Reetuparna Das

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it

Whom Reetuparna Das trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
3. X. Zhang (in Computer Vision and Pattern Recognition)
4. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Reetuparna Das's perspective

Ordered by how strongly the researchers Reetuparna Das 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. Caffe: Convolutional Architecture for Fast Feature Embedding
3. GradientBased Learning Applied to Document Recognition
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Improving the speed of neural networks on CPUs
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Do Deep Nets Really Need to be Deep?
10. Going deeper with convolutions

Their papers

• Scalpel: Customizing DNN pruning to the underlying hardware parallelism (2017) — 105 citations