Bernhard Zeisl

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 286 researchers and is trusted by 224 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #2,552 of 21,575 by trust here, #10,154 by citations
• Aerospace Engineering — 21 citations into it
• Media Technology — 12 citations into it
• Geology — 10 citations into it; #180 of 687 by trust here, #217 by citations
• Artificial Intelligence — 7 citations into it
• Computational Mechanics — 7 citations into it
• 3D Vision & Pose — 6 citations into it

Whom Bernhard Zeisl trusts overall

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

1. David G. Lowe
2. Jamie Shotton
3. Jitendra Malik
4. Jerome H. Friedman
5. Geoffrey E. Hinton
6. Martial Hebert
7. Andrew E. Johnson
8. Alex Krizhevsky
9. Dorin Comaniciu
10. Andrew Zisserman

Who trusts Bernhard Zeisl overall

1. X. Wang
2. Abhinav Kumar Gupta
3. Iasonas Kokkinos
4. Zhongzheng Ren
5. Aayush Bansal
6. Pulkit Agrawal
7. David F. Fouhey
8. Bo Li
9. Priya Goyal
10. Daniel Scharstein

Papers from Bernhard Zeisl's perspective

Ordered by how strongly the researchers Bernhard Zeisl 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Discriminatively Trained Dense Surface Normal Estimation (2014) — 143 citations
• Automatic Registration of RGB-D Scans via Salient Directions (2013) — 51 citations
• Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation (2012) — 385 citations