Lin Wu

According to our database, Lin Wu authored at least 78 papers between 2010 and 2024.

Collaborative distances:

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

2024

Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense.

Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang

Pattern Recognit., January, 2024

Boosting Box-supervised Instance Segmentation with Pseudo Depth.

Xinyi Yu, Ling Yan, Pengtao Jiang, Hao Chen, Bo Li, Lin Yuanbo Wu, Linlin Ou

CoRR, 2024

2023

Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation.

Deyin Liu, Lin Wu, Feng Zheng, Lingqiao Liu, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

LipFormer: Learning to Lipread Unseen Speakers Based on Visual-Landmark Transformers.

Feng Xue, Yu Li, Deyin Liu, Yincen Xie, Lin Wu, Richang Hong

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

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation.

Zhihong Lin, Donghao Zhang, Danli Shi, Renjing Xu, Qingyi Tao, Lin Wu, Mingguang He, Zongyuan Ge

J. Biomed. Informatics, February, 2023

Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification.

Deyin Liu, Lin Wu, Richang Hong, Zongyuan Ge, Jialie Shen, Farid Boussaïd, Mohammed Bennamoun

ACM Trans. Multim. Comput. Commun. Appl., January, 2023

Asymmetric Cross-Scale Alignment for Text-Based Person Search.

Zhong Ji, Junhua Hu, Deyin Liu, Lin Yuanbo Wu, Ye Zhao

IEEE Trans. Multim., 2023

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification.

Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie

IEEE Trans. Image Process., 2023

Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval.

Xu Yuan, Zheng Zhang, Xunguang Wang, Lin Wu

IEEE Trans. Inf. Forensics Secur., 2023

De novo protein design using geometric vector field networks.

Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen

CoRR, 2023

Image Template Matching via Dense and Consistent Contrastive Learning.

Bo Li, Lin Yuanbo Wu, Deyin Liu, Hongyang Chen, Yuanxin Ye, Xianghua Xie

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

CTVIS: Consistent Training for Online Video Instance Segmentation.

Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen

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

2022

Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person Re-Identification.

Lin Wu, Deyin Liu, Wenying Zhang, Dapeng Chen, Zongyuan Ge, Farid Boussaïd, Mohammed Bennamoun, Jialie Shen

IEEE Trans. Image Process., 2022

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification.

Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun

CoRR, 2022

Cross-Modal Retrieval with Heterogeneous Graph Embedding.

Dapeng Chen, Min Wang, Haobin Chen, Lin Wu, Jing Qin, Wei Peng

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

2021

Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.

Lin Wu, Yang Wang, Junbin Gao, Meng Wang, Zheng-Jun Zha, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2021

Incremental learning for exudate and hemorrhage segmentation on fundus images.

Wanji He, Xin Wang, Lin Wang, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Lie Ju, Liao Wu, Lin Wu, Huimin Lu, Zongyuan Ge

Inf. Fusion, 2021

Expression of Concern "Crossing generative adversarial networks for cross-view person re-identification" [Neurocomputing 340 (2019) 259-269].

Chengyuan Zhang, Lin Wu, Yang Wang

Neurocomputing, 2021

2020

Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification.

Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao

IEEE Trans. Image Process., 2020

Cross-Entropy Adversarial View Adaptation for Person Re-Identification.

Lin Wu, Richang Hong, Yang Wang, Meng Wang

IEEE Trans. Circuits Syst. Video Technol., 2020

Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks.

Deyin Liu, Lin Wu, Xue Li, Lin Qi

Neural Networks, 2020

Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks.

Deyin Liu, Lin Wu, Xue Li

CoRR, 2020

MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections.

Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Lin Wu, Meng Wang

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

Unsupervised Domain Adaptive Object Detection Using Forward-Backward Cyclic Adaptation.

Siqi Yang, Lin Wu, Arnold Wiliem, Brian C. Lovell

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification.

Lin Wu, Yang Wang, Ling Shao, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., 2019

Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification.

Lin Wu, Yang Wang, Junbin Gao, Xue Li

IEEE Trans. Multim., 2019

Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval.

Lin Wu, Yang Wang, Ling Shao

IEEE Trans. Image Process., 2019

Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.

Lin Wu, Yang Wang, Xue Li, Junbin Gao

IEEE Trans. Cybern., 2019

Crossing generative adversarial networks for cross-view person re-identification.

Chengyuan Zhang, Lin Wu, Yang Wang

Neurocomputing, 2019

Few-Shot Deep Adversarial Learning for Video-based Person Re-identification.

Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao, Brian C. Lovell

CoRR, 2019

CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels.

Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Instance-Level Hard Negative Mining Model for Histopathology Images.

Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization.

Yang Wang, Lin Wu, Xuemin Lin, Junbin Gao

IEEE Trans. Neural Networks Learn. Syst., 2018

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification.

Lin Wu, Yang Wang, Xue Li, Junbin Gao

Pattern Recognit., 2018

Deep adaptive feature embedding with local sample distributions for person re-identification.

Lin Wu, Yang Wang, Junbin Gao, Xue Li

Pattern Recognit., 2018

Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering.

Yang Wang, Lin Wu

Neural Networks, 2018

Structured deep hashing with convolutional neural networks for fast person re-identification.

Lin Wu, Yang Wang, Zongyuan Ge, Qichang Hu, Xue Li

Comput. Vis. Image Underst., 2018

3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification.

