Elif Sürer

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Elif Sürer trusts overall

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

1. Christopher K. I. Williams
2. Gunnar Farnebäck
3. Yoav Freund

Papers from Elif Sürer's perspective

Ordered by how strongly the researchers Elif Sürer trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning realistic human actions from movies
2. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Convolutional Two-Stream Network Fusion for Video Action Recognition
7. Long Short-Term Memory
8. Behavior recognition via sparse spatio-temporal features
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Multi-modal Egocentric Activity Recognition using Audio-Visual Features (2018) — 10 citations