Daniel Weinland

Computer Vision and Pattern Recognition · 2006–2011

A researcher in the Science corpus: 5 papers; trusts 410 researchers and is trusted by 568 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it; #1,765 of 21,575 by trust here, #2,401 by citations
• Artificial Intelligence — 25 citations into it; #4,771 of 35,345 by trust here, #9,968 by citations
• Biomedical Engineering — 25 citations into it; #116 of 10,734 by trust here, #896 by citations
• Human-Computer Interaction — 19 citations into it; #120 of 2,253 by trust here, #66 by citations
• 3D Vision & Pose — 7 citations into it; #649 of 689 by trust here, #648 by citations

Whom Daniel Weinland trusts overall

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

1. Alper Yilmaz
2. Tanveer Fathima Syeda-Mahmood
3. Mubarak Shah
4. Vasu Parameswaran
5. Lawrence R. Rabiner
6. Ivan Laptev
7. Piotr Doll'ar
8. Aaron F. Bobick
9. Alexei A. Efros
10. Navneet Dalal

Who trusts Daniel Weinland overall

1. Hossein Rahmani
2. Jingjing Zheng
3. Xiaogang Wang
4. Jingen Liu
5. Xinxiao Wu
6. Ajmal Saeed Mian
7. Mubarak Shah
8. Ali Farhadi
9. Sarvesh Vishwakarma
10. Zhuolin Jiang

Papers from Daniel Weinland's perspective

Ordered by how strongly the researchers Daniel Weinland 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A survey of vision-based methods for action representation, segmentation and recognition (2011) — 1,099 citations
• Action Recognition from Arbitrary Views using 3D Exemplars (2007) — 519 citations
• Free viewpoint action recognition using motion history volumes (2006) — 1,002 citations
• Making Action Recognition Robust to Occlusions and Viewpoint Changes (2010) — 263 citations
• Action Recognition from Arbitrary Views using 3 D Exemplars (2007)