Akhil S. Raju
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 1 paper; trusts 154 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #21,202 of 21,575 by trust here, #17,757 by citations
- Artificial Intelligence — 6 citations into it
- Cognitive Neuroscience — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Akhil S. Raju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yann LeCun
- Aditya Khosla
- Geoffrey E. Hinton
- Antonio Torralba
- Ross B. Girshick
- Yoshua Bengio
- Jianxiong Xiao
- Navneet Dalal
- Ilya Sutskever
Who trusts Akhil S. Raju overall
Papers from Akhil S. Raju's perspective
Ordered by how strongly the researchers Akhil S. Raju 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Understanding and Predicting Image Memorability at a Large Scale (2015) — 352 citations