3 citations · 5 across the 3 of their papers we have counts for
3 papers
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
Aleksandr Kim, Guillem Brasó, Aljoša Ošep +1
Most (3D) multi-object tracking methods rely on appearance-based cues for data association. By contrast, we investigate how far we can get by only encoding geometric relationships…
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation
Adrià Caelles, Tim Meinhardt, Guillem Brasó +1
Video Instance Segmentation (VIS) jointly tackles multi-object detection, tracking, and segmentation in video sequences. In the past, VIS methods mirrored the fragmentation of thes…
Multi-Object Tracking and Segmentation via Neural Message Passing
Guillem Braso, Orcun Cetintas, Laura Leal-Taixe
Graphs offer a natural way to formulate Multiple Object Tracking (MOT) and Multiple Object Tracking and Segmentation (MOTS) within the tracking-by-detection paradigm. However, they…