research
∙
08/04/2023
Robust Self-Supervised Extrinsic Self-Calibration
Autonomous vehicles and robots need to operate over a wide variety of sc...
share
research
∙
06/29/2023
Towards Zero-Shot Scale-Aware Monocular Depth Estimation
Monocular depth estimation is scale-ambiguous, and thus requires scale s...
research
∙
05/22/2023
NeRFuser: Large-Scale Scene Representation by NeRF Fusion
A practical benefit of implicit visual representations like Neural Radia...
research
∙
04/06/2023
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
Differentiable volumetric rendering is a powerful paradigm for 3D recons...
research
∙
08/27/2022
Neural Camera Models
Modern computer vision has moved beyond the domain of internet photo col...
research
∙
07/28/2022
Depth Field Networks for Generalizable Multi-view Scene Representation
Modern 3D computer vision leverages learning to boost geometric reasonin...
research
∙
12/06/2021
Self-Supervised Camera Self-Calibration from Video
Camera calibration is integral to robotics and computer vision algorithm...
research
∙
03/31/2021
Full Surround Monodepth from Multiple Cameras
Self-supervised monocular depth and ego-motion estimation is a promising...
research
∙
08/15/2020
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Self-supervised learning has emerged as a powerful tool for depth and eg...
research
∙
08/01/2019
DIODE: A Dense Indoor and Outdoor DEpth Dataset
We introduce DIODE, a dataset that contains thousands of diverse high re...
research
∙
11/17/2016
