Deep high-resolution representation learning for visual recognition J Wang, K Sun, T Cheng, B Jiang, C Deng, Y Zhao, D Liu, Y Mu, M Tan, ... IEEE transactions on pattern analysis and machine intelligence 43 (10), 3349 …, 2020 | 2103 | 2020 |
High-resolution representations for labeling pixels and regions K Sun, Y Zhao, B Jiang, T Cheng, B Xiao, D Liu, Y Mu, X Wang, W Liu, ... arXiv preprint arXiv:1904.04514, 2019 | 652 | 2019 |
Discriminative local binary patterns for human detection in personal album Y Mu, S Yan, Y Liu, T Huang, B Zhou 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 427 | 2008 |
Weakly-supervised hashing in kernel space Y Mu, J Shen, S Yan 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 187 | 2010 |
Recurrent attentive zooming for joint crowd counting and precise localization C Liu, X Weng, Y Mu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 151 | 2019 |
Fast fourier convolution L Chi, B Jiang, Y Mu Advances in Neural Information Processing Systems 33, 4479-4488, 2020 | 136 | 2020 |
Weakly-supervised action localization by generative attention modeling B Shi, Q Dai, Y Mu, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 129 | 2020 |
Deep steering: Learning end-to-end driving model from spatial and temporal visual cues L Chi, Y Mu arXiv preprint arXiv:1708.03798, 2017 | 125 | 2017 |
Attention-based multi-context guiding for few-shot semantic segmentation T Hu, P Yang, C Zhang, G Yu, Y Mu, CGM Snoek Proceedings of the AAAI conference on artificial intelligence 33 (01), 8441-8448, 2019 | 121 | 2019 |
Accelerated low-rank visual recovery by random projection Y Mu, J Dong, X Yuan, S Yan CVPR 2011, 2609-2616, 2011 | 105 | 2011 |
Compact hyperplane hashing with bilinear functions W Liu, J Wang, Y Mu, S Kumar, SF Chang arXiv preprint arXiv:1206.4618, 2012 | 88 | 2012 |
Non-metric locality-sensitive hashing Y Mu, S Yan Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 539-544, 2010 | 87 | 2010 |
Activity recognition using dense long-duration trajectories J Sun, Y Mu, S Yan, LF Cheong 2010 IEEE International Conference on Multimedia and Expo, 322-327, 2010 | 81 | 2010 |
Efficient large-scale image annotation by probabilistic collaborative multi-label propagation X Chen, Y Mu, S Yan, TS Chua Proceedings of the 18th ACM international conference on Multimedia, 35-44, 2010 | 75 | 2010 |
Informative dropout for robust representation learning: A shape-bias perspective B Shi, D Zhang, Q Dai, Z Zhu, Y Mu, J Wang International Conference on Machine Learning, 8828-8839, 2020 | 71 | 2020 |
High-capacity convolutional video steganography with temporal residual modeling X Weng, Y Li, L Chi, Y Mu Proceedings of the 2019 on international conference on multimedia retrieval …, 2019 | 61 | 2019 |
Piecewise linear approximation of streaming time series data with max-error guarantees G Luo, K Yi, SW Cheng, Z Li, W Fan, C He, Y Mu 2015 IEEE 31st international conference on data engineering, 173-184, 2015 | 61 | 2015 |
Large-scale unsupervised hashing with shared structure learning X Liu, Y Mu, D Zhang, B Lang, X Li IEEE Transactions on Cybernetics 45 (9), 1811-1822, 2014 | 60 | 2014 |
Submodular video hashing: a unified framework towards video pooling and indexing L Cao, Z Li, Y Mu, SF Chang Proceedings of the 20th ACM international conference on Multimedia, 299-308, 2012 | 60 | 2012 |
Hash-SVM: Scalable kernel machines for large-scale visual classification Y Mu, G Hua, W Fan, SF Chang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 59 | 2014 |