Munir Oudah

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Human-Computer Interaction — 8 citations into it

Whom Munir Oudah trusts overall

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

1. Robert Y. Wang
2. Liuhao Ge
3. Qing Chen
4. Yujun Cai
5. Juan Pablo Wachs
6. Jovan Popovic
7. Jonathan Taylor
8. Nicolas D. Georganas
9. Mathias Kölsch
10. Jianfei Cai

Papers from Munir Oudah's perspective

Ordered by how strongly the researchers Munir Oudah 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 Large Scale Visual Recognition Challenge
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Weakly-Supervised 3D Hand Pose Estimation from Monocular RGB Images
6. Learning Multiple Layers of Features from Tiny Images
7. Gradient-based learning applied to document recognition
8. 3D Hand Shape and Pose Estimation From a Single RGB Image (Computer Vision and Pattern Recognition)
9. Et al
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Hand Gesture Recognition Based on Computer Vision: A Review of Techniques (2020) — 532 citations