4 papers · 1 filter
Language as Prior, Vision as Calibration: Metric Scale Recovery for Monocular Depth Estimation
Mingxia Zhan, Li Zhang, Beibei Wang +2
Relative-depth foundation models transfer well, yet monocular metric depth remains ill-posed due to unidentifiable global scale and heightened domain-shift sensitivity. Under a fro…
Focus for Free in Density-Based Counting
Zenglin Shi, Pascal Mettes, Cees G. M. Snoek
This work considers supervised learning to count from images and their corresponding point annotations. Where density-based counting methods typically use the point annotations onl…
Social Fabric: Tubelet Compositions for Video Relation Detection
Shuo Chen, Zenglin Shi, Pascal Mettes +1
This paper strives to classify and detect the relationship between object tubelets appearing within a video as a <subject-predicate-object> triplet. Where existing works treat obje…
Counting with Focus for Free
Zenglin Shi, Pascal Mettes, Cees G. M. Snoek
This paper aims to count arbitrary objects in images. The leading counting approaches start from point annotations per object from which they construct density maps. Then, their tr…