Hui Ji

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Multi-Behavior Sequential Recommendation With Temporal Graph Transformer.

Lianghao Xia, Chao Huang, Yong Xu, Jian Pei

IEEE Trans. Knowl. Data Eng., June, 2023

Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble Learning.

Mingqin Chen, Yuhui Quan, Yong Xu, Hui Ji

IEEE Trans. Circuits Syst. Video Technol., February, 2023

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks.

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

CoRR, 2023

Graph-less Collaborative Filtering.

Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu

Proceedings of the ACM Web Conference 2023, 2023

Heterogeneous Graph Contrastive Learning for Recommendation.

Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Graph Transformer for Recommendation.

Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Disentangled Graph Social Recommendation.

Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Coherent Event Guided Low-Light Video Enhancement.

Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems.

Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang

ACM Trans. Inf. Syst., 2022

Nonblind Image Deblurring via Deep Learning in Complex Field.

Yuhui Quan, Peikang Lin, Yong Xu, Yuesong Nan, Hui Ji

IEEE Trans. Neural Networks Learn. Syst., 2022

Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection.

Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong

IEEE Trans. Multim., 2022

Recurrent Exposure Generation for Low-Light Face Detection.

Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu

IEEE Trans. Multim., 2022

Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis.

Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong

IEEE Trans. Multim., 2022

PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis.

Lingyu Liang, Lianwen Jin, Yong Xu

IEEE Trans. Cybern., 2022

Unsupervised Deep Background Matting Using Deep Matte Prior.

Yong Xu, Baoling Liu, Yuhui Quan, Hui Ji

IEEE Trans. Circuits Syst. Video Technol., 2022

Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors.

Jinxiu Liang, Yong Xu, Yuhui Quan, Boxin Shi, Hui Ji

IEEE Trans. Circuits Syst. Video Technol., 2022

Unsupervised knowledge transfer for nonblind image deconvolution.

Zhuojie Chen, Xin Yao, Yong Xu, Junle Wang, Yuhui Quan

Pattern Recognit. Lett., 2022

Forecasting traffic flow with spatial-temporal convolutional graph attention networks.

Xiyue Zhang, Yong Xu, Yizhen Shao

Neural Comput. Appl., 2022

Million-scale Object Detection with Large Vision Model.

Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang

CoRR, 2022

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen

CoRR, 2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation.

Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Hypergraph Contrastive Collaborative Filtering.

Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SwinTrack: A Simple and Strong Baseline for Transformer Tracking.

Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

No-Reference Image Quality Assessment Using Dynamic Complex-Valued Neural Model.

Zihan Zhou, Yong Xu, Ruotao Xu, Yuhui Quan

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Deep Blind Image Quality Assessment Using Dual-Order Statistics.

Zihan Zhou, Yong Xu, Yuhui Quan, Ruotao Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction.

Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.

Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Fine-Grained Object Classification via Self-Supervised Pose Alignment.

Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis.

Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Factorized Tensor Dictionary Learning for Visual Tensor Data Completion.

Ruotao Xu, Yong Xu, Yuhui Quan

IEEE Trans. Multim., 2021

Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning.

Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan, Haibin Ling

IEEE Trans. Image Process., 2021

Structure-Texture Image Decomposition Using Discriminative Patch Recurrence.

Ruotao Xu, Yong Xu, Yuhui Quan

IEEE Trans. Image Process., 2021

Super-resolving blurry face images with identity preservation.

Yong Xu, Haoyang Zou, Yan Huang, Lianwen Jin, Haibin Ling

Pattern Recognit. Lett., 2021

Image denoising using complex-valued deep CNN.

Yuhui Quan, Yixin Chen, Yizhen Shao, Huan Teng, Yong Xu, Hui Ji

Pattern Recognit., 2021

Mask-guided GAN for robust text editing in the scene.

Boxi Yu, Yong Xu, Yan Huang, Shuai Yang, Jiaying Liu

Neurocomputing, 2021

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark.

Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling

Int. J. Comput. Vis., 2021

Attentive deep network for blind motion deblurring on dynamic scenes.

