Tal Hakim

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 116 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #15,005 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 21 citations into it
• Multimodal Learning — 14 citations into it
• Representation & Self-Supervised Learning — 6 citations into it; #2,363 of 3,145 by trust here, #2,957 by citations

Whom Tal Hakim trusts overall

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

1. Christian Szegedy
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Andrew Zisserman
8. Sergey Ioffe
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Tal Hakim overall

1. Yasufumi Moriya

Papers from Tal Hakim's perspective

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

Their papers

• Toward Self-Supervised Object Detection in Unlabeled Videos (2019) — 5 citations
• Learning to Detect and Retrieve Objects From Unlabeled Videos (2019) — 7 citations