Lin Wu, Yang Wang, Ling Shao, Meng Wang

CoRR, 2018

Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification.

Lin Wu, Yang Wang, Junbin Gao, Dacheng Tao

CoRR, 2018

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.

Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion.

Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Xiang Zhao

IEEE Trans. Neural Networks Learn. Syst., 2017

Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval.

Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang

IEEE Trans. Image Process., 2017

Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method.

Lin Wu, Yang Wang, Shirui Pan

IEEE Trans. Cybern., 2017

Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification.

Lin Wu, Chunhua Shen, Anton van den Hengel

Pattern Recognit., 2017

Robust hashing for multi-view data: Jointly learning low-rank kernelized similarity consensus and hash functions.

Lin Wu, Yang Wang

Image Vis. Comput., 2017

Structured learning of metric ensembles with application to person re-identification.

Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen, Anton van den Hengel

Comput. Vis. Image Underst., 2017

Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition.

Lin Wu, Yang Wang

CoRR, 2017

Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization.

Yang Wang, Lin Wu

CoRR, 2017

Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification.

Lin Wu, Yang Wang

CoRR, 2017

Finding Modes by Probabilistic Hypergraphs Shifting.

Yang Wang, Lin Wu

CoRR, 2017

Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.

Tong Chen, Lin Wu, Xue Li, Jun Zhang, Hongzhi Yin, Yang Wang

CoRR, 2017

Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage.

Lin Wu, Michele Haynes, Andrew Smith, Tong Chen, Xue Li

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Shifting multi-hypergraphs via collaborative probabilistic voting.

Yang Wang, Xuemin Lin, Lin Wu, Qing Zhang, Wenjie Zhang

Knowl. Inf. Syst., 2016

Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach.

Lin Wu, Chunhua Shen, Anton van den Hengel

CoRR, 2016

PersonNet: Person Re-identification with Deep Convolutional Neural Networks.

Lin Wu, Chunhua Shen, Anton van den Hengel

CoRR, 2016

Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering.

Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus.

Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Qing Zhang, Xiaodi Huang

IEEE Trans. Image Process., 2015

An efficient framework of Bregman divergence optimization for co-ranking images and tags in a heterogeneous network.

Lin Wu, Xiaodi Huang, Chengyuan Zhang, John Shepherd, Yang Wang

Multim. Tools Appl., 2015

Multi-Query Augmentation-Based Web Landmark Photo Retrieval.

Lin Wu, Xiaodi Huang, John Shepherd, Yang Wang

Comput. J., 2015

LBMCH: Learning Bridging Mapping for Cross-modal Hashing.

Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Qing Zhang

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Robust User Community-Aware Landmark Photo Retrieval.

Lin Wu, John Shepherd, Xiaodi Huang, Chunzhi Hu

Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Effective Multi-Query Expansions: Robust Landmark Retrieval.

Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014

Efficient Image Ranking in Heterogeneous Social Media Networks.

Lin Wu

PhD thesis, 2014

Shifting Hypergraphs by Probabilistic Voting.

Yang Wang, Xuemin Lin, Qing Zhang, Lin Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Exploiting Correlation Consensus: Towards Subspace Clustering for Multi-modal Data.

Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Qing Zhang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

2013

Clustering via geometric median shift over Riemannian manifolds.

Yang Wang, Xiaodi Huang, Lin Wu

Inf. Sci., 2013

Max-sum diversification on image ranking with non-uniform matroid constraints.

Lin Wu, Yang Wang, John Shepherd, Xiang Zhao

Neurocomputing, 2013

An Optimization Method for Proportionally Diversifying Search Results.

Lin Wu, Yang Wang, John Shepherd, Xiang Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Co-ranking Images and Tags via Random Walks on a Heterogeneous Graph.

Lin Wu, Yang Wang, John Shepherd

Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

Efficient image and tag co-ranking: a bregman divergence optimization method.

Lin Wu, Yang Wang, John Shepherd

Proceedings of the ACM Multimedia Conference, 2013

2012

Detecting image forgeries using metrology.

Lin Wu, Xiaochun Cao, Wei Zhang, Yang Wang

Mach. Vis. Appl., 2012

Human Action Recognition from Video Sequences by Enforcing Tri-view Constraints.

Yang Wang, Lin Wu, Xiaodi Huang, Xuemin Lin

Comput. J., 2012

2011

Action recognition using tri-view constraints.

Yang Wang, Lin Wu, Xiaodi Huang

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

Video synchronization and its application to object transfer.

Xiaochun Cao, Lin Wu, Jiangjian Xiao, Hassan Foroosh, Jigui Zhu, Xiaohong Li

Image Vis. Comput., 2010

Automatic Geo-Registration for Port Surveillance.

Xiaochun Cao, Lin Wu, Zeeshan Rasheed, Haiying Liu, Tae Eun Choe, Feng Guo, Niels Haering

Int. J. Pattern Recognit. Artif. Intell., 2010

Camera calibration and geo-location estimation from two shadow trajectories.

Lin Wu, Xiaochun Cao, Hassan Foroosh

Comput. Vis. Image Underst., 2010

Detecting Image Forgeries using Geometric Cues

Lin Wu, Yang Wang

CoRR, 2010

Geo-location estimation from two shadow trajectories.

Lin Wu, Xiaochun Cao

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