Yong Xu, Ye Zhu, Yuhui Quan, Hui Ji

Comput. Vis. Image Underst., 2021

SwinTrack: A Simple and Strong Baseline for Transformer Tracking.

Liting Lin, Heng Fan, Yong Xu, Haibin Ling

CoRR, 2021

FWB-Net: Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation.

Cong Wang, Yan Huang, Yuexian Zou, Yong Xu

CoRR, 2021

Hierarchical hashing-based multi-source image retrieval method for image denoising.

Yan Huang, Zihan Zhou, Xiangyu Sai, Yong Xu, Yuexian Zou

Appl. Soft Comput., 2021

Graph Meta Network for Multi-Behavior Recommendation.

Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Encoding Spatial Distribution of Convolutional Features for Texture Representation.

Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, Yuhui Quan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations.

Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Hypergraph Neural Networks for Hypergraph Matching.

Xiaowei Liao, Yong Xu, Haibin Ling

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation.

Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity.

Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Social Recommendation with Self-Supervised Metagraph Informax Network.

Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.

Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-aware Coupled Graph Neural Network for Social Recommendation.

Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation.

Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.

Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin

IEEE Trans. Image Process., 2020

Image Denoising via Sequential Ensemble Learning.

Xuhui Yang, Yong Xu, Yuhui Quan, Hui Ji

IEEE Trans. Image Process., 2020

Collaborative Deep Learning for Super-Resolving Blurry Text Images.

Yuhui Quan, Jieting Yang, Yixin Chen, Yong Xu, Hui Ji

IEEE Trans. Computational Imaging, 2020

Removing Reflection From a Single Image With Ghosting Effect.

Yan Huang, Yuhui Quan, Yong Xu, Ruotao Xu, Hui Ji

IEEE Trans. Computational Imaging, 2020

Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence.

Ruotao Xu, Yong Xu, Yuhui Quan, Hui Ji

SIAM J. Imaging Sci., 2020

Single-image raindrop removal using concurrent channel-spatial attention and long-short skip connections.

Jiayi Peng, Yong Xu, Tianyi Chen, Yan Huang

Pattern Recognit. Lett., 2020

Full-reference image quality metric for blurry images and compressed images using hybrid dictionary learning.

Zihan Zhou, Jing Li, Yong Xu, Yuhui Quan

Neural Comput. Appl., 2020

Deep Bilateral Retinex for Low-Light Image Enhancement.

Jinxiu Liang, Yong Xu, Yuhui Quan, Jingwen Wang, Haibin Ling, Hui Ji

CoRR, 2020

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks.

Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results.

Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiaojun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation.

Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting.

Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Barzilai-Borwein-based adaptive learning rate for deep learning.

Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, Hui Ji

Pattern Recognit. Lett., 2019

Tourism scene classification based on multi-stage transfer learning model.

Tangquan Qi, Yong Xu, Haibin Ling

Neural Comput. Appl., 2019

Exploiting label consistency in structured sparse representation for classification.

Yan Huang, Yuhui Quan, Tao Liu, Yong Xu

Neural Comput. Appl., 2019

Privacy-Protective-GAN for Privacy Preserving Face De-Identification.

Yifan Wu, Fan Yang, Yong Xu, Haibin Ling

J. Comput. Sci. Technol., 2019

Deeply Exploiting Long-Term View Dependency for 3D Shape Recognition.

Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan

IEEE Access, 2019

Multi-view Rank Pooling for 3D Object Recognition*.

Chaoda Zheng, Yong Xu, Ruotao Xu, Hongyu Chi, Yuhui Quan

Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Adaptive GNN for Image Analysis and Editing.

Lingyu Liang, Lianwen Jin, Yong Xu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking.

Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Semi-Supervised Image Classification With Self-Paced Cross-Task Networks.

Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu

IEEE Trans. Multim., 2018

Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection.

Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu

IEEE Trans. Image Process., 2018

Metric forests based on Gaussian mixture model for visual image classification.

Yong Xu, Qian Zhang, Lin Wang

Soft Comput., 2018

Image Cartoon-Texture Decomposition Using Isotropic Patch Recurrence.

