Tanir Ozcelebi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 113 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #17,830 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 25 citations into it; #29,051 of 35,345 by trust here, #33,294 by citations
• Representation & Self-Supervised Learning — 25 citations into it
• Signal Processing — 14 citations into it

Whom Tanir Ozcelebi trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Andrew Zisserman
5. Karen Simonyan
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. Kaiming He
10. Jimmy Ba

Who trusts Tanir Ozcelebi overall

1. Pritam Sarkar

Papers from Tanir Ozcelebi's perspective

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

Their papers

• Multi-task Self-Supervised Learning for Human Activity Detection (2019) — 335 citations