Vidhya Navalpakkam
Computer Vision and Pattern Recognition · 2005–2012
A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it; #4,987 of 21,575 by trust here, #8,952 by citations
- Cognitive Neuroscience — 24 citations into it; #1,181 of 10,852 by trust here, #2,870 by citations
- Neuroscience — 5 citations into it
Whom Vidhya Navalpakkam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Laurent Itti
- Christof Koch
- Paul A. Viola
- Antonio Torralba
- Ronald A. Rensink
- Harold Pashler
- Stefan Treue
- Anne Treisman
- Constantine Papageorgiou
- Henry Schneiderman
Who trusts Vidhya Navalpakkam overall
- Ali Borji
- Simone Frintrop
- Márta Abrusán
- Tilke Judd
- Tim J. Smith
- Rohit Girdhar
- Laurent Itti
- Rick T. Wilson
- Erich Rome
- Zoya Bylinskii
Papers from Vidhya Navalpakkam's perspective
Ordered by how strongly the researchers Vidhya Navalpakkam 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed (2006) — 423 citations
- Modeling the influence of task on attention. (2005) — 720 citations
- Relative visual saliency differences induce sizable bias in consumer choice (2012) — 371 citations