| Deep visual analogy-making SE Reed, Y Zhang, Y Zhang, H Lee Advances in neural information processing systems 28, 2015 | 275 | 2015 |
| Learning to disentangle factors of variation with manifold interaction S Reed, K Sohn, Y Zhang, H Lee International conference on machine learning, 1431-1439, 2014 | 257 | 2014 |
| Improving object detection with deep convolutional networks via bayesian optimization and structured prediction Y Zhang, K Sohn, R Villegas, G Pan, H Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 227 | 2015 |
| Single sample face recognition via learning deep supervised autoencoders S Gao, Y Zhang, K Jia, J Lu, Y Zhang IEEE transactions on information forensics and security 10 (10), 2108-2118, 2015 | 221 | 2015 |
| Accelerometer-based gait recognition by sparse representation of signature points with clusters Y Zhang, G Pan, K Jia, M Lu, Y Wang, Z Wu IEEE transactions on cybernetics 45 (9), 1864-1875, 2014 | 177 | 2014 |
| Augmenting supervised neural networks with unsupervised objectives for large-scale image classification Y Zhang, K Lee, H Lee International conference on machine learning, 612-621, 2016 | 145 | 2016 |
| Unsupervised discovery of object landmarks as structural representations Y Zhang, Y Guo, Y Jin, Y Luo, Z He, H Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 139 | 2018 |
| Towards understanding the invertibility of convolutional neural networks AC Gilbert, Y Zhang, K Lee, Y Zhang, H Lee arXiv preprint arXiv:1705.08664, 2017 | 62 | 2017 |
| Accelerometer-based gait recognition via voting by signature points G Pan, Y Zhang, Z Wu Electronics letters 45 (22), 1116-1118, 2009 | 59 | 2009 |
| Humble teachers teach better students for semi-supervised object detection Y Tang, W Chen, Y Luo, Y Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 40 | 2021 |
| Discriminative bimodal networks for visual localization and detection with natural language queries Y Zhang, L Yuan, Y Guo, Z He, IA Huang, H Lee Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 40 | 2017 |
| L1-norm latent SVM for compact features in object detection M Tan, G Pan, Y Wang, Y Zhang, Z Wu Neurocomputing 139, 56-64, 2014 | 22 | 2014 |
| Removal of 3D facial expressions: A learning-based approach G Pan, S Han, Z Wu, Y Zhang 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 17 | 2010 |
| Visual question answering on image sets A Bansal, Y Zhang, R Chellappa European Conference on Computer Vision, 51-67, 2020 | 11 | 2020 |
| Dynamically grown generative adversarial networks L Liu, Y Zhang, J Deng, S Soatto Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8680-8687, 2021 | 5 | 2021 |
| Efficient computation of histograms on densely overlapped polygonal regions Y Zhang, Y Wang, G Pan, Z Wu Neurocomputing 118, 141-149, 2013 | 2 | 2013 |
| Robust Face Recognition by Constrained Part-based Alignment Y Zhang, K Jia, Y Wang, G Pan, TH Chan, Y Ma arXiv preprint arXiv:1501.04717, 2015 | | 2015 |
| GPU-accelerated parallel realistic 3D facial expression synthesis H Song, P Gang, F Junkang, Z Yuting Journal of Computer [Aided Design Computer Graphics, 2011, 23 (5): 747-755, 2011 | | 2011 |
| Supplementary material for “Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction” Y Zhang, K Sohn, R Villegas, G Pan, H Lee | | |
| Supplementary Materials: Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification Y Zhang, EDUK Lee, EDUH Lee, U EDU | | |
Honglak LeeLG AI Research / U. Michiganumich.edu의 이메일 확인됨
