175 citations · 216 across the 6 of their papers we have counts for
7 papers
KernelFoundry: Hardware-aware evolutionary GPU kernel optimization
Nina Wiedemann, Quentin Leboutet, Michael Paulitsch +2
GPU kernel optimization challenges LLMs beyond standard coding tasks, as it requires an understanding of hardware architecture, parallel computing optimization strategies, and prof…
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…