collaborators

5 papers

cs.CV2024

PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation

Shilin Yan, Xiaohao Xu, Renrui Zhang +4

Panoramic videos contain richer spatial information and have attracted tremendous amounts of attention due to their exceptional experience in some fields such as autonomous driving…

cs.CV2024

LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation

Lingyi Hong, Zhongying Liu, Wenchao Chen +9

Video object segmentation (VOS) aims to distinguish and track target objects in a video. Despite the excellent performance achieved by off-the-shell VOS models, existing VOS benchm…

cs.CV2024

OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework

Wanyun Li, Pinxue Guo, Xinyu Zhou +5

Contemporary Video Object Segmentation (VOS) approaches typically consist stages of feature extraction, matching, memory management, and multiple objects aggregation. Recent advanc…

cs.CV2024

ClickVOS: Click Video Object Segmentation

Pinxue Guo, Lingyi Hong, Xinyu Zhou +7

Video Object Segmentation (VOS) task aims to segment objects in videos. However, previous settings either require time-consuming manual masks of target objects at the first frame d…

cs.CV2024

Reading Relevant Feature from Global Representation Memory for Visual Object Tracking

Xinyu Zhou, Pinxue Guo, Lingyi Hong +4

Reference features from a template or historical frames are crucial for visual object tracking. Prior works utilize all features from a fixed template or memory for visual object t…