Ahmet S. Ozcan

Computer Vision and Pattern Recognition · 2018

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 — 16 citations into it

Whom Ahmet S. Ozcan trusts overall

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

1. Ronald J. Williams

Papers from Ahmet S. Ozcan's perspective

Ordered by how strongly the researchers Ahmet S. Ozcan 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. Long Short-Term Memory
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
6. ImageNet classification with deep convolutional neural networks
7. VQA: Visual Question Answering
8. FiLM: Visual Reasoning with a General Conditioning Layer
9. Gradient-based learning applied to document recognition
10. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Their papers

• On transfer learning using a MAC model variant (2018) — 9 citations