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04/04/2023
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation
Bird's-Eye View (BEV) features are popular intermediate scene representa...
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06/24/2022
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction
Reconstructing 3D objects is an important computer vision task that has ...
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08/30/2021
Scene Synthesis via Uncertainty-Driven Attribute Synchronization
Developing deep neural networks to generate 3D scenes is a fundamental p...
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08/21/2021
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
This paper introduces an unsupervised loss for training parametric defor...
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01/07/2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Pretraining on large labeled datasets is a prerequisite to achieve good ...
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06/10/2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
We introduce H3DNet, which takes a colorless 3D point cloud as input and...
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05/16/2019
Joint Learning of Neural Networks via Iterative Reweighted Least Squares
In this paper, we introduce the problem of jointly learning feed-forward...
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12/31/2018
Path-Invariant Map Networks
Optimizing a network of maps among a collection of objects/domains (or m...
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08/06/2018