Ekraam Sabir

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 8 citations into it

Whom Ekraam Sabir trusts overall

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

1. Kaiming He
2. François Chollet
3. Davis E. King
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Jeff Donahue
7. Alex Krizhevsky
8. Yoshua Bengio
9. Andrew Zisserman
10. Ross B. Girshick

Who trusts Ekraam Sabir overall

1. Thanh Thi Nguyen
2. Kaede Shiohara
3. Sohail Ahmed Khan
4. Hasam Khalid
5. Yuyang Qian
6. Irene Amerini
7. Rubén Tolosana
8. Iacopo Masi
9. Trisha Mittal
10. Tianchen Zhao

Papers from Ekraam Sabir's perspective

Ordered by how strongly the researchers Ekraam Sabir 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Recurrent Convolutional Strategies for Face Manipulation Detection in Videos (2019) — 581 citations