Berin Balachandar Gnana Sekar

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 156 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #19,350 of 21,575 by trust here, #10,500 by citations

Whom Berin Balachandar Gnana Sekar trusts overall

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

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

Who trusts Berin Balachandar Gnana Sekar overall

1. L. Leal-Taix'e
2. Bastian Leibe

Papers from Berin Balachandar Gnana Sekar's perspective

Ordered by how strongly the researchers Berin Balachandar Gnana Sekar 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Microsoft COCO: Common Objects in Context
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• MOTS: Multi-Object Tracking and Segmentation (2019) — 664 citations