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08/14/2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
Accurately detecting objects in the environment is a key challenge for a...
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04/18/2023
GoferBot: A Visual Guided Human-Robot Collaborative Assembly System
The current transformation towards smart manufacturing has led to a grow...
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03/24/2023
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
Multimodal alignment facilitates the retrieval of instances from one mod...
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03/11/2023
3DInAction: Understanding Human Actions in 3D Point Clouds
We propose a novel method for 3D point cloud action recognition. Underst...
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08/18/2022
GraVoS: Gradient based Voxel Selection for 3D Detection
3D object detection within large 3D scenes is challenging not only due t...
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12/02/2021
CloudWalker: 3D Point Cloud Learning by Random Walks for Shape Analysis
Point clouds are gaining prominence as a method for representing 3D shap...
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06/21/2021
DiGS : Divergence guided shape implicit neural representation for unoriented point clouds
Neural shape representations have recently shown to be effective in shap...
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07/01/2020
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
The availability of a large labeled dataset is a key requirement for app...
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04/24/2020
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
We introduce a new deep learning method for point cloud comparison. Our ...
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03/23/2020
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares
We propose a surface fitting method for unstructured 3D point clouds. Th...
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12/03/2018
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
In this paper, we propose a normal estimation method for unstructured 3D...
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11/22/2017