9 citations · 10 across the 8 of their papers we have counts for
4 papers · 1 filter
LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics
Lukas Kuhn, Lucas Maes, Giuseppe Serra +4
Video carries the temporal structure of the physical world, yet learning representations from it has remained computationally expensive: prevailing self-supervised methods either p…
LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives
Lukas Kuhn, Giuseppe Serra, Randall Balestriero +1
Vision-language pretraining remains dominated by contrastive objectives, whereas vision-only self-supervised learning has largely adopted non-contrastive methods. At the same time,…
Non-Contrastive Vision-Language Learning with Predictive Embedding Alignment
Lukas Kuhn, Giuseppe Serra, Florian Buettner
Vision-language models have transformed multimodal representation learning, yet dominant contrastive approaches like CLIP require large batch sizes, careful negative sampling, and…
Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention
Marcella Cornia, Lorenzo Baraldi, Giuseppe Serra +1
Image captioning has been recently gaining a lot of attention thanks to the impressive achievements shown by deep captioning architectures, which combine Convolutional Neural Netwo…