Ali Athar

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 336 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it
• Artificial Intelligence — 17 citations into it
• Optimization & Training — 5 citations into it

Whom Ali Athar trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. Christian Szegedy
7. Andrew Zisserman
8. Yann LeCun
9. Karen Simonyan
10. Yoshua Bengio

Who trusts Ali Athar overall

1. Yuxin Fang
2. Jiyang Qi
3. Xinggang Wang
4. Dongfang Liu
5. Ting-Li Chen
6. Maximilian Durner
7. Yang Liu
8. Yan Gao
9. Yu Li

Papers from Ali Athar's perspective

Ordered by how strongly the researchers Ali Athar 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. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos (2020) — 190 citations