Jul 2, 2024 · We propose a concise 3D MVC framework called \textbf{CountFormer}to elevate multi-view image-level features to a scene-level volume representation.

Multi-view counting (MVC) methods have shown their su- periority over single-view counterparts, particularly in situations charac- terized by heavy occlusion ...

Jul 8, 2024 · CountFormer is a concise 3D multi-view counting (MVC) framework towards deployment in real-world deployment. We creatively design a ...

In this work, we propose a concise 3D MVC framework called CountFormer to elevate multi-view image-level features to a scene-level volume representation and ...

Segmentation Assisted U-shaped Multi-scale Transformer for Crowd Counting (BMVC) [paper] ... Vision Transformer for Crowd Counting (BMVC) [paper] [code] ...

Deep learning based multi-view crowd counting (MVCC) has been proposed to handle scenes with large size, in irregular shape or with severe occlusions. The ...

Dec 1, 2024 · Multi-view crowd counting has been previously proposed to utilize multi-cameras to extend the field-of-view of a single camera, capturing more ...

CVCS is a synthetic multi-view people dataset, containing 31 scenes, where 23 are for training and the rest 8 for testing.

Convolutional embedding makes hierarchical vision transformer stronger. C ... CountFormer: Multi-view Crowd Counting Transformer. H Mo, X Zhang, J Tan, C ...

PETS2009 dataset [5] is a multi-view (MV) video sequence that captures crowd activities from 8 different viewpoints. As is standard practice, we use views. C1, ...