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Haonan Miao

2 accepted papers

2025

Density-aware and Depth-aware Visual Representation for Zero-Shot Object Counting

ICASSP 2025accepted

Previous methods often utilize CLIP semantic classifiers with class names for zero-shot object counting. However, they ignore crucial density and depth knowledge for counting tasks. Thus, we propose a density-aware and depth-aware prompt counting model, which captures density information via learnin…

Cited by 0SourceScholar
2025

Using Depth-Enhanced Spatial Transformation for Student Gaze Target Estimation in Dual-View Classroom Images

ICASSP 2025accepted

Dual-view gaze target estimation in classroom environments has not been thoroughly explored. Existing methods lack consideration of depth information, primarily focusing on 2D image information and neglecting the latent 3D spatial context, which could lead to suboptimal transformation and cause the…

Cited by 0SourceScholar