3 papers
cs.CV2026
RECOUNT: Reference-guided Counting with Synthetic Visual Exemplars
Adriano D'Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
Text-guided zero-shot object counters excel at spatial localization but categorize poorly on novel or fine-grained classes: natural language is too coarse to fully specify visual i…
cs.CV2025
FiGO: Fine-Grained Object Counting without Annotations
Adriano D'Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
Class-agnostic counting (CAC) methods reduce annotation costs by letting users define what to count at test-time through text or visual exemplars. However, current open-vocabulary…
cs.CV2024
AFreeCA: Annotation-Free Counting for All
Adriano D'Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
Object counting methods typically rely on manually annotated datasets. The cost of creating such datasets has restricted the versatility of these networks to count objects from spe…