Connor Wilhelm

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #17,645 of 21,575 by trust here, #21,103 by citations
• Human-Computer Interaction — 19 citations into it; #1,652 of 2,253 by trust here, #2,185 by citations
• Control and Systems Engineering — 15 citations into it
• 3D Vision & Pose — 8 citations into it; #603 of 689 by trust here, #679 by citations

Whom Connor Wilhelm trusts overall

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

1. Christiane Zimmermann
2. Franziska Mueller
3. Srinath Sridhar
4. Liuhao Ge
5. Javier Romero
6. Grégory Rogez
7. Gyeongsik Moon
8. Donglai Xiang
9. Hanbyul Joo
10. Shih-En Wei

Who trusts Connor Wilhelm overall

1. Fanqing Lin

Papers from Connor Wilhelm's perspective

Ordered by how strongly the researchers Connor Wilhelm 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet Large Scale Visual Recognition Challenge
5. ImageNet: A large-scale hierarchical image database
6. Microsoft COCO: Common Objects in Context
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Et al
10. Gradient-based learning applied to document recognition

Their papers

• Two-hand Global 3D Pose Estimation using Monocular RGB (2020) — 50 citations