| Face recognition using LDA-based algorithms J Lu, KN Plataniotis, AN Venetsanopoulos IEEE Transactions on Neural Networks 14 (1), 195–200, 2003 | 1208 | 2003 |
| Face recognition with radial basis function (RBF) neural networks MJ Er, S Wu, J Lu, HL Toh IEEE transactions on neural networks 13 (3), 697-710, 2002 | 986 | 2002 |
| Face recognition using kernel direct discriminant analysis algorithms J Lu, KN Plataniotis, AN Venetsanopoulos IEEE transactions on Neural Networks 14 (1), 117-126, 2003 | 843 | 2003 |
| Face recognition using the nearest feature line method SZ Li, J Lu IEEE transactions on neural networks 10 (2), 439-443, 1999 | 739 | 1999 |
| Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition J Lu, KN Plataniotis, AN Venetsanopoulos Pattern recognition letters 26 (2), 181-191, 2005 | 406 | 2005 |
| Method of and system for hierarchical human/crowd behavior detection W Hua, X Chen, R Crabb, J Lu, J Cook US Patent 8,195,598, 2012 | 275 | 2012 |
| Ensemble-based discriminant learning with boosting for face recognition J Lu, KN Plataniotis, AN Venetsanopoulos, SZ Li IEEE transactions on neural networks 17 (1), 166-178, 2006 | 244 | 2006 |
| Regularized discriminant analysis for the small sample size problem in face recognition J Lu, KN Plataniotis, AN Venetsanopoulos Pattern recognition letters 24 (16), 3079-3087, 2003 | 208 | 2003 |
| On solving the face recognition problem with one training sample per subject J Wang, KN Plataniotis, J Lu, AN Venetsanopoulos Pattern recognition 39 (9), 1746-1762, 2006 | 133 | 2006 |
| Class semantics-based attention for action detection D Sridhar, N Quader, S Muralidharan, Y Li, P Dai, J Lu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 78 | 2021 |
| Gaussian kernel optimization for pattern classification J Wang, H Lu, KN Plataniotis, J Lu Pattern recognition 42 (7), 1237-1247, 2009 | 78 | 2009 |
| Boosting the generalization capability in cross-domain few-shot learning via noise-enhanced supervised autoencoder H Liang, Q Zhang, P Dai, J Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 75 | 2021 |
| All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling Z Chi, RM Nasiri, Z Liu, J Lu, J Tang, KN Plataniotis Proceedings of the 16th European Conference on Computer Vision, 2020 | 75 | 2020 |
| Boosting linear discriminant analysis for face recognition J Lu, KN Plataniotis, AN Venetsanopoulos Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 73 | 2003 |
| Kernel quadratic discriminant analysis for small sample size problem J Wang, KN Plataniotis, J Lu, AN Venetsanopoulos Pattern Recognition 41 (5), 1528-1538, 2008 | 58 | 2008 |
| Face recognition using feature optimization and/spl nu/-support vector learning J Lu, KN Plataniotis, AN Venetsanopoulos Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE …, 2001 | 58 | 2001 |
| An efficient kernel discriminant analysis method J Lu, KN Plataniotis, AN Venetsanopoulos, J Wang Pattern Recognition 38 (10), 1788-1790, 2005 | 46 | 2005 |
| Intelligent video interaction method B Sekar, J Lu, P Dai, W Li, J Xu US Patent 10,979,761, 2021 | 45 | 2021 |
| Face recognition using radial basis function (RBF) neural networks MJ Er, S Wu, J Lu Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No …, 1999 | 42 | 1999 |
| On conversion from color to gray-scale images for face detection J Lu, KN Plataniotis 2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009 | 41 | 2009 |
Konstantinos N PlataniotisProfessor, ECE Department, University of TorontoVerified email at ece.utoronto.ca