Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Shu, Xiujun"'
Autor:
Shu, Xiujun, Wen, Wei, Xu, Liangsheng, Qiao, Ruizhi, Guo, Taian, Li, Hanjun, Gan, Bei, Wang, Xiao, Sun, Xing
Video temporal character grouping locates appearing moments of major characters within a video according to their identities. To this end, recent works have evolved from unsupervised clustering to graph-based supervised clustering. However, graph met
Externí odkaz:
http://arxiv.org/abs/2308.14105
Temporal sentence grounding (TSG) aims to locate a specific moment from an untrimmed video with a given natural language query. Recently, weakly supervised methods still have a large performance gap compared to fully supervised ones, while the latter
Externí odkaz:
http://arxiv.org/abs/2308.04197
Movie highlights stand out of the screenplay for efficient browsing and play a crucial role on social media platforms. Based on existing efforts, this work has two observations: (1) For different annotators, labeling highlight has uncertainty, which
Externí odkaz:
http://arxiv.org/abs/2303.14768
Image and language modeling is of crucial importance for vision-language pre-training (VLP), which aims to learn multi-modal representations from large-scale paired image-text data. However, we observe that most existing VLP methods focus on modeling
Externí odkaz:
http://arxiv.org/abs/2208.09374
Autor:
Shu, Xiujun, Wen, Wei, Wu, Haoqian, Chen, Keyu, Song, Yiran, Qiao, Ruizhi, Ren, Bo, Wang, Xiao
Text-based person retrieval aims to find the query person based on a textual description. The key is to learn a common latent space mapping between visual-textual modalities. To achieve this goal, existing works employ segmentation to obtain explicit
Externí odkaz:
http://arxiv.org/abs/2208.08608
This technical report presents the 3rd winning solution for MTVG, a new task introduced in the 4-th Person in Context (PIC) Challenge at ACM MM 2022. MTVG aims at localizing the temporal boundary of the step in an untrimmed video based on a textual d
Externí odkaz:
http://arxiv.org/abs/2208.06179
Autor:
Shu, Xiujun, Li, Hanjun, Wen, Wei, Qiao, Ruizhi, Li, Nannan, Ruan, Weijian, Su, Hanjing, Wang, Bo, Chen, Shouzhi, Zhou, Jun
Publikováno v:
In Neurocomputing 1 February 2025 616
Person search in media has seen increasing potential in Internet applications, such as video clipping and character collection. This task is common but overlooked by previous person search works which focus on surveillance scenes. The media scenarios
Externí odkaz:
http://arxiv.org/abs/2111.13888
Publikováno v:
Image and Vision Computing 2021
There are many challenging problems in the person re-identification (ReID) task, such as the occlusion and scale variation. Existing works usually tried to solve them by employing a one-branch network. This one-branch network needs to be robust to va
Externí odkaz:
http://arxiv.org/abs/2111.05476
Publikováno v:
IET Image Processing 2022
Unsupervised video person re-identification (reID) methods usually depend on global-level features. And many supervised reID methods employed local-level features and achieved significant performance improvements. However, applying local-level featur
Externí odkaz:
http://arxiv.org/abs/2111.05170