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09/21/2023
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
We present NeuralLabeling, a labeling approach and toolset for annotatin...
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04/16/2023
TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation
Multi-modal fusion of sensors is a commonly used approach to enhance the...
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07/27/2022
Instance-specific 6-DoF Object Pose Estimation from Minimal Annotations
In many robotic applications, the environment setting in which the 6-DoF...
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03/24/2022
Object Memory Transformer for Object Goal Navigation
This paper presents a reinforcement learning method for object goal navi...
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11/07/2020
Rapid Pose Label Generation through Sparse Representation of Unknown Objects
Deep Convolutional Neural Networks (CNNs) have been successfully deploye...
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10/31/2020
Deep Reactive Planning in Dynamic Environments
The main novelty of the proposed approach is that it allows a robot to l...
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03/03/2020
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
In this paper, we consider the problem of building learning agents that ...
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07/27/2019
Learning Body Shape and Pose from Dense Correspondences
In this paper, we address the problem of learning 3D human pose and body...
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12/29/2018
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image
In this paper, we present Skeleton Transformer Networks (SkeletonNet), a...
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09/27/2016