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cs.CV2026
Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision
Yanick C. Tchenko, Felix Mohr, Hicham Hadj-Abdelkader +1
Efficient perception is central to robotic systems operating under constrained computation, memory, and latency budgets. Knowledge transfer from larger pretrained models offers a p…
cs.CV2026
Representation learning from OCT images
Hedi Tabia, Désiré Sidibé, Nawres Khlifa +6
Optical Coherence Tomography (OCT) has become one of the most used imaging modality in ophthalmology. It provides high-resolution, non-invasive visualization of retinal microarchit…
cs.CV2026
HiPP-Prune: Hierarchical Preference-Conditioned Structured Pruning for Vision-Language Models
Lincen Bai, Hedi Tabia, Raul Santos-Rodriguez
Pruning vision-language models (VLMs) for efficient deployment is challenging because compression can affect not only task utility but also visual grounding, often amplifying objec…