79 citations · 84 across the 7 of their papers we have counts for
7 papers
SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance
Yuanyou Xu, Zongxin Yang, Yi Yang
Powered by large-scale text-to-image generation models, text-to-3D avatar generation has made promising progress. However, most methods fail to produce photorealistic results, limi…
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
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). Joint tracking and segmentation have…
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking
Yuanyou Xu, Jiahao Li, Zongxin Yang +2
The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object tracking and segmentation. In…
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation
Jiahao Li, Yuanyou Xu, Zongxin Yang +2
The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object segmentation. In this study, w…
Video Object Segmentation in Panoptic Wild Scenes
Yuanyou Xu, Zongxin Yang, Yi Yang
In this paper, we introduce semi-supervised video object segmentation (VOS) to panoptic wild scenes and present a large-scale benchmark as well as a baseline method for it. Previou…
Segment and Track Anything
Yangming Cheng, Liulei Li, Yuanyou Xu +4
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. Additionally,…
Semantic Segmentation of Panoramic Images Using a Synthetic Dataset
Yuanyou Xu, Kaiwei Wang, Kailun Yang +2
Panoramic images have advantages in information capacity and scene stability due to their large field of view (FoV). In this paper, we propose a method to synthesize a new dataset…