30 citations · 60 across the 5 of their papers we have counts for
4 papers · 1 filter
Incremental Adversarial Domain Adaptation for Continually Changing Environments
Markus Wulfmeier, Alex Bewley, Ingmar Posner
Continuous appearance shifts such as changes in weather and lighting conditions can impact the performance of deployed machine learning models. While unsupervised domain adaptation…
What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics
Jeffrey Hawke, Alex Bewley, Ingmar Posner
This paper is about enabling robots to improve their perceptual performance through repeated use in their operating environment, creating local expert detectors fitted to the place…
Hierarchical Attentive Recurrent Tracking
Adam R. Kosiorek, Alex Bewley, Ingmar Posner
Class-agnostic object tracking is particularly difficult in cluttered environments as target specific discriminative models cannot be learned a priori. Inspired by how the human vi…
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation
Markus Wulfmeier, Alex Bewley, Ingmar Posner
Appearance changes due to weather and seasonal conditions represent a strong impediment to the robust implementation of machine learning systems in outdoor robotics. While supervis…