2 papers
cs.CV2026
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…
cs.CV2025
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…