Sherdil Niyaz

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it

Whom Sherdil Niyaz trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Navneet Dalal
5. Ross B. Girshick
6. Bruno Siciliano
7. Ilya Sutskever
8. Lerrel Pinto

Who trusts Sherdil Niyaz overall

1. Jeffrey Mahler
2. Andy Zeng
3. Arsalan Mousavian
4. Douglas Morrison
5. Fei Xia

Papers from Sherdil Niyaz's perspective

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

Their papers

• Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics (2017) — 1,418 citations