David Zuñiga-Noël
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it
- Aerospace Engineering — 31 citations into it
Whom David Zuñiga-Noël trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Georg S. W. Klein
- Christian Forster
- Raul Mur-Artal
- Juan D. Tardós
- Matia Pizzoli
- David William Murray
Papers from David Zuñiga-Noël's perspective
Ordered by how strongly the researchers David Zuñiga-Noël trusts endorse each paper. Same corpus, a different order for every researcher.
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- Parallel Tracking and Mapping for Small AR Workspaces
- A benchmark for the evaluation of RGB-D SLAM systems
- DTAM: Dense tracking and mapping in real-time
- Improving the Agility of Keyframe-Based SLAM (European Conference on Computer Vision)
- G2o: A general framework for graph optimization
- ORB: An efficient alternative to SIFT or SURF
- ORB-SLAM: A Versatile and Accurate Monocular SLAM System
- SVO: Fast semi-direct monocular visual odometry
- Direct Sparse Odometry (IEEE Transactions on Pattern Analysis and Machine Intelligence)
Their papers
- PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments (2017) — 534 citations