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Learning Discriminative Motion Features Through Detection
Gedas Bertasius, Christoph Feichtenhofer, Du Tran +2
Despite huge success in the image domain, modern detection models such as Faster R-CNN have not been used nearly as much for video analysis. This is arguably due to the fact that d…
Egocentric Basketball Motion Planning from a Single First-Person Image
Gedas Bertasius, Aaron Chan, Jianbo Shi
We present a model that uses a single first-person image to generate an egocentric basketball motion sequence in the form of a 12D camera configuration trajectory, which encodes a…
Object Detection in Video with Spatiotemporal Sampling Networks
Gedas Bertasius, Lorenzo Torresani, Jianbo Shi
We propose a Spatiotemporal Sampling Network (STSN) that uses deformable convolutions across time for object detection in videos. Our STSN performs object detection in a video fram…