MORE'25 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities
Object re-identification (or object re-id) has gained significant attention in recent years, fueled by the increasing demand for advanced video analysis and safety systems. In object re-id, a query can be of different modalities, such as an image, a video, or natural language, containing or describing the object of interest. This workshop aims to bring together researchers, practitioners, and enthusiasts interested in object re-id to delve into the latest advancements, challenges, and opportunities in this dynamic field. The workshop covers a spectrum of topics related to object re-id, including but not limited to deep metric learning, multi-view data generation, video-based object re-id, cross-domain object re-id, and real-world applications. The workshop provides a platform for researchers to showcase their work, exchange ideas, and foster potential collaborations. Additionally, it serves as a valuable opportunity for practitioners to stay abreast of the latest developments in object re-id technology.
Authors
- Shuyu Yang (ORCID: https://orcid.org/0000-0003-0409-1467)
- Zhedong Zheng (ORCID: https://orcid.org/0000-0002-2434-9050)
- Yunzhong Hou (ORCID: https://orcid.org/0000-0002-6916-4789)
- Zhun Zhong (ORCID: https://orcid.org/0000-0002-8202-0544)
- Liang Zheng (ORCID: https://orcid.org/0000-0002-1464-9500)
- Yaxiong Wang (ORCID: https://orcid.org/0000-0001-6596-8117)
Institutions
- Australian National University (AU)
- University of Nottingham (GB)
- Hefei University of Technology (CN)
- University of Macau (MO)
- Xi'an Jiaotong University (CN)
Publication Details
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1145/3701716.3717657
- Primary Topic
- Advanced Image and Video Retrieval Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00