| VAC-Net: Visual Attention Consistency Network for Person Re-identification | 0 | 0.34 | 2022 |
| An Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications | 0 | 0.34 | 2021 |
| MFC-Net : Multi-feature fusion cross neural network for salient object detection | 1 | 0.37 | 2021 |
| Fast Human Activity Recognition. | 0 | 0.34 | 2021 |
| A visual place recognition approach using learnable feature map filtering and graph attention networks | 1 | 0.35 | 2021 |
| Computational Approach to Identifying Contrast-Driven Retinal Ganglion Cells | 0 | 0.34 | 2021 |
| Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry | 0 | 0.34 | 2021 |
| A Predictive Model For Paediatric Autism Screening | 0 | 0.34 | 2020 |
| Technical Indicators and Prediction for Energy Market Forecasting. | 0 | 0.34 | 2020 |
| DENSE-INception U-net for medical image segmentation. | 3 | 0.39 | 2020 |
| EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association | 0 | 0.34 | 2020 |
| Reducing-Over-Time Tree For Event-Based Data | 0 | 0.34 | 2020 |
| Multi-level and multi-scale horizontal pooling network for person re-identification | 3 | 0.44 | 2020 |
| Appearance-invariant place recognition by adversarially learning disentangled representation. | 1 | 0.35 | 2020 |
| Using Machine Learning Algorithms to Predict the Likelihood of Recurrent Falls in Older Adults. | 0 | 0.34 | 2019 |
| Computational modelling of salamander retinal ganglion cells using machine learning approaches. | 0 | 0.34 | 2019 |
| Daily Energy Price Forecasting Using a Polynomial NARMAX Model. | 0 | 0.34 | 2018 |
| Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques. | 1 | 0.36 | 2018 |
| PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing. | 0 | 0.34 | 2018 |
| Biologically Inspired Intensity and Depth Image Edge Extraction. | 0 | 0.34 | 2018 |
| Steering a predator robot using a mixed frame/event-driven convolutional neural network | 13 | 1.00 | 2016 |
| Modelling Retinal Ganglion Cells Using Self-Organising Fuzzy Neural Networks | 1 | 0.37 | 2015 |
| Modelling of a retinal ganglion cell with simple spiking models | 0 | 0.34 | 2015 |
| A biologically inspired spiking model of visual processing for image feature detection | 9 | 0.54 | 2015 |
| Modelling and Analysis of Retinal Ganglion Cells Through System Identification. | 0 | 0.34 | 2014 |
| Corner detection on hexagonal pixel based images | 3 | 0.45 | 2011 |
| Biologically inspired edge detection. | 2 | 0.41 | 2011 |
| Finite Element Laplacian Feature Detector. | 0 | 0.34 | 2011 |
| Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images. | 0 | 0.34 | 2011 |
| A finite element blob detector for robust features | 1 | 0.36 | 2011 |
| Spiking Hierarchical Neural Network for Corner Detection. | 2 | 0.39 | 2011 |
| A Space Variant Gradient Based Corner Detector for Sparse Omnidirectional Images | 0 | 0.34 | 2010 |
| FESID: Finite Element Scale Invariant Detector | 4 | 0.46 | 2009 |
| Processing Sparse Panoramic Images via Space Variant Operators | 0 | 0.34 | 2008 |
| Integrated Edge and Corner Detection | 3 | 0.41 | 2007 |
| A Graph Theoretic Approach to Direct Processing of Sparse Unwarped Panoramic Images | 2 | 0.41 | 2006 |
