3 papers
cs.CV2026
Scene-Centric Unsupervised Video Panoptic Segmentation
Christoph Reich, Oliver Hahn, Nikita Araslanov +4
Video panoptic segmentation (VPS) aims to jointly detect, segment, and track all objects while partitioning the video into semantically consistent regions. We introduce the task se…
cs.CV2026
SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding
Tanveer Hannan, Shuaicong Wu, Mark Weber +6
A truly capable AI system must do more than detect objects or recognize activities in isolation. It must form unified, grounded representations of who is acting, what they are doin…
cs.CV2026
NOOUGAT: Towards Unified Online and Offline Multi-Object Tracking
Benjamin Missaoui, Orcun Cetintas, Guillem Brasó +2
The long-standing division between \textit{online} and \textit{offline} Multi-Object Tracking (MOT) has led to fragmented solutions that fail to address the flexible temporal requi…