Lloyd Windrim - RankMe

17 papers A* 1A 2B 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Changes in Real Time: Online Scene Change Detection with Multi-View Fusion. CoRR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2025	A*	`conf`	Multi-View Pose-Agnostic Change Localization with Zero Labels. CVPR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2024	J	`jnl`	Multi-View Pose-Agnostic Change Localization with Zero Labels. CoRR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2023	J	`jnl`	Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data. CoRR Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Raymond Leung
2020	J	`jnl`	Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning. Remote. Sens. Lloyd Windrim, Mitch Bryson
2020	J	`jnl`	Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning. CoRR James Allworth, Lloyd Windrim, Jeffrey Wardman, Daniel Kucharski, James Bennett, Mitch Bryson
2020	J	`jnl`	Tree Detection and Health Monitoring in Multispectral Aerial Imagery and Photogrammetric Pointclouds Using Machine Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lloyd Windrim, Angus J. Carnegie, Murray Webster, Mitch Bryson
2019	J	`jnl`	Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning. Remote. Sens. Lloyd Windrim, Mitch Bryson, Michael McLean, Jeremy Randle, Christine Stone
2019	A	`conf`	Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. IROS Lloyd Windrim, Mitch Bryson
2019	J	`jnl`	Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders. Remote. Sens. Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan
2018	J	`jnl`	A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images. IEEE Trans. Image Process. Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy
2018	J	`jnl`	Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. CoRR Lloyd Windrim, Mitch Bryson
2018	—	`—`	Illumination Invariant Deep Learning for Hyperspectral Data. Lloyd Windrim
2018	J	`jnl`	Pretraining for Hyperspectral Convolutional Neural Network Classification. IEEE Trans. Geosci. Remote. Sens. Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Rishi Ramakrishnan
2017	A	`conf`	Hyperspectral CNN Classification with Limited Training Samples. BMVC Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy
2016	J	`jnl`	Hyperspectral CNN Classification with Limited Training Samples. CoRR Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy
2016	B	`conf`	Unsupervised feature learning for illumination robustness. ICIP Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Juan I. Nieto