Subhabrata Choudhury

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 244 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #16,174 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 32 citations into it; #26,457 of 35,345 by trust here, #19,439 by citations
• Natural Language Processing — 5 citations into it

Whom Subhabrata Choudhury trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Karen Simonyan
6. Ross B. Girshick
7. Yoshua Bengio
8. Ilya Sutskever
9. Tomas Mikolov
10. Yann LeCun

Who trusts Subhabrata Choudhury overall

1. Chong Zhou
2. Golnaz Ghiasi
3. Fabio Cermelli
4. Ping Hu
5. Chen Change Loy
6. Peike Li
7. Naoki Kato
8. Mengde Xu
9. Xiuye Gu
10. Jian Ding

Papers from Subhabrata Choudhury's perspective

Ordered by how strongly the researchers Subhabrata Choudhury 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. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Semantic Projection Network for Zero- and Few-Label Semantic Segmentation (2019) — 294 citations