23 citations · 47 across the 27 of their papers we have counts for
5 papers · 1 filter
Neurosymbolic Inference On Foundation Models For Remote Sensing Text-to-image Retrieval With Complex Queries
Emanuele Mezzi, Gertjan Burghouts, Maarten Kruithof
Text-to-image retrieval in remote sensing (RS) has advanced rapidly with the rise of large vision-language models (LVLMs) tailored for aerial and satellite imagery, culminating in…
Occlusion Robustness of CLIP for Military Vehicle Classification
Jan Erik van Woerden, Gertjan Burghouts, Lotte Nijskens +4
Vision-language models (VLMs) like CLIP enable zero-shot classification by aligning images and text in a shared embedding space, offering advantages for defense applications with s…
Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting
Frank Ruis, Gertjan Burghouts, Hugo Kuijf
Recent progress in large pre-trained vision language models (VLMs) has reached state-of-the-art performance on several object detection benchmarks and boasts strong zero-shot capab…
Self-Supervised Partial Cycle-Consistency for Multi-View Matching
Fedor Taggenbrock, Gertjan Burghouts, Ronald Poppe
Matching objects across partially overlapping camera views is crucial in multi-camera systems and requires a view-invariant feature extraction network. Training such a network with…
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
Eric Brouwer, Jan Erik van Woerden, Gertjan Burghouts +2
Few-shot, fine-grained classification in computer vision poses significant challenges due to the need to differentiate subtle class distinctions with limited data. This paper prese…