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09/08/2022
Transformer based Fingerprint Feature Extraction
Fingerprint feature extraction is a task that is solved using either a g...
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04/07/2021
A Unified Model for Fingerprint Authentication and Presentation Attack Detection
Typical fingerprint recognition systems are comprised of a spoof detecti...
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11/17/2020
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS
Mutual information (MI) is an information-theoretic measure of dependenc...
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11/17/2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
Video Prediction is an interesting and challenging task of predicting fu...
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05/09/2020
Understanding Dynamic Scenes using Graph Convolution Networks
We present a novel Multi Relational Graph Convolutional Network (MRGCN) ...
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02/03/2020
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Understanding on-road vehicle behaviour from a temporal sequence of sens...
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12/11/2019
CineFilter: Unsupervised Filtering for Real Time Autonomous Camera Systems
Learning to mimic the smooth and deliberate camera movement of a human c...
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12/08/2019
Universal Material Translator: Towards Spoof Fingerprint Generalization
Spoof detectors are classifiers that are trained to distinguish spoof fi...
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11/26/2018
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments
While several datasets for autonomous navigation have become available i...
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04/11/2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Binarization is an extreme network compression approach that provides la...
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04/09/2018
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
Deep neural networks are highly effective at a range of computational ta...
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12/01/2017
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
In this paper, we design and evaluate a convolutional autoencoder that p...
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11/23/2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Neural Networks, while being unreasonably effective for several vis...
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05/29/2017
