5 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
JEPADepth: Masked Predictive Representation Learning for Self-Supervised Monocular Depth Estimation
Ionuţ Grigore, Călin-Adrian Popa
Self-supervised monocular depth estimation typically relies on photometric reconstruction losses that couple depth, pose, and appearance assumptions. In this paper, we propose JEPA…
FPC-Net: Revisiting SuperPoint with Descriptor-Free Keypoint Detection via Feature Pyramids and Consistency-Based Implicit Matching
Ionuţ Grigore, Călin-Adrian Popa, Claudiu Leoveanu-Condrei
The extraction and matching of interest points are fundamental to many geometric computer vision tasks. Traditionally, matching is performed by assigning descriptors to interest po…
MambaDepth: Enhancing Long-range Dependency for Self-Supervised Fine-Structured Monocular Depth Estimation
Ionuţ Grigore, Călin-Adrian Popa
In the field of self-supervised depth estimation, Convolutional Neural Networks (CNNs) and Transformers have traditionally been dominant. However, both architectures struggle with…
XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images
Julia Dima, Pablo Gómez, Sandor Kruk +3
Reflected or scattered light produce artefacts in astronomical observations that can negatively impact the scientific study. Hence, automated detection of these artefacts is highly…