Srinivas S. S. Kruthiventi

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 343 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #6,924 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 19 citations into it; #14,560 of 35,345 by trust here, #19,439 by citations
• Cognitive Neuroscience — 13 citations into it; #3,912 of 10,852 by trust here, #6,526 by citations
• Sensory Systems — 11 citations into it
• Model Architectures — 6 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Srinivas S. S. Kruthiventi trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Ilya Sutskever
6. Kaiming He
7. Christian Szegedy
8. Ross B. Girshick
9. Yoshua Bengio
10. Yann LeCun

Who trusts Srinivas S. S. Kruthiventi overall

1. Wenguan Wang
2. Vishwanath A. Sindagi
3. Marcella Cornia
4. Matthias Kümmerer
5. Jianbing Shen
6. Junting Pan
7. Michael Figurnov
8. Vishal M. Patel
9. Xiaoheng Jiang
10. Lorenzo Baraldi

Papers from Srinivas S. S. Kruthiventi's perspective

Ordered by how strongly the researchers Srinivas S. S. Kruthiventi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations (2015) — 512 citations
• CrowdNet: A Deep Convolutional Network for Dense Crowd Counting (2016) — 575 citations