45 citations · 45 across the 3 of their papers we have counts for
3 papers
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…
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 find that the optimiser almost always de…
Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets
Abdulmalik Alwarafy, Bekir Sait Ciftler, Mohamed Abdallah +2
This paper considers the problem of cost-aware downlink sum-rate maximization via joint optimal radio access technologies (RATs) assignment and power allocation in next-generation…