research
∙
07/20/2023
Kick Back Relax: Learning to Reconstruct the World by Watching SlowTV
Self-supervised monocular depth estimation (SS-MDE) has the potential to...
share
research
∙
04/14/2023
The Second Monocular Depth Estimation Challenge
This paper discusses the results for the second edition of the Monocular...
research
∙
11/22/2022
The Monocular Depth Estimation Challenge
This paper summarizes the results of the first Monocular Depth Estimatio...
research
∙
08/02/2022
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
This paper presents an open and comprehensive framework to systematicall...
research
∙
04/12/2022
Medusa: Universal Feature Learning via Attentional Multitasking
Recent approaches to multi-task learning (MTL) have focused on modelling...
research
∙
03/30/2020
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning
In the current monocular depth research, the dominant approach is to emp...
research
∙
03/30/2020
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance
"Like night and day" is a commonly used expression to imply that two thi...
research
∙
03/25/2019
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
How do computers and intelligent agents view the world around them? Feat...
research
∙
11/19/2018