Sabarinath Mahadevan

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 634 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 92 citations into it; #6,434 of 21,575 by trust here, #10,154 by citations
• Artificial Intelligence — 21 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Aerospace Engineering — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Sabarinath Mahadevan trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Liang-Chieh Chen
7. Yann LeCun
8. Andrew Zisserman
9. Yoshua Bengio
10. Karen Simonyan

Who trusts Sabarinath Mahadevan overall

1. J. Liew
2. Zheng Lin
3. Shiyin Zhang
4. Soumajit Majumder
5. Konstantin Sofiiuk
6. Rodrigo Benenson
7. Eirikur Agustsson
8. Scott D. Cohen
9. Vittorio Ferrari
10. Theodora Kontogianni

Papers from Sabarinath Mahadevan's perspective

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

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

Their papers

• Iteratively Trained Interactive Segmentation (2018) — 134 citations
• STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos (2020) — 190 citations