most citedOneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning

3 citations · 3 across the 6 of their papers we have counts for

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cs.CV2025

Shallow Features Matter: Hierarchical Memory with Heterogeneous Interaction for Unsupervised Video Object Segmentation

Zheng Xiangyu, He Songcheng, Li Wanyun +2

Unsupervised Video Object Segmentation (UVOS) aims to predict pixel-level masks for the most salient objects in videos without any prior annotations. While memory mechanisms have b…

cs.CV2025

Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation

Xiangyu Zheng, Wanyun Li, Songcheng He +3

Recent mainstream unsupervised video object segmentation (UVOS) motion-appearance approaches use either the bi-encoder structure to separately encode motion and appearance features…

cs.CV2024

X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation

Pinxue Guo, Wanyun Li, Hao Huang +7

Multi-modal Video Object Segmentation (VOS), including RGB-Thermal, RGB-Depth, and RGB-Event, has garnered attention due to its capability to address challenging scenarios where tr…

cs.CV2024★ 3 cited

OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning

Lingyi Hong, Shilin Yan, Renrui Zhang +8

Visual object tracking aims to localize the target object of each frame based on its initial appearance in the first frame. Depending on the input modility, tracking tasks can be d…

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…