Poster · Paris

ViewSAM: Learning View-aware Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking

Name: ViewSAM: Learning View-aware Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking
Start: 2026-12-09T12:30:00+01:00
End: 2026-12-09T14:30:00+01:00
Location: Paris Poster Hall, Paris

When: Wed 9 Dec 2026, 12:30–14:30 CET
Where: Paris Poster Hall
Session: Paris Poster Session 1
Authors: Jiawei Ge, Xintian Zhang, Jiuxin Cao, Bo Liu, Fabian Deuser, Chang Liu, Gong Wenkang, Siyou Li, Juexi Shao, Wenqing Wu, Chen Feng, Ioannis Patras
Organisations: Southeast University, University of the Bundeswehr Munich, Queen Mary University of London, Nanjing University of Science and Technology, Queen's University Belfast, Huawei
QRS classification: Computer vision

Open in schedule Official page