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08/24/2023
EgoBlur: Responsible Innovation in Aria
Project Aria pushes the frontiers of Egocentric AI with large-scale real...
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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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06/10/2023
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
We introduce the Aria Digital Twin (ADT) - an egocentric dataset capture...
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05/25/2023
EgoHumans: An Egocentric 3D Multi-Human Benchmark
We present EgoHumans, a new multi-view multi-human video benchmark to ad...
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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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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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05/17/2022
Self-supervised Neural Articulated Shape and Appearance Models
Learning geometry, motion, and appearance priors of object classes is im...
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04/04/2022
LISA: Learning Implicit Shape and Appearance of Hands
This paper proposes a do-it-all neural model of human hands, named LISA....
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02/28/2022
ERF: Explicit Radiance Field Reconstruction From Scratch
We propose a novel explicit dense 3D reconstruction approach that proces...
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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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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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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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09/06/2018
