2 citations · 2 across the 5 of their papers we have counts for
5 papers
SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps
Jakub Gregorek, Lazaros Nalpantidis
Even if the depth maps captured by RGB-D sensors deployed in real environments are often characterized by large areas missing valid depth measurements, the vast majority of depth c…
Robust Uncertainty Estimation for Classification of Maritime Objects
Jonathan Becktor, Frederik Scholler, Evangelos Boukas +1
We explore the use of uncertainty estimation in the maritime domain, showing the efficacy on toy datasets (CIFAR10) and proving it on an in-house dataset, SHIPS. We present a metho…
Lightweight Monocular Depth Estimation through Guided Decoding
Michael Rudolph, Youssef Dawoud, Ronja Güldenring +2
We present a lightweight encoder-decoder architecture for monocular depth estimation, specifically designed for embedded platforms. Our main contribution is the Guided Upsampling B…
Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware
Julia Hornauer, Lazaros Nalpantidis, Vasileios Belagiannis
Real-world perception systems in many cases build on hardware with limited resources to adhere to cost and power limitations of their carrying system. Deploying deep neural network…
Human-Machine Interface for Remote Training of Robot Tasks
Jordi Spranger, Roxana Buzatoiu, Athanasios Polydoros +2
Regardless of their industrial or research application, the streamlining of robot operations is limited by the proximity of experienced users to the actual hardware. Be it massive…