3 papers
cs.CV2026
Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Counting
Xiaowen Zhang, Zijie Yue, Yong Luo +3
Object counting is a fundamental task in computer vision, with broad applicability in many real-world scenarios. Fully-supervised counting methods require costly point-level annota…
cs.CV2025
A Birotation Solution for Relative Pose Problems
Hongbo Zhao, Ziwei Long, Mengtan Zhang +3
Relative pose estimation, a fundamental computer vision problem, has been extensively studied for decades. Existing methods either estimate and decompose the essential matrix or di…
cs.CV2025
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement
Zijie Yue, Miaojing Shi, Hanli Wang +3
Facial video-based remote physiological measurement is a promising research area for detecting human vital signs (e.g., heart rate, respiration frequency) in a non-contact way. Con…