23 citations · 90 across the 22 of their papers we have counts for
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cs.CV2025
Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption
Johann-Friedrich Feiden, Tim Küchler, Denis Zavadski +2
Depth estimation from monocular video has become a key component of many real-world computer vision systems. Recently, Video Depth Anything (VDA) has demonstrated strong performanc…
cs.CV2025
Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C.Elegans
Christoph Karg, Sebastian Stricker, Lisa Hutschenreiter +2
In this work we present a novel approach for unsupervised multi-graph matching, which applies to problems for which a Gaussian distribution of keypoint features can be assumed. We…