1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
Multi-view Tracking Using Weakly Supervised Human Motion Prediction
Martin Engilberge, Weizhe Liu, Pascal Fua
Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes. They often rely on the tracking-by-detection paradi…
cs.CV2022
Two-level Data Augmentation for Calibrated Multi-view Detection
Martin Engilberge, Haixin Shi, Zhiye Wang +1
Data augmentation has proven its usefulness to improve model generalization and performance. While it is commonly applied in computer vision application when it comes to multi-view…