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06/26/2023
Robust Wind Turbine Blade Segmentation from RGB Images in the Wild
With the relentless growth of the wind industry, there is an imperious n...
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02/21/2023
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
In this work, we study discrete morphological symmetries of dynamical sy...
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04/11/2022
Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation
Recovering multi-person 3D poses from a single RGB image is a severely i...
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03/18/2022
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification
A critical limitation of current methods based on Neural Radiance Fields...
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11/02/2021
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
We address the problem of multi-person 3D body pose and shape estimation...
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10/28/2021
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples
Learning controllers that reproduce legged locomotion in nature has been...
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10/06/2021
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
Automatically detecting graspable regions from a single depth image is a...
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09/05/2021
Stochastic Neural Radiance Fields:Quantifying Uncertainty in Implicit 3D Representations
Neural Radiance Fields (NeRF) has become a popular framework for learnin...
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07/08/2021
Uncertainty-Aware Camera Pose Estimation from Points and Lines
Perspective-n-Point-and-Line (PnPL) algorithms aim at fast, accurate, an...
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01/17/2021
Generating Attribution Maps with Disentangled Masked Backpropagation
Attribution map visualization has arisen as one of the most effective te...
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09/27/2018
Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View
We propose a method for predicting the 3D shape of a deformable surface ...
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09/27/2018
Unsupervised Person Image Synthesis in Arbitrary Poses
We present a novel approach for synthesizing photo-realistic images of p...
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07/24/2018