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08/21/2023
Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance
Recent advances in Unmanned Aerial Vehicles (UAVs) have resulted in thei...
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07/24/2021
Going Deeper into Semi-supervised Person Re-identification
Person re-identification is the challenging task of identifying a person...
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06/03/2021
Learning and Executing Re-usable Behaviour Trees from Natural Language Instruction
Domestic and service robots have the potential to transform industries s...
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03/09/2021
DeepSeagrass Dataset
We introduce a dataset of seagrass images collected by a biologist snork...
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01/20/2021
Semi-supervised Keypoint Localization
Knowledge about the locations of keypoints of an object in an image can ...
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01/01/2021
ECG-Based Driver Stress Levels Detection System Using Hyperparameter Optimization
Stress and driving are a dangerous combination which can lead to crashes...
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12/02/2020
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
Image convolutions have been a cornerstone of a great number of deep lea...
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09/18/2020
Multi-species Seagrass Detection and Classification from Underwater Images
Underwater surveys conducted using divers or robots equipped with custom...
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08/26/2020
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
Learning embeddings that are invariant to the pose of the object is cruc...
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01/09/2020
Learning landmark guided embeddings for animal re-identification
Re-identification of individual animals in images can be ambiguous due t...
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03/29/2019
Improved Reinforcement Learning with Curriculum
Humans tend to learn complex abstract concepts faster if examples are pr...
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02/28/2019
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Visual identification of individual animals that bear unique natural bod...
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10/11/2018
Towards the Targeted Environment-Specific Evolution of Robot Components
This research considers the task of evolving the physical structure of a...
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03/29/2018
Learning Free-Form Deformations for 3D Object Reconstruction
Representing 3D shape in deep learning frameworks in an accurate, effici...
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01/25/2006