Srikanth Muralidharan
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 393 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 55 citations into it; #15,830 of 21,575 by trust here, #12,689 by citations
- Artificial Intelligence — 32 citations into it; #27,772 of 35,345 by trust here, #32,362 by citations
- Efficiency & Compression — 15 citations into it
- Model Architectures — 10 citations into it
- Natural Language Processing — 5 citations into it
Whom Srikanth Muralidharan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Andrew Zisserman
- Yoshua Bengio
- Ilya Sutskever
- Kaiming He
- Alex Graves
- Diederik P. Kingma
Who trusts Srikanth Muralidharan overall
Papers from Srikanth Muralidharan's perspective
Ordered by how strongly the researchers Srikanth Muralidharan 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Hierarchical Deep Temporal Models for Group Activity Recognition (2016) — 518 citations
- Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization (2017) — 37 citations