Sreekanth Vempati
Computer Vision and Pattern Recognition · 2010
A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it; #19,079 of 21,575 by trust here, #14,478 by citations
- Artificial Intelligence — 8 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Sreekanth Vempati trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianguo Zhang
- Francis R. Bach
- Andrea Vedaldi
- Thorsten Joachims
- Andrew Zisserman
- Christopher K. I. Williams
- Manik Varma
- Michael I. Jordan
- David G. Lowe
- Ali Rahimi
Who trusts Sreekanth Vempati overall
- Purushottam Kar
- Danica J. Sutherland
- Yang Gao
- Lukas Ruff
- Harish Karnick
- Junier B. Oliva
- Sarah Monazam Erfani
- Oscar Beijbom
- Felix X. Yu
Papers from Sreekanth Vempati's perspective
Ordered by how strongly the researchers Sreekanth Vempati 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Generalized RBF feature maps for Efficient Detection (2010) — 95 citations