Alptekin Temizel

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 163 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 15 citations into it

Whom Alptekin Temizel trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Piotr Doll'ar
7. Alex Krizhevsky
8. Jia Deng
9. Yann LeCun
10. Yoshua Bengio

Papers from Alptekin Temizel's perspective

Ordered by how strongly the researchers Alptekin Temizel 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Microsoft COCO: Common Objects in Context
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multi-modal Egocentric Activity Recognition using Audio-Visual Features (2018) — 10 citations
• Slicing Aided Hyper Inference and Fine-Tuning for Small Object Detection (2022) — 459 citations