Nalini K. Ratha
Computer Vision and Pattern Recognition · 1997–2019
A researcher in the Science corpus: 12 papers; trusts 464 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 130 citations into it; #4,058 of 21,575 by trust here, #4,402 by citations
- Signal Processing — 72 citations into it; #802 of 7,572 by trust here, #861 by citations
- Artificial Intelligence — 37 citations into it
- Information Systems — 24 citations into it; #699 of 8,771 by trust here, #1,069 by citations
- Safety, Robustness & Interpretability — 21 citations into it
- Computational Mechanics — 16 citations into it
- Evaluation & Benchmarks — 14 citations into it; #1,590 of 3,147 by trust here, #2,275 by citations
- Privacy & Security — 9 citations into it
Whom Nalini K. Ratha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Andrew Zisserman
- Ilya Sutskever
- Diederik P. Kingma
- Ross B. Girshick
- Antonio Torralba
Who trusts Nalini K. Ratha overall
- Anil K. Jain
- Christian Rathgeb
- Karthik Nandakumar
- Umut Uludag
- Andreas Uhl
- Battista Biggio
- Vishal M. Patel
- Daniel F. Smith
- Ruud M. Bolle
- Zhou Lingli
Papers from Nalini K. Ratha's perspective
Ordered by how strongly the researchers Nalini K. Ratha trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Diversity in Faces (2019) — 217 citations
- Deep Learning for Face Recognition: Pride or Prejudiced? (2019) — 83 citations
- Understanding Unequal Gender Classification Accuracy from Face Images (2018) — 53 citations
- Enhancing security and privacy in biometrics-based authentication systems (2001) — 1,830 citations
- Towards Deep Neural Network Training on Encrypted Data (2019) — 149 citations
- Cancelable Biometrics: A review (2015) — 373 citations
- Secure and Robust Iris Recognition Using Random Projections and Sparse Representations (2011) — 333 citations
- Generating Cancelable Fingerprint Templates (2007) — 953 citations
- Guide to Biometrics (2003) — 714 citations
- Biometric perils and patches (2002) — 355 citations
- An Analysis of Minutiae Matching Strength (2001) — 488 citations
- Object detection using gabor filters (1997)