Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization Y Wang, L Wu, X Lin, J Gao IEEE Transactions on Neural Networks and Learning Systems, 2018 | 349 | 2018 |
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection T Chen, L Wu, X Li, J Zhang, H Yin, Y Wang arXiv:1704.05973, 2017 | 339 | 2017 |
Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion Y Wang, X Lin, L Wu, X Zhao IEEE Transactions on Neural Networks and Learning Systems 28 (1), 57-70, 2017 | 312 | 2017 |
PersonNet: Person Re-identification with Deep Convolutional Neural Networks L Wu, C Shen, A Hengel CoRR abs/1601.07255 (2016), 2016 | 277 | 2016 |
Robust Subspace Clustering for Multi-view Data by Exploiting Correlation Consensus Y Wang, X Lin, L Wu, Q Zhang, X Huang IEEE Transactions on Image Processing 24 (11), 3939 - 3949, 2015 | 269 | 2015 |
Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering Y Wang, X Lin, L Wu IJCAI 16-The 25th International Joint Conference on Artificial Intelligence, 2016 | 248 | 2016 |
Deep Attention-based Spatially Recursive Networks for Fine-Grained Visual Recognition L Wu, Y Wang, X Li, J Gao IEEE Transactions on Cybernetics 49 (5), 1791-1802, 2019 | 237 | 2019 |
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification L Wu, C Shen, A Hengel Pattern Recognition, 2017 | 234 | 2017 |
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval L Wu, Y Wang, L Shao IEEE Transactions on Image Processing 28 (4), 1602-1612, 2019 | 228 | 2019 |
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification L Wu, Y Wang, J Gao, X Li IEEE Transactions on Multimedia, 2018 | 222 | 2018 |
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification L Wu, Y Wang, J Gao, X Li Pattern Recognition 73, 275-288, 2018 | 165 | 2018 |
Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval Y Wang, X Lin, L Wu IEEE Transactions on Image Processing 26 (3), 1393-1404, 2017 | 163 | 2017 |
What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification L Wu, Y Wang, X Li, J Gao Pattern Recognition 76, 727-738, 2018 | 124 | 2018 |
Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering Y Wang, L Wu Neural Networks 103, 1-8, 2018 | 115 | 2018 |
3-D PersonVLAD: Learning Deep Global Representations for Video-based Person Reidentification L Wu, Y Wang, L Shao, M Wang IEEE Transactions on Neural Networks and Learning Systems 30 (11), 3347-3359, 2019 | 103 | 2019 |
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach L Wu, C Shen, A Hengel arXiv:1606.01609, 2016 | 93 | 2016 |
LBMCH: Learning Bridging Mapping for Cross-modal Hashing Y Wang, X Lin, L Wu, Q Zhang The 38th Annual ACM SIGIR Conference 2015, Santiago, Chile, 2015 | 84 | 2015 |
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification L Wu, Y Wang, H Yin, M Wang, L Shao IEEE Transactions on Image Processing, arXiv:1903.12395 29 (1), 1233-1245, 2020 | 78 | 2020 |
Cross-Entropy Adversarial View Adaptation for Person Re-identification L Wu, R Hong, Y Wang, M Wang IEEE Transactions on Circuits and Systems for Video Technology, 2019 | 71 | 2019 |
Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification L Wu, Y Wang, Z Ge, Q Hu Computer Vision and Image Understanding 167, 63-73, 2018 | 70 | 2018 |