Kalpathi Ramakrishnan

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 182 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #14,948 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 12 citations into it; #24,258 of 35,345 by trust here, #31,361 by citations

Whom Kalpathi Ramakrishnan trusts overall

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

1. Ivan Laptev
2. Shandong Wu
3. Mubarak Shah
4. Navneet Dalal
5. Cordelia Schmid
6. Heng Wang
7. Kishore K. Reddy
8. Saad Ali
9. Christian Schüldt
10. Mihir Jain

Who trusts Kalpathi Ramakrishnan overall

1. Fei Han
2. Yu-Gang Jiang

Papers from Kalpathi Ramakrishnan's perspective

Ordered by how strongly the researchers Kalpathi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Cause and Effect Analysis of Motion Trajectories for Modeling Actions (2014) — 44 citations