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cs.CV2025
With Great Context Comes Great Prediction Power: Classifying Objects via Geo-Semantic Scene Graphs
Ciprian Constantinescu, Marius Leordeanu
Humans effortlessly identify objects by leveraging a rich understanding of the surrounding scene, including spatial relationships, material properties, and the co-occurrence of oth…
cs.CV2025
Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning
Pîrvu Mihai-Cristian, Marius Leordeanu
The computer vision domain has greatly benefited from an abundance of data across many modalities to improve on various visual tasks. Recently, there has been a lot of focus on sel…
cs.CV2025
Multi-modal video data-pipelines for machine learning with minimal human supervision
Mihai-Cristian Pîrvu, Marius Leordeanu
The real-world is inherently multi-modal at its core. Our tools observe and take snapshots of it, in digital form, such as videos or sounds, however much of it is lost. Similarly f…