Showing cs.CVShow all
3 papers · 1 filter
cs.CV2025
ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
Yiming Ma, Victor Sanchez, Tanaya Guha
Most crowd counting methods directly regress blockwise density maps using Mean Squared Error (MSE) losses. This practice has two key limitations: (1) it fails to account for the ex…
cs.CV2025
Interact with me: Joint Egocentric Forecasting of Intent to Interact, Attitude and Social Actions
Tongfei Bian, Yiming Ma, Mathieu Chollet +2
For efficient human-agent interaction, an agent should proactively recognize their target user and prepare for upcoming interactions. We formulate this challenging problem as the n…
cs.CV2025
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification
Yiming Ma, Victor Sanchez, Tanaya Guha
We propose CLIP-EBC, the first fully CLIP-based model for accurate crowd density estimation. While the CLIP model has demonstrated remarkable success in addressing recognition task…