John Skinner

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 7

Top Topics

Background Subtraction

Scene Recognition

Object Detection

Top Venues

Nat. Mach. Intell.

Publications

David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
Probabilistic Object Detection: Definition and Evaluation. WACV (2020)
Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
What can robotics research learn from computer vision research? CoRR (2020)
John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
The Probabilistic Object Detection Challenge. CoRR (2019)
Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
What Can Robotics Research Learn from Computer Vision Research? ISRR (2019)
Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke
A probabilistic challenge for object detection. Nat. Mach. Intell. 1 (9) (2019)
David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. CoRR (2018)
John Skinner, Sourav Garg, Niko Sünderhauf, Peter I. Corke, Ben Upcroft, Michael Milford
High-fidelity simulation for evaluating robotic vision performance. IROS (2016)
Sokratis Makrogiannis, Rahul Bhotika, James V. Miller, John Skinner, Melissa Vass
Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures. MICCAI (1) (2009)