Deep Chakraborty

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 20 citations into it

Whom Deep Chakraborty trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Piotr Doll'ar
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Shaoqing Ren
7. Tsung-Yi Lin
8. Navneet Dalal
9. Yann LeCun
10. Yoshua Bengio

Papers from Deep Chakraborty's perspective

Ordered by how strongly the researchers Deep Chakraborty 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. Gradient-based learning applied to document recognition
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Histograms of oriented gradients for human detection
10. Going deeper with convolutions

Their papers

• Unsupervised Hard Example Mining from Videos for Improved Object Detection (2018) — 69 citations