Sibt ul Hussain

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 137 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #11,391 of 21,575 by trust here, #17,258 by citations

Whom Sibt ul Hussain trusts overall

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

1. Manik Varma
2. Andrew Zisserman
3. Svetlana Lazebnik
4. Jianguo Zhang
5. Cordelia Schmid
6. Barbara Caputo
7. Thomas K. Leung
8. Eric Hayman
9. Jitendra Malik
10. Florent Perronnin

Who trusts Sibt ul Hussain overall

1. Anne Humeau-Heurtier
2. Mircea Cimpoi
3. Karen Simonyan
4. Subhransu Maji
5. Andrea Vedaldi

Papers from Sibt ul Hussain's perspective

Ordered by how strongly the researchers Sibt ul Hussain 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis (2012) — 142 citations