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02/23/2023
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Humans can easily imagine the complete 3D geometry of occluded objects a...
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06/16/2022
Neural Scene Representation for Locomotion on Structured Terrain
We propose a learning-based method to reconstruct the local terrain for ...
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12/02/2021
Putting 3D Spatially Sparse Networks on a Diet
3D neural networks have become prevalent for many 3D vision tasks includ...
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08/31/2021
Self-Calibrating Neural Radiance Fields
In this work, we propose a camera self-calibration algorithm for generic...
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05/13/2021
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
We introduce DiscoBox, a novel framework that jointly learns instance se...
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06/22/2020
Generative Sparse Detection Networks for 3D Single-shot Object Detection
3D object detection has been widely studied due to its potential applica...
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05/17/2020
High-dimensional Convolutional Networks for Geometric Pattern Recognition
Many problems in science and engineering can be formulated in terms of g...
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04/24/2020
Deep Global Registration
We present Deep Global Registration, a differentiable framework for pair...
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03/27/2020
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
We present a novel approach to reconstructing lightweight, CAD-based rep...
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04/18/2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
In many robotics and VR/AR applications, 3D-videos are readily-available...
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08/11/2017