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cs.CV2026
CrowdCue: Specialist-Cue Conditioning for Vision-Language Crowd Counting
Moshiur Farazi, Bekir Ciftler, Abdulhalim Dandoush +1
Generative vision-language models (VLMs) offer a counting paradigm in which one model produces both a count and a natural-language account of the scene, yet their raw counting accu…
cs.CV2026
The Gate Always Closes: On Injecting Auxiliary Signals into Frozen Vision-Language Models
Moshiur Farazi, Sameera Ramasinghe, Bekir Sait Ciftler +2
Auxiliary signal pathways in VLMs are routinely fitted with learnable gates so the optimiser can decide how much of the signal to admit. We study what the optimiser decides, and wh…