Kandan Ramakrishnan

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 238 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it
• Artificial Intelligence — 53 citations into it
• Model Architectures — 8 citations into it

Whom Kandan Ramakrishnan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. Yann LeCun
7. Yoshua Bengio
8. Andrew Zisserman
9. Karen Simonyan
10. Piotr Doll'ar

Who trusts Kandan Ramakrishnan overall

1. Liyuan Wang

Papers from Kandan Ramakrishnan's perspective

Ordered by how strongly the researchers Kandan Ramakrishnan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Moments in Time Dataset: One Million Videos for Event Understanding (2018) — 632 citations
• Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors (2020) — 12 citations