Siddharth Swarup Rautaray
Computer Vision and Pattern Recognition · 2012–2020
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 48 citations into it; #12,909 of 21,575 by trust here, #11,950 by citations
- Artificial Intelligence — 26 citations into it; #31,416 of 35,345 by trust here, #32,362 by citations
- Signal Processing — 18 citations into it; #6,766 of 7,572 by trust here, #6,836 by citations
- Human-Computer Interaction — 12 citations into it; #1,326 of 2,253 by trust here, #978 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Siddharth Swarup Rautaray trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert E. Schapire
- Eamonn J. Keogh
- Yoav Freund
- Fayin Li
- Stan Salvador
- Ying Wu
- C. Burges
- Jerome H. Friedman
- Tapas Kanungo
- Chotirat (Ann) Ratanamahatana
Who trusts Siddharth Swarup Rautaray overall
- Djamila Romaissa Beddiar
- Brahim Nini
- Kyungjun Lee
- Hongyi Liu
- Leif P. Berg
- Jun Wan
- Hong Cheng
- M. Cheok
- Mohammad Sabokrou
Papers from Siddharth Swarup Rautaray's perspective
Ordered by how strongly the researchers Siddharth Swarup Rautaray 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
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A comprehensive survey and analysis of generative models in machine learning (2020) — 454 citations
- Vision based hand gesture recognition for human computer interaction: a survey (2012) — 1,521 citations