| AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multisentence Video Description | 0 | 0.34 | 2022 |
| STIP-GCN: Space-time interest points graph convolutional network for action recognition | 0 | 0.34 | 2022 |
| mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions | 1 | 0.37 | 2022 |
| Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM | 2 | 0.34 | 2022 |
| M-FFN: multi-scale feature fusion network for image captioning | 0 | 0.34 | 2022 |
| Open-air Off-street Vehicle Parking Management System Using Deep Neural Networks - A Case Study. | 0 | 0.34 | 2022 |
| Fine-grained action recognition using dynamic kernels | 0 | 0.34 | 2022 |
| Residual Spatiotemporal Autoencoder For Unsupervised Video Anomaly Detection | 2 | 0.41 | 2021 |
| Inferring DNN layer-types through a Hardware Performance Counters based Side Channel Attack. | 0 | 0.34 | 2021 |
| Scene Classification in Remote Sensing Images using Dynamic Kernels | 0 | 0.34 | 2021 |
| Defining Traffic States using Spatio-temporal Traffic Graphs | 0 | 0.34 | 2020 |
| Unsupervised Universal Attribute Modelling for Action Recognition | 0 | 0.34 | 2019 |
| Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder | 11 | 0.52 | 2019 |
| Action Recognition Based On Discriminative Embedding Of Actions Using Siamese Networks | 2 | 0.39 | 2018 |
| Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning | 0 | 0.34 | 2018 |
| Spontaneous Expression Recognition Using Universal Attribute Model. | 3 | 0.38 | 2018 |
| Snatch theft detection in unconstrained surveillance videos using action attribute modelling. | 0 | 0.34 | 2018 |
| An Information Bottleneck Approach to Optimize the Dictionary of Visual Data. | 0 | 0.34 | 2018 |
| Fast-BoW: Scaling Bag-of-Visual-Words Generation. | 0 | 0.34 | 2018 |
| DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data. | 7 | 0.49 | 2017 |
| Human action recognition in RGB-D videos using motion sequence information and deep learning. | 17 | 0.67 | 2017 |
| Coherent and Noncoherent Dictionaries for Action Recognition. | 0 | 0.34 | 2017 |
| Graph formulation of video activities for abnormal activity recognition. | 13 | 0.47 | 2017 |
| Visual Big Data Analytics For Traffic Monitoring In Smart City | 0 | 0.34 | 2016 |
| Spontaneous Facial Expression Recognition: A Part Based Approach | 0 | 0.34 | 2016 |
| Sparsity-inducing dictionaries for effective action classification. | 4 | 0.37 | 2016 |
| Human action recognition using genetic algorithms and convolutional neural networks. | 13 | 0.73 | 2016 |
| Discriminative feature extraction from X-ray images using deep convolutional neural networks. | 0 | 0.34 | 2016 |
| Palmprint Recognition Based on Minutiae Quadruplets. | 0 | 0.34 | 2016 |
| Sparsifying Dense Features for Action Classification | 1 | 0.35 | 2015 |
| Sparseland model for speckle suppression of B-mode ultrasound images | 0 | 0.34 | 2015 |
| Sparsity-Based Iris Classification Using Iris Fiber Structures | 0 | 0.34 | 2015 |
| Feature Selection Using Deep Neural Networks | 5 | 0.45 | 2015 |
| Content based medical image retrieval using dictionary learning | 17 | 0.72 | 2015 |
| Nearest Neighbor Minutia Quadruplets Based Fingerprint Matching with Reduced Time and Space Complexity | 0 | 0.34 | 2015 |
| Medical images modality classification using multi-scale dictionary learning | 1 | 0.37 | 2014 |
| Enhancements to latent fingerprints in forensic applications | 0 | 0.34 | 2014 |
| Dictionary based action video classification with action bank | 2 | 0.37 | 2014 |
| De-noising Slap Fingerprint Images for Accurate Slap Fingerprint Segmentation | 0 | 0.34 | 2011 |
| Classification of sport videos using edge-based features and autoassociative neural network models | 5 | 0.46 | 2010 |
| Efficient Clustering Approach Using Incremental And Hierarchical Clustering Methods | 7 | 0.78 | 2010 |
| Video Shot Segmentation Using Late Fusion Technique | 3 | 0.39 | 2008 |
| Edge-based Sports Video Classification using HMM | 0 | 0.34 | 2007 |
| Content-Based Video Classification Using Support Vector Machines | 8 | 0.69 | 2004 |
