2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
Wengang Guo, Jiayi Yang, Huilin Yin +2
Convolutional Neural Networks (CNNs) have exhibited great performance in discriminative feature learning for complex visual tasks. Besides discrimination power, interpretability is…
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
Linfeng Yuan, Miaojing Shi, Zijie Yue +1
Referring video object segmentation (RVOS) aims to segment the target instance referred by a given text expression in a video clip. The text expression normally contains sophistica…