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02/21/2023
Self-improving object detection via disagreement reconciliation
Object detectors often experience a drop in performance when new environ...
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02/07/2023
Look around and learn: self-improving object detection by exploration
Object detectors often experience a drop in performance when new environ...
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12/30/2019
SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion
Autonomous vehicles and mobile robotic systems are typically equipped wi...
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11/25/2019
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
We study the problem of efficient semantic segmentation for large-scale ...
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09/16/2019
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
Visual odometry shows excellent performance in a wide range of environme...
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03/04/2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Deep learning approaches for Visual-Inertial Odometry (VIO) have proven ...
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12/12/2018
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has been applied successfully to many ...
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09/07/2018
Neural Allocentric Intuitive Physics Prediction from Real Videos
Humans are able to make rich predictions about the future dynamics of ph...
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04/25/2018
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
The ability to interact and understand the environment is a fundamental ...
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04/16/2018
Defo-Net: Learning Body Deformation using Generative Adversarial Networks
Modelling the physical properties of everyday objects is a fundamental p...
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02/01/2018