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08/24/2023
Project Aria: A New Tool for Egocentric Multi-Modal AI Research
Egocentric, multi-modal data as available on future augmented reality (A...
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04/04/2023
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
Humans can orient themselves in their 3D environments using simple 2D ma...
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07/21/2022
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
Recognizing scenes and objects in 3D from a single image is a longstandi...
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06/04/2022
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation
This paper presents a framework that combines traditional keypoint-based...
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08/23/2021
ODAM: Object Detection, Association, and Mapping using Posed RGB Video
Localizing objects and estimating their extent in 3D is an important ste...
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05/11/2020
FroDO: From Detections to 3D Objects
Object-oriented maps are important for scene understanding since they jo...
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03/24/2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Efficiently reconstructing complex and intricate surfaces at scale is a ...
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03/12/2020
Analyzing Visual Representations in Embodied Navigation Tasks
Recent advances in deep reinforcement learning require a large amount of...
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06/13/2019
The Replica Dataset: A Digital Replica of Indoor Spaces
We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor s...
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04/03/2019
StereoDRNet: Dilated Residual Stereo Net
We propose a system that uses a convolution neural network (CNN) to esti...
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04/02/2019
Habitat: A Platform for Embodied AI Research
We present Habitat, a new platform for research in embodied artificial i...
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01/16/2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Computer graphics, 3D computer vision and robotics communities have prod...
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01/27/2018
Bayesian Nonparametric Modeling of Driver Behavior using HDP Split-Merge Sampling Algorithm
Modern vehicles are equipped with increasingly complex sensors. These se...
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09/18/2017
Direction-Aware Semi-Dense SLAM
To aide simultaneous localization and mapping (SLAM), future perception ...
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03/15/2016
Efficient Global Point Cloud Alignment using Bayesian Nonparametric Mixtures
Point cloud alignment is a common problem in computer vision and robotic...
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10/30/2015