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cs.CV2025
CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text
Anju Rani, Daniel Ortiz-Arroyo, Petar Durdevic
Understanding the temporal dynamics of biological growth is critical across diverse fields such as microbiology, agriculture, and biodegradation research. Although vision-language…
cs.CV2025
FungalZSL: Zero-Shot Fungal Classification with Image Captioning Using a Synthetic Data Approach
Anju Rani, Daniel O. Arroyo, Petar Durdevic
The effectiveness of zero-shot classification in large vision-language models (VLMs), such as Contrastive Language-Image Pre-training (CLIP), depends on access to extensive, well-a…
cs.CV2025
Synthetic Fungi Datasets: A Time-Aligned Approach
A. Rani, D. O. Arroyo, P. Durdevic
Fungi undergo dynamic morphological transformations throughout their lifecycle, forming intricate networks as they transition from spores to mature mycelium structures. To support…