Search Results for author:
Found 3 papers, 1 papers with code
Robust High-Resolution Video Matting with Temporal Guidance
We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance.
Human Action Recognition Across Datasets by Foreground-weighted Histogram Decomposition
This paper attempts to address the problem of recognizing human actions while training and testing on distinct datasets, when test videos are neither labeled nor available during training.
Ranked #2 on
Domain Adaptation
on UCF-to-Olympic
Multi-source Multi-scale Counting in Extremely Dense Crowd Images
Instead, our approach relies on multiple sources such as low confidence head detections, repetition of texture elements (using SIFT), and frequency-domain analysis to estimate counts, along with confidence associated with observing individuals, in an image region.
Ranked #21 on
Crowd Counting
on UCF CC 50
