Sebastien Glaser
Computer Vision and Pattern Recognition · 2010–2020
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 74 citations into it
- Aerospace Engineering — 70 citations into it
- Automotive Engineering — 33 citations into it
- Artificial Intelligence — 25 citations into it
- Electrical and Electronic Engineering — 18 citations into it
- Computer Networks and Communications — 8 citations into it
Whom Sebastien Glaser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paolo Falcone
- David G. Lowe
- Sebastian Thrun
- Andrew J. Davison
- Steven M. LaValle
- Franz Aurenhammer
- Simon Justin Julier
- Paul M. Newman
- Wolfram Burgard
Who trusts Sebastien Glaser overall
Papers from Sebastien Glaser's perspective
Ordered by how strongly the researchers Sebastien Glaser 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)
- Real-time simultaneous localisation and mapping with a single camera (Proceedings Ninth IEEE International Conference on Computer Vision)
- G2o: A general framework for graph optimization
- ImageNet: A large-scale hierarchical image database
- Robust wide-baseline stereo from maximally stable extremal regions
- Gradient-based learning applied to document recognition
- Et al
- Histograms of oriented gradients for human detection
Their papers
- Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017) — 782 citations
- A Review of Motion Planning for Highway Autonomous Driving (2020) — 608 citations
- Maneuver-Based Trajectory Planning for Highly Autonomous Vehicles on Real Road With Traffic and Driver Interaction (2010) — 325 citations