95 citations · 98 across the 4 of their papers we have counts for
4 papers
Track Anything: Segment Anything Meets Videos
Jinyu Yang, Mingqi Gao, Zhe Li +3
Recently, the Segment Anything Model (SAM) gains lots of attention rapidly due to its impressive segmentation performance on images. Regarding its strong ability on image segmentat…
Learning Dual-Fused Modality-Aware Representations for RGBD Tracking
Shang Gao, Jinyu Yang, Zhe Li +3
With the development of depth sensors in recent years, RGBD object tracking has received significant attention. Compared with the traditional RGB object tracking, the addition of t…
Prompting for Multi-Modal Tracking
Jinyu Yang, Zhe Li, Feng Zheng +2
Multi-modal tracking gains attention due to its ability to be more accurate and robust in complex scenarios compared to traditional RGB-based tracking. Its key lies in how to fuse…
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
Xiaosu Zhu, Jingkuan Song, Lianli Gao +2
Modeling latent variables with priors and hyperpriors is an essential problem in variational image compression. Formally, trade-off between rate and distortion is handled well if p…