1.5k citations · 1.7k across the 59 of their papers we have counts for
3 papers · 1 filter
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation
Gedas Bertasius, Lorenzo Torresani
We introduce a method for simultaneously classifying, segmenting and tracking object instances in a video sequence. Our method, named MaskProp, adapts the popular Mask R-CNN to vid…
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Gedas Bertasius, Christoph Feichtenhofer, Du Tran +2
Modern approaches for multi-person pose estimation in video require large amounts of dense annotations. However, labeling every frame in a video is costly and labor intensive. To r…
Attentive Action and Context Factorization
Yang Wang, Vinh Tran, Gedas Bertasius +2
We propose a method for human action recognition, one that can localize the spatiotemporal regions that `define' the actions. This is a challenging task due to the subtlety of huma…