NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (21)

cs.CV2017

Hierarchical Attentive Recurrent Tracking

Adam R. Kosiorek, Alex Bewley, Ingmar Posner

cs.CV2018

Dropout Distillation for Efficiently Estimating Model Confidence

Corina Gurau, Alex Bewley, Ingmar Posner

cs.RO2017

Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation

Markus Wulfmeier, Alex Bewley, Ingmar Posner

cs.CV2017

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks

Julie Dequaire, Dushyant Rao, Peter Ondruska +2

cs.CV2018

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Oliver Groth, Fabian B. Fuchs, Ingmar Posner +1

cs.RO2019

Probably Unknown: Deep Inverse Sensor Modelling In Radar

Rob Weston, Sarah Cen, Paul Newman +1

cs.LG2016

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks

Peter Ondruska, Julie Dequaire, Dominic Zeng Wang +1

stat.ML2018

Incremental Adversarial Domain Adaptation for Continually Changing Environments

Markus Wulfmeier, Alex Bewley, Ingmar Posner

cs.AI2017

Mutual Alignment Transfer Learning

Markus Wulfmeier, Ingmar Posner, Pieter Abbeel

cs.RO2016

Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments

Markus Wulfmeier, Dominic Zeng Wang, Ingmar Posner

cs.RO2017

Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy

Dan Barnes, Will Maddern, Ingmar Posner

cs.RO2014

Modelling Observation Correlations for Active Exploration and Robust Object Detection

Javier Velez, Garrett Hemann, Albert S. Huang +2

cs.RO2017

Resource-Performance Trade-off Analysis for Mobile Robot Design

Morteza Lahijanian, Maria Svorenova, Akshay A. Morye +6

cs.LG2018

TACO: Learning Task Decomposition via Temporal Alignment for Control

Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter +2

cs.LG2016

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

Peter Ondruska, Ingmar Posner

cs.LG2018

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner +1

cs.RO2018

Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments

Dan Barnes, Will Maddern, Geoffrey Pascoe +1

cs.RO2017

What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics

Jeffrey Hawke, Alex Bewley, Ingmar Posner

cs.RO2016

Incorporating Human Domain Knowledge into Large Scale Cost Function Learning

Markus Wulfmeier, Dushyant Rao, Ingmar Posner

cs.RO2017

Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks

Martin Engelcke, Dushyant Rao, Dominic Zeng Wang +2

cs.LG2016

Maximum Entropy Deep Inverse Reinforcement Learning

Markus Wulfmeier, Peter Ondruska, Ingmar Posner