Ruotao Xu, Yuhui Quan, Yong Xu

CoRR, 2018

2017

Image-based action recognition using hint-enhanced deep neural networks.

Tangquan Qi, Yong Xu, Yuhui Quan, Yaodong Wang, Haibin Ling

Neurocomputing, 2017

Spatiotemporal lacunarity spectrum for dynamic texture classification.

Yuhui Quan, Yuping Sun, Yong Xu

Comput. Vis. Image Underst., 2017

2016

Supervised dictionary learning with multiple classifier integration.

Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang

Pattern Recognit., 2016

Block-based selection random forest for texture classification using multi-fractal spectrum feature.

Qian Zhang, Yong Xu

Neural Comput. Appl., 2016

Sparse Coding for Classification via Discrimination Ensemble.

Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang, Hui Ji

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Directional regularity for visual quality estimation.

Delei Liu, Yong Xu, Yuhui Quan, Zhiwen Yu, Patrick Le Callet

Signal Process., 2015

Classifying dynamic textures via spatiotemporal fractal analysis.

Yong Xu, Yuhui Quan, Zhuming Zhang, Haibin Ling, Hui Ji

Pattern Recognit., 2015

Discriminative structured dictionary learning with hierarchical group sparsity.

Yong Xu, Yuping Sun, Yuhui Quan, Bo Zheng

Comput. Vis. Image Underst., 2015

Multiple Facial Image Editing Using Edge-Aware PDE Learning.

Lingyu Liang, Lianwen Jin, Xin Zhang, Yong Xu

Comput. Graph. Forum, 2015

Characterizing dynamic textures with space-time lacunarity analysis.

Yuping Sun, Yong Xu, Yuhui Quan

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Removing Rain from a Single Image via Discriminative Sparse Coding.

Yu Luo, Yong Xu, Hui Ji

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Structured Sparse Coding for Classification via Reweighted l 2, 1 Minimization.

Yong Xu, Yuping Sun, Yuhui Quan, Yu Luo

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

Sparse Representation for Brain Signal Processing: A tutorial on methods and applications.

Yuanqing Li, Zhuliang Yu, Ning Bi, Yong Xu, Zhenghui Gu, Shun-ichi Amari

IEEE Signal Process. Mag., 2014

Reduced reference image quality assessment using regularity of phase congruency.

Delei Liu, Yong Xu, Yuhui Quan, Patrick Le Callet

Signal Process. Image Commun., 2014

A distinct and compact texture descriptor.

Yuhui Quan, Yong Xu, Yuping Sun

Image Vis. Comput., 2014

Lacunarity Analysis on Image Patterns for Texture Classification.

Yuhui Quan, Yong Xu, Yuping Sun, Yu Luo

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification.

Hui Ji, Xiong Yang, Haibin Ling, Yong Xu

IEEE Trans. Image Process., 2013

An Effective Method of 1-D Bar Code Image Identification.

Yong Xu, Yue Yuan, Huabing Dong, Yuhui Quan

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012

Scale-space texture description on SIFT-like textons.

Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller

Comput. Vis. Image Underst., 2012

Contour-based recognition.

Yong Xu, Yuhui Quan, Zhuming Zhang, Hui Ji, Cornelia Fermüller, Morimichi Nishigaki, Daniel DeMenthon

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Dynamic texture classification using dynamic fractal analysis.

Yong Xu, Yuhui Quan, Haibin Ling, Hui Ji

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid.

Yong Xu, Xiong Yang, Haibin Ling, Hui Ji

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Viewpoint Invariant Texture Description Using Fractal Analysis.

Yong Xu, Hui Ji, Cornelia Fermüller

Int. J. Comput. Vis., 2009

Integrating local feature and global statistics for texture analysis.

Yong Xu, Si-Bin Huang, Hui Ji

Proceedings of the International Conference on Image Processing, 2009

Combining powerful local and global statistics for texture description.

Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2006

A Projective Invariant for Textures.

Yong Xu, Hui Ji, Cornelia Fermüller

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006