Thinagaran Perumal

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it
• Artificial Intelligence — 47 citations into it
• Biomedical Engineering — 9 citations into it
• Computer Networks and Communications — 7 citations into it
• Reinforcement Learning — 6 citations into it

Whom Thinagaran Perumal trusts overall

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

1. Geoffrey E. Hinton
2. Alex Graves
3. Yoshua Bengio
4. Kaiming He
5. Sepp Hochreiter
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Matthew D. Zeiler
9. J. Urgen Schmidhuber
10. Yann LeCun

Papers from Thinagaran Perumal's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU (2023) — 468 citations
• Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review (2021) — 362 citations