Sam Hallman

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 3 papers; trusts 222 researchers and is trusted by 628 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #1,714 of 21,575 by trust here, #6,206 by citations
• Artificial Intelligence — 8 citations into it
• Media Technology — 8 citations into it

Whom Sam Hallman trusts overall

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

1. Piotr Doll'ar
2. J. Platt
3. Pablo Arbeláez
4. Zhuowen Tu
5. Xiaofeng Ren
6. Jitendra Malik
7. Ross B. Girshick
8. Geoffrey E. Hinton
9. Navneet Dalal
10. Alex Krizhevsky

Who trusts Sam Hallman overall

1. Anurag Arnab
2. Sanja Fidler
3. Bharath Hariharan
4. Jitendra Malik
5. Xiuyuan Cheng
6. Ziyu Zhang
7. Dan Xu
8. Mengyang Pu
9. Ruoxi Deng
10. Yun Liu

Papers from Sam Hallman's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Layered Object Models for Image Segmentation (2012) — 159 citations
• Layered object detection for multi-class segmentation (2010) — 114 citations
• Oriented edge forests for boundary detection (2014) — 179 citations