no code implementations • 13 Dec 2023 • Yuanyou Xu, Zongxin Yang, Yi Yang
For geometry, we propose to constrain the optimized avatar in a decent global shape with a template avatar.
1 code implementation • ICCV 2023 • Yuanyou Xu, Zongxin Yang, Yi Yang
Tracking any given object(s) spatially and temporally is a common purpose in Visual Object Tracking (VOT) and Video Object Segmentation (VOS).
Ranked #2 on Visual Object Tracking on GOT-10k
no code implementations • 5 Jul 2023 • Yuanyou Xu, Jiahao Li, Zongxin Yang, Yi Yang, Yueting Zhuang
MSDeAOT efficiently propagates object masks from previous frames to the current frame using two feature scales of 16 and 8.
no code implementations • 5 Jul 2023 • Jiahao Li, Yuanyou Xu, Zongxin Yang, Yi Yang, Yueting Zhuang
The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object segmentation.
1 code implementation • 11 May 2023 • Yangming Cheng, Liulei Li, Yuanyou Xu, Xiaodi Li, Zongxin Yang, Wenguan Wang, Yi Yang
This report presents a framework called Segment And Track Anything (SAMTrack) that allows users to precisely and effectively segment and track any object in a video.
2 code implementations • 8 May 2023 • Yuanyou Xu, Zongxin Yang, Yi Yang
Considering the challenges in panoptic VOS, we propose a strong baseline method named panoptic object association with transformers (PAOT), which uses panoptic identification to associate objects with a pyramid architecture on multiple scales.
1 code implementation • 2 Sep 2019 • Yuanyou Xu, Kaiwei Wang, Kailun Yang, Dongming Sun, Jia Fu
In addition, it has been shown that by using panoramic images with a 180 degree FoV as training data the model has better performance.