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09/06/2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
We present a deep-dive into a real-world robotic learning system that, i...
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06/14/2023
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
We address a benchmark task in agile robotics: catching objects thrown a...
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07/14/2022
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops
Sim-to-real transfer is a powerful paradigm for robotic reinforcement le...
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06/15/2021
Scene Transformer: A unified multi-task model for behavior prediction and planning
Predicting the future motion of multiple agents is necessary for plannin...
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04/06/2021
Local Metrics for Multi-Object Tracking
This paper introduces temporally local metrics for Multi-Object Tracking...
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05/20/2020
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
This paper presents a novel 3D object detection framework that processes...
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12/10/2018
Learning to Drive from Simulation without Real World Labels
Simulation can be a powerful tool for understanding machine learning sys...
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12/02/2018
Deep Cosine Metric Learning for Person Re-Identification
Metric learning aims to construct an embedding where two extracted featu...
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09/27/2018
Dropout Distillation for Efficiently Estimating Model Confidence
We propose an efficient way to output better calibrated uncertainty scor...
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07/01/2018
Learning to Drive in a Day
We demonstrate the first application of deep reinforcement learning to a...
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06/14/2018
Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
Model interpretability and systematic, targeted model adaptation present...
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01/27/2018
Meshed Up: Learnt Error Correction in 3D Reconstructions
Dense reconstructions often contain errors that prior work has so far mi...
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12/20/2017
Incremental Adversarial Domain Adaptation for Continually Changing Environments
Continuous appearance shifts such as changes in weather and lighting con...
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12/20/2017
Incremental Adversarial Domain Adaptation
Continuous appearance shifts such as changes in weather and lighting con...
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08/07/2017
What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics
This paper is about enabling robots to improve their perceptual performa...
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06/28/2017
Hierarchical Attentive Recurrent Tracking
Class-agnostic object tracking is particularly difficult in cluttered en...
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03/21/2017
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking (SORT) is a pragmatic approach to mu...
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02/02/2016
Simple Online and Realtime Tracking
This paper explores a pragmatic approach to multiple object tracking whe...
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11/30/2015