Nishant Agrawal
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 2 papers; trusts 153 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it; #6,125 of 21,575 by trust here, #6,485 by citations
- Artificial Intelligence — 28 citations into it
- Natural Language Processing — 19 citations into it
- Optimization & Training — 8 citations into it
- Computational Mechanics — 5 citations into it
Whom Nishant Agrawal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Simon Lacoste-Julien
- Martin Jaggi
- Andrew Zisserman
- Dekang Lin
- Geoffrey E. Hinton
- Andrea Vedaldi
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
Who trusts Nishant Agrawal overall
- Jean-Baptiste Alayrac
- Fadime Sener
- Simon Lacoste-Julien
- Antoine Miech
- Ivan Laptev
- De-An Huang
- Hilde Kuehne
Papers from Nishant Agrawal's perspective
Ordered by how strongly the researchers Nishant Agrawal 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Unsupervised Learning from Narrated Instruction Videos (2015) — 323 citations
- Learning from Narrated Instruction Videos (2015) — 23 citations