Hauke Strasdat
Computer Vision and Pattern Recognition · 2010–2019
A researcher in the Science corpus: 7 papers; trusts 63 researchers and is trusted by 140 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 83 citations into it; #2,817 of 21,575 by trust here, #2,322 by citations
- Aerospace Engineering — 75 citations into it; #187 of 6,421 by trust here, #255 by citations
- Geology — 15 citations into it; #433 of 687 by trust here, #85 by citations
- Electrical and Electronic Engineering — 14 citations into it; #4,739 of 16,539 by trust here, #9,011 by citations
- Artificial Intelligence — 11 citations into it
- Ocean Engineering — 6 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it
Whom Hauke Strasdat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Georg S. W. Klein
- Andrew J. Davison
- David Nistér
- Kurt Konolige
- David William Murray
- Michael Kaess
- Timothy A. Davis
- José M. M. Montiel
- Rainer Kümmerle
- Christopher Evans
Who trusts Hauke Strasdat overall
- Raul Mur-Artal
- Daniel Cremers
- Takafumi Taketomi
- Jakob J. Engel
- Francisco Angel Moreno
- Juan D. Tardós
- Jürgen Sturm
- Andrew J. Davison
- Stephan Weiss
- José M. M. Montiel
Papers from Hauke Strasdat's perspective
Ordered by how strongly the researchers Hauke Strasdat trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Multiple View Geometry in Computer Vision
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Histograms of oriented gradients for human detection
- Microsoft COCO: Common Objects in Context
Their papers
- The Replica Dataset: A Digital Replica of Indoor Spaces (2019) — 1,356 citations
- SLAM++: Simultaneous Localisation and Mapping at the Level of Objects (2013) — 998 citations
- G2o: A general framework for graph optimization (2011) — 2,451 citations
- Real-time monocular SLAM: Why filter? (2010) — 580 citations
- Scale Drift-Aware Large Scale Monocular SLAM (2010) — 576 citations
- Double window optimisation for constant time visual SLAM (2011) — 332 citations
- Visual SLAM: Why filter? (2012) — 487 citations