Arko Lucieer
Ecology · 2009–2018
A researcher in the Science corpus: 10 papers; trusts 105 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 58 citations into it
- Environmental Engineering — 53 citations into it; #585 of 5,479 by trust here, #496 by citations
- Computer Vision and Pattern Recognition — 34 citations into it
- Aerospace Engineering — 29 citations into it; #2,225 of 6,421 by trust here, #2,086 by citations
- Geology — 20 citations into it; #85 of 687 by trust here, #108 by citations
- Atmospheric Science — 19 citations into it
- Media Technology — 12 citations into it
- Ocean Engineering — 9 citations into it; #443 of 3,193 by trust here, #640 by citations
Whom Arko Lucieer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Noah Snavely
- Darren Turner
- Geert J. Verhoeven
- S. M. Seitz
- Yasutaka Furukawa
- Heiko Hirschmüller
- Richard Szeliski
- Christopher Evans
- Pablo J. Zarco-Tejada
Who trusts Arko Lucieer overall
- Jonathan P. Dandois
- Mark W. Smith
- Darren Turner
- Luke Wallace
- Jonathan L. Carrivick
- Erle C. Ellis
- H. Yao
- Lukas Roth
- M. Nowak
- Lin Cao
Papers from Arko Lucieer's perspective
Ordered by how strongly the researchers Arko Lucieer trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Object recognition from local scale-invariant features
Their papers
- Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows (2018) — 557 citations
- The Future of Earth Observation in Hydrology. (2017) — 453 citations
- 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
- Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery (2012) — 669 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
- Indirect effects of invasive species removal devastate World Heritage Island (2009) — 419 citations