Human action recognition using genetic algorithms and convolutional neural networks EP Ijjina, C Krishna Mohan Pattern Recognition, 2016 | 188 | 2016 |
Human action recognition in RGB-D videos using motion sequence information and deep learning EP Ijjina, KM Chalavadi Pattern Recognition 72, 504-516, 2017 | 142 | 2017 |
Deep spatio-temporal representation for detection of road accidents using stacked autoencoder D Singh, CK Mohan IEEE Transactions on Intelligent Transportation Systems 20 (3), 879-887, 2018 | 133 | 2018 |
Automatic Detection of Bike-riders without Helmet using Surveillance Videos in Real-time K Dahiya, D Singh, C Krishna Mohan IEEE International Joint Conference on Neural Networks (IJCNN 2016), 3046-3051, 2016 | 103 | 2016 |
Graph formulation of video activities for abnormal activity recognition D Singh, CK Mohan Pattern Recognition 65, 265-272, 2017 | 102 | 2017 |
Content based medical image retrieval using dictionary learning M Srinivas, RR Naidu, CS Sastry, C Krishna Mohan Neurocomputing 168, 880-895, 2015 | 87 | 2015 |
Detection of motorcyclists without helmet in videos using convolutional neural network C Vishnu, D Singh, CK Mohan, S Babu 2017 International Joint Conference on Neural Networks (IJCNN), 3036-3041, 2017 | 80 | 2017 |
Illumination invariant face recognition using convolutional neural networks NP Ramaiah, EP Ijjina, C Krishna Mohan 2015 IEEE International Conference on Signal Processing, Informatics …, 2015 | 72 | 2015 |
Hybrid deep neural network model for human action recognition EP Ijjina, C Krishna Mohan Applied Soft Computing, 2015 | 60 | 2015 |
Feature selection using Deep Neural Networks D Roy, KSR Murty, C Krishna Mohan 2015 International Joint Conference on Neural Networks (IJCNN), 1 - 6, 2015 | 59 | 2015 |
Visual Big Data Analytics for Traffic Monitoring in Smart City D Singh, C Vishnu, C Krishna Mohan IEEE Int. Conf. on Machine Learning and Applications (ICMLA 2016), 2016 | 51 | 2016 |
Residual spatiotemporal autoencoder for unsupervised video anomaly detection K Deepak, S Chandrakala, CK Mohan Signal, Image and Video Processing 15 (1), 215-222, 2021 | 49 | 2021 |
Ulsam: Ultra-lightweight subspace attention module for compact convolutional neural networks R Saini, NK Jha, B Das, S Mittal, CK Mohan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 49 | 2020 |
Efficient clustering approach using incremental and hierarchical clustering methods M Srinivas, C Krishna Mohan The 2010 International Joint Conference on Neural Networks (IJCNN), 1-7, 2010 | 48 | 2010 |
DiP-SVM: distribution preserving kernel support vector machine for big data D Singh, D Roy, CK Mohan IEEE Transactions on Big Data 3 (1), 79-90, 2016 | 45 | 2016 |
Facial Expression Recognition Using Kinect Depth Sensor and Convolutional Neural Networks EP Ijjina, C Krishna Mohan Machine Learning and Applications (ICMLA), 2014 13th International …, 2014 | 45 | 2014 |
Vehicle trajectory prediction at intersections using interaction based generative adversarial networks D Roy, T Ishizaka, CK Mohan, A Fukuda 2019 IEEE Intelligent transportation systems conference (ITSC), 2318-2323, 2019 | 40 | 2019 |
Human action recognition based on motion capture information using fuzzy convolution neural networks EP Ijjina, C Krishna Mohan Advances in Pattern Recognition (ICAPR), 2015 Eighth International …, 2015 | 40 | 2015 |
Human action recognition based on recognition of linear patterns in action bank features using convolutional neural networks EP Ijjina, C Krishna Mohan Machine Learning and Applications (ICMLA), 2014 13th International …, 2014 | 40 | 2014 |
Unsupervised universal attribute modeling for action recognition D Roy, KSR Murty, CK Mohan IEEE Transactions on Multimedia 21 (7), 1672-1680, 2018 | 39 | 2018 |