Daniel Kondermann

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #16,849 of 21,575 by trust here, #13,815 by citations
• Aerospace Engineering — 10 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Daniel Kondermann trusts overall

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

1. Heiko Hirschmüller
2. Andreas Geiger
3. Kellie J. Archer
4. Daniel Scharstein

Who trusts Daniel Kondermann overall

1. Raquel Urtasun
2. Alexander Gerhard Schwing
3. Wenjie Luo

Papers from Daniel Kondermann's perspective

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

1. Are we ready for autonomous driving? The KITTI vision benchmark suite
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
5. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
6. FlowNet: Learning Optical Flow with Convolutional Networks
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Random Forests
10. ImageNet: A large-scale hierarchical image database

Their papers

• Outdoor stereo camera system for the generation of real-world benchmark data sets (2012) — 73 citations
• Ensemble Learning for Confidence Measures in Stereo Vision (2013) — 123 citations
• A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields (2016) — 645 citations
• When Can We Use KinectFusion for Ground Truth Acquisition (2012) — 79 citations