Julian Eggert

Computer Vision and Pattern Recognition · 2004–2015

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #5,742 of 21,575 by trust here, #16,367 by citations

Whom Julian Eggert trusts overall

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

1. Daniel Scharstein
2. Andreas Geiger
3. Christoph Vogel
4. Koichiro Yamaguchi
5. Richard Szeliski
6. Heiko Hirschmüller
7. Daniel D. Lee
8. Raquel Urtasun

Who trusts Julian Eggert overall

1. John R. Hershey
2. Mikkel N. Schmidt
3. Morten Mørup
4. J. Kolter
5. Vishal Monga
6. Alexey Ozerov
7. Shinji Watanabe
8. Lars Kai Hansen
9. Rasmus Kongsgaard Olsson
10. Jonathan Le Roux

Papers from Julian Eggert's perspective

Ordered by how strongly the researchers Julian Eggert 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. Are we ready for autonomous driving? The KITTI vision benchmark suite
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A multi-block-matching approach for stereo (2015) — 44 citations
• Learning viewpoint invariant object representations using a temporal coherence principle (2005) — 63 citations
• Sparse coding and NMF (2004) — 337 citations