92 citations · 153 across the 4 of their papers we have counts for
6 papers
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
M. Saquib Sarfraz, Naila Murray, Vivek Sharma +3
Action segmentation refers to inferring boundaries of semantically consistent visual concepts in videos and is an important requirement for many video understanding tasks. For this…
Virtual KITTI 2
Yohann Cabon, Naila Murray, Martin Humenberger
This paper introduces an updated version of the well-known Virtual KITTI dataset which consists of 5 sequence clones from the KITTI tracking benchmark. In addition, the dataset pro…
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
César Roberto de Souza, Adrien Gaidon, Yohann Cabon +2
Deep video action recognition models have been highly successful in recent years but require large quantities of manually annotated data, which are expensive and laborious to obtai…
End-to-End Saliency Mapping via Probability Distribution Prediction
Saumya Jetley, Naila Murray, Eleonora Vig
Most saliency estimation methods aim to explicitly model low-level conspicuity cues such as edges or blobs and may additionally incorporate top-down cues using face or text detecti…
Re-ID done right: towards good practices for person re-identification
Jon Almazan, Bojana Gajic, Naila Murray +1
Training a deep architecture using a ranking loss has become standard for the person re-identification task. Increasingly, these deep architectures include additional components th…
A deep architecture for unified aesthetic prediction
Naila Murray, Albert Gordo
Image aesthetics has become an important criterion for visual content curation on social media sites and media content repositories. Previous work on aesthetic prediction models in…