| An overview on template matching methodologies and its applications N Perveen, D Kumar, I Bhardwaj International Journal of Research in Computer and Communication Technology 2 …, 2013 | 87 | 2013 |
| Facial expression recognition in videos using dynamic kernels N Perveen, D Roy, KM Chalavadi IEEE Transactions on Image Processing 29, 8316-8325, 2020 | 67 | 2020 |
| Spontaneous expression recognition using universal attribute model N Perveen, D Roy, CK Mohan IEEE Transactions on Image Processing 27 (11), 5575-5584, 2018 | 61 | 2018 |
| Spontaneous facial expression recognition: A part based approach N Perveen, D Singh, CK Mohan 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 52 | 2016 |
| Fine-grained action recognition using dynamic kernels S Yenduri, N Perveen, V Chalavadi Pattern Recognition 122, 108282, 2022 | 49 | 2022 |
| Facial expression recognition using facial characteristic points and Gini index N Perveen, S Gupta, K Verma 2012 Students Conference on Engineering and Systems, 1-6, 2012 | 35 | 2012 |
| Facial expression recognition system using statistical feature and neural network N Perveen, S Gupta, K Verma International Journal of Computer Applications 48 (18), 17-23, 2012 | 11 | 2012 |
| Configural Representation of Facial Action Units for Spontaneous Facial Expression Recognition in the Wild. N Perveen, CK Mohan VISIGRAPP (4: VISAPP), 93-102, 2020 | 8 | 2020 |
| Facial expression classification using statistical, spatial features and neural network N Perveen, S Guptaand, K Verma International journal of advances in engineering & technology 4 (1), 424, 2012 | 6 | 2012 |
| Facial expression recognition system using facial characteristic points and ID3 S Gupta, K Verma, N Perveen International Journal of Computer & Communication Technology (IJCCT) 3 (1 …, 2012 | 6 | 2012 |
| Fine-grained Action Recognition using Attribute Vectors. S Yenduri, N Perveen, V Chalavadi, CK Mohan VISIGRAPP (5: VISAPP), 134-143, 2022 | 2 | 2022 |
| Expression Modeling Using Dynamic Kernels for Quantitative Assessment of Facial Paralysis N Perveen, CK Mohan, YW Chen International Joint Conference on Computer Vision, Imaging and Computer …, 2020 | 1 | 2020 |
| Quantitative Analysis of Facial Paralysis using GMM and Dynamic Kernels. N Perveen, CK Mohan, YW Chen VISIGRAPP (5: VISAPP), 173-184, 2020 | 1 | 2020 |
| Learning scene-vectors for remote sensing image scene classification R Datla, N Perveen Neurocomputing, 127679, 2024 | | 2024 |
| Facial Expression Recognition by Statistical, Spatial Features and using Decision Tree N Perveen, D Kumar, I Bhardwaj International Journal of Computer Applications 64 (18), 2013 | | 2013 |
C Krishna MohanIIT Hyderabad在 iith.ac.in 的电子邮件经过验证
