most citedZero-shot Object Counting with Good Exemplars

1 citations · 1 across the 4 of their papers we have counts for

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cs.CV2025

HAD: Hierarchical Asymmetric Distillation to Bridge Spatio-Temporal Gaps in Event-Based Object Tracking

Yao Deng, Xian Zhong, Wenxuan Liu +3

RGB cameras excel at capturing rich texture details with high spatial resolution, whereas event cameras offer exceptional temporal resolution and a high dynamic range (HDR). Levera…

cs.CV2025

Expanding Zero-Shot Object Counting with Rich Prompts

Huilin Zhu, Senyao Li, Jingling Yuan +5

Expanding pre-trained zero-shot counting models to handle unseen categories requires more than simply adding new prompts, as this approach does not achieve the necessary alignment…

cs.CV2025

FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting

Huilin Zhu, Jingling Yuan, Zhengwei Yang +3

In class-agnostic object counting, the goal is to estimate the total number of object instances in an image without distinguishing between specific categories. Existing methods oft…

cs.CV2024

DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance Synergy

Yi Lei, Huilin Zhu, Jingling Yuan +3

Drone-based crowd tracking faces difficulties in accurately identifying and monitoring objects from an aerial perspective, largely due to their small size and close proximity to ea…

cs.CV2024★ 1 cited

Zero-shot Object Counting with Good Exemplars

Huilin Zhu, Jingling Yuan, Zhengwei Yang +4

Zero-shot object counting (ZOC) aims to enumerate objects in images using only the names of object classes during testing, without the need for manual annotations. However, a criti…