Scholar

Anil Anthony Bharath

Google Scholar ID: 3TeLlQsAAAAJ

Dept of Bioengineering, Imperial College London & Imperial Global Singapore

Convolutional Neural NetworksDeep LearningBiologically-Inspired AlgorithmsImagingHealthcare

Citations & Impact

All-time

Citations

13,153

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Background

Professor of Biologically Inspired Computation & Inference, Department of Bioengineering, Imperial College London
Research interests include convolution-based architectures for visual processing since the mid-1990s
Current research focuses on the use of deep networks for inference
Research group covers multiple areas including reinforcement learning, generative modeling, and adversarial learning
Longstanding interest in the nature of representations learned by deep neural networks, motivated by similarities between biological (spiking) and artificial neural networks
Extensive publications in pattern recognition, machine learning, and signal processing
Has substantial experience in traditional 'shallow' computer vision

Co-authors

7 total