Parasuraman Padmanabhan

Computer Vision and Pattern Recognition · 2014–2024

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 25 citations into it
• Model Architectures — 11 citations into it

Whom Parasuraman Padmanabhan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christian Szegedy
2. Geoffrey E. Hinton
3. Kaiming He
4. Sergey Ioffe
5. Alex Krizhevsky

Papers from Parasuraman Padmanabhan's perspective

Ordered by how strongly the researchers Parasuraman Padmanabhan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Going deeper with convolutions
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. ImageNet classification with deep convolutional neural networks
6. Dropout: a simple way to prevent neural networks from overfitting
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Densely Connected Convolutional Networks
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• Review of Multimodal Data Acquisition Approaches for Brain–Computer Interfaces (2024)
• 3D Deep Learning on Medical Images: A Review (2020) — 569 citations
• Evaluating the binding efficiency of pheromone binding protein with its natural ligand using molecular docking and fluorescence analysis (2014) — 19 citations