Lin Wu

Orcid: 0000-0001-6119-058X

Affiliations:
  • Swansea University, UK
  • Hefei University of Technology, Key Laboratory of Knowledge Engineering with Big Data, China
  • University of Queensland, Institute for Social Science Research, Information Technology and Electrical Engineering, Brisbane, QLD, Australia
  • University of Adelaide, School of Computer Science, SA, Australia (2015 - 2016)
  • Charles Sturt University, School of Computing and Mathematics, Albury, NSW, Australia (2014 - 2015)
  • University of New South Wales, Sydney, NSW, Australia (PhD 2014)
  • Tianjin University, School of Computer Science and Technology, China (former)


According to our database1, Lin Wu authored at least 84 papers between 2010 and 2024.

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Timeline

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Bibliography

2024
Generalizing sentence-level lipreading to unseen speakers: a two-stream end-to-end approach.
Multim. Syst., February, 2024

Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense.
Pattern Recognit., January, 2024

Blended Latent Diffusion under Attention Control for Real-World Video Editing.
CoRR, 2024

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization.
CoRR, 2024

Boosting Box-supervised Instance Segmentation with Pseudo Depth.
CoRR, 2024

De novo Protein Design Using Geometric Vector Field Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Contrastive Multitask Transformer for Hospital Mortality and Length-of-Stay Prediction.
Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023
Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

LipFormer: Learning to Lipread Unseen Speakers Based on Visual-Landmark Transformers.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation.
J. Biomed. Informatics, February, 2023

Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification.
ACM Trans. Multim. Comput. Commun. Appl., January, 2023

Asymmetric Cross-Scale Alignment for Text-Based Person Search.
IEEE Trans. Multim., 2023

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification.
IEEE Trans. Image Process., 2023

Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval.
IEEE Trans. Inf. Forensics Secur., 2023

Image Template Matching via Dense and Consistent Contrastive Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

CTVIS: Consistent Training for Online Video Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2022

T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-Up.
CoRR, 2022

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification.
CoRR, 2022

Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization.
CoRR, 2022

Cross-Modal Retrieval with Heterogeneous Graph Embedding.
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.
IEEE Trans. Neural Networks Learn. Syst., 2021

Incremental learning for exudate and hemorrhage segmentation on fundus images.
Inf. Fusion, 2021

Expression of Concern "Crossing generative adversarial networks for cross-view person re-identification" [Neurocomputing 340 (2019) 259-269].
Neurocomputing, 2021

2020
Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification.
IEEE Trans. Image Process., 2020

Cross-Entropy Adversarial View Adaptation for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2020

Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks.
Neural Networks, 2020

Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks.
CoRR, 2020

MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Unsupervised Domain Adaptive Object Detection Using Forward-Backward Cyclic Adaptation.
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.
IEEE Trans. Neural Networks Learn. Syst., 2019

Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification.
IEEE Trans. Multim., 2019

Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval.
IEEE Trans. Image Process., 2019

Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.
IEEE Trans. Cybern., 2019

Crossing generative adversarial networks for cross-view person re-identification.
Neurocomputing, 2019

Few-Shot Deep Adversarial Learning for Video-based Person Re-identification.
CoRR, 2019

CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Instance-Level Hard Negative Mining Model for Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2018

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification.
Pattern Recognit., 2018

Deep adaptive feature embedding with local sample distributions for person re-identification.
Pattern Recognit., 2018

Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering.
Neural Networks, 2018

Structured deep hashing with convolutional neural networks for fast person re-identification.
Comput. Vis. Image Underst., 2018

3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification.
CoRR, 2018

Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification.
CoRR, 2018

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
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.
IEEE Trans. Neural Networks Learn. Syst., 2017

Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval.
IEEE Trans. Image Process., 2017

Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method.
IEEE Trans. Cybern., 2017

Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification.
Pattern Recognit., 2017

Robust hashing for multi-view data: Jointly learning low-rank kernelized similarity consensus and hash functions.
Image Vis. Comput., 2017

Structured learning of metric ensembles with application to person re-identification.
Comput. Vis. Image Underst., 2017

Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition.
CoRR, 2017

Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization.
CoRR, 2017

Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification.
CoRR, 2017

Finding Modes by Probabilistic Hypergraphs Shifting.
CoRR, 2017

Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
CoRR, 2017

Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Shifting multi-hypergraphs via collaborative probabilistic voting.
Knowl. Inf. Syst., 2016

Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach.
CoRR, 2016

PersonNet: Person Re-identification with Deep Convolutional Neural Networks.
CoRR, 2016

Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus.
IEEE Trans. Image Process., 2015

An efficient framework of Bregman divergence optimization for co-ranking images and tags in a heterogeneous network.
Multim. Tools Appl., 2015

Multi-Query Augmentation-Based Web Landmark Photo Retrieval.
Comput. J., 2015

LBMCH: Learning Bridging Mapping for Cross-modal Hashing.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Robust User Community-Aware Landmark Photo Retrieval.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Effective Multi-Query Expansions: Robust Landmark Retrieval.
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.
PhD thesis, 2014

Shifting Hypergraphs by Probabilistic Voting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Exploiting Correlation Consensus: Towards Subspace Clustering for Multi-modal Data.
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.
Inf. Sci., 2013

Max-sum diversification on image ranking with non-uniform matroid constraints.
Neurocomputing, 2013

An Optimization Method for Proportionally Diversifying Search Results.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Co-ranking Images and Tags via Random Walks on a Heterogeneous Graph.
Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

Efficient image and tag co-ranking: a bregman divergence optimization method.
Proceedings of the ACM Multimedia Conference, 2013

2012
Detecting image forgeries using metrology.
Mach. Vis. Appl., 2012

Human Action Recognition from Video Sequences by Enforcing Tri-view Constraints.
Comput. J., 2012

2011
Action recognition using tri-view constraints.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010
Video synchronization and its application to object transfer.
Image Vis. Comput., 2010

Automatic Geo-Registration for Port Surveillance.
Int. J. Pattern Recognit. Artif. Intell., 2010

Camera calibration and geo-location estimation from two shadow trajectories.
Comput. Vis. Image Underst., 2010

Detecting Image Forgeries using Geometric Cues
CoRR, 2010

Geo-location estimation from two shadow trajectories.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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