Girish Malkarnenkar

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 185 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #2,707 of 21,575 by trust here, #4,658 by citations
• Artificial Intelligence — 15 citations into it; #16,330 of 35,345 by trust here, #8,365 by citations
• Natural Language Processing — 14 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Girish Malkarnenkar trusts overall

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

1. David L. Chen
2. Kishore K. Reddy
3. Ivan Laptev
4. Li-Jia Li
5. Chih-Jen Lin
6. Li Fei-Fei
7. Pedro F. Felzenszwalb
8. Geoffrey E. Hinton
9. Ross B. Girshick
10. Alex Krizhevsky

Who trusts Girish Malkarnenkar overall

1. Subhashini Venugopalan
2. Marcus Rohrbach
3. Chen Sun
4. Lisa Anne Hendricks
5. Shaoxiang Chen
6. Jeff Donahue
7. Haonan Yu
8. Kate Saenko
9. Chenyou Fan
10. Raymond J. Mooney

Papers from Girish Malkarnenkar's perspective

Ordered by how strongly the researchers Girish Malkarnenkar 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition (2013) — 505 citations
• Generating Natural-Language Video Descriptions Using Text-Mined Knowledge (2013) — 246 citations