activity
20232026
most citedUVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Towards Consistent Video Geometry Estimation

Zhu Yu, Jingnan Gao, Runmin Zhang +9

This work presents ViGeo, a feed-forward foundation model for recovering spatially dense and temporally consistent geometry from video sequences. Built upon a plain transformer arc…

cs.CV2026

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers for Text-to-Image Generation

Yuxuan Yao, Yuxuan Chen, Hui Li +6

Multimodal Diffusion Transformers (MMDiTs) for text-to-image generation maintain separate text and image branches, with bidirectional information flow between text tokens and visua…

cs.CV2024★ 1 cited

MVImgNet2.0: A Larger-scale Dataset of Multi-view Images

Xiaoguang Han, Yushuang Wu, Luyue Shi +7

MVImgNet is a large-scale dataset that contains multi-view images of ~220k real-world objects in 238 classes. As a counterpart of ImageNet, it introduces 3D visual signals via mult…

cs.CV2023★ 5 cited

UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model

Zhenghao Zhang, Shengfan Zhang, Zhichao Wei +2

The current state-of-the-art methods for unsupervised video object segmentation (UVOS) require extensive training on video datasets with mask annotations, limiting their effectiven…

cs.CV2023★ 1 cited

Linguistic Query-Guided Mask Generation for Referring Image Segmentation

Zhichao Wei, Xiaohao Chen, Mingqiang Chen +1

Referring image segmentation aims to segment the image region of interest according to the given language expression, which is a typical multi-modal task. Existing methods either a…