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 #10 on Visual Object Tracking on LaSOT
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.
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.
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.