Darren Turner
Environmental Engineering · 2012–2016
A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 26 citations into it; #1,383 of 5,479 by trust here, #897 by citations
- Ecology — 21 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Aerospace Engineering — 14 citations into it; #2,199 of 6,421 by trust here, #2,086 by citations
- Geology — 14 citations into it; #161 of 687 by trust here, #137 by citations
- Atmospheric Science — 5 citations into it
Whom Darren Turner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arko Lucieer
- Noah Snavely
- Yasutaka Furukawa
- David G. Lowe
- Steve Harwin
- Mike R. James
- Geert J. Verhoeven
- Jose A. Jiménez-Berni
- S. M. Seitz
- Albert Rango
Who trusts Darren Turner overall
- Arko Lucieer
- Mark W. Smith
- Lukas Roth
- Luke Wallace
- Jonathan P. Dandois
- H. Yao
- A. Puttock
- Jonathan L. Carrivick
- Helge Aasen
- Guijun Yang
Papers from Darren Turner's perspective
Ordered by how strongly the researchers Darren Turner trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Object recognition from local scale-invariant features
- Online Submission ID: 0184 Photo Tourism: Exploring Photo Collections in 3D
- Modeling the World from Internet Photo Collections (International Journal of Computer Vision)
- Accurate, Dense, and Robust Multi-View Stereopsis
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds (2016) — 685 citations
- Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV) (2015) — 400 citations
- Direct Georeferencing of Ultrahigh-Resolution UAV Imagery (2014) — 371 citations
- Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds (2014) — 295 citations
- An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds (2012) — 726 citations
- Development of a UAV-LiDAR System with Application to Forest Inventory (2012) — 713 citations