Subhashree Radhakrishnan
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 144 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it
- Artificial Intelligence — 27 citations into it
Whom Subhashree Radhakrishnan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Jifeng Dai
- Alex Krizhevsky
- Geoffrey E. Hinton
- David G. Lowe
- Yann LeCun
- Andrew Zisserman
- Karen Simonyan
- Yoshua Bengio
Papers from Subhashree Radhakrishnan's perspective
Ordered by how strongly the researchers Subhashree Radhakrishnan 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)