175 citations · 216 across the 6 of their papers we have counts for
6 papers · 1 filter
Rapid Salient Object Detection with Difference Convolutional Neural Networks
Zhuo Su, Li Liu, Matthias Müller +4
This paper addresses the challenge of deploying salient object detection (SOD) on resource-constrained devices with real-time performance. While recent advances in deep neural netw…
L-MAGIC: Language Model Assisted Generation of Images with Coherence
Zhipeng Cai, Matthias Mueller, Reiner Birkl +6
In the current era of generative AI breakthroughs, generating panoramic scenes from a single input image remains a key challenge. Most existing methods use diffusion-based iterativ…
MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation
Reiner Birkl, Diana Wofk, Matthias Müller
We release MiDaS v3.1 for monocular depth estimation, offering a variety of new models based on different encoder backbones. This release is motivated by the success of transformer…
Monocular Visual-Inertial Depth Estimation
Diana Wofk, René Ranftl, Matthias Müller +1
We present a visual-inertial depth estimation pipeline that integrates monocular depth estimation and visual-inertial odometry to produce dense depth estimates with metric scale. O…
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
Shariq Farooq Bhat, Reiner Birkl, Diana Wofk +2
This paper tackles the problem of depth estimation from a single image. Existing work either focuses on generalization performance disregarding metric scale, i.e. relative depth es…
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
Diana Wofk, Fangchang Ma, Tien-Ju Yang +2
Depth sensing is a critical function for robotic tasks such as localization, mapping and obstacle detection. There has been a significant and growing interest in depth estimation f…