Unsupervised Semantic Action Discovery from Video Collections

no code implementations • 11 May 2016 • Ozan Sener, Amir Roshan Zamir, Chenxia Wu, Silvio Savarese, Ashutosh Saxena

Our method can also provide a textual description for each of the identified semantic steps and video segments.

Action Recognition by Hierarchical Mid-level Action Elements

no code implementations • ICCV 2015 • Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese

Realistic videos of human actions exhibit rich spatiotemporal structures at multiple levels of granularity: an action can always be decomposed into multiple finer-grained elements in both space and time.

Action Parsing Action Recognition +2

Video Classification using Semantic Concept Co-occurrences

no code implementations • CVPR 2014 • Shayan Modiri Assari, Amir Roshan Zamir, Mubarak Shah

We address the problem of classifying complex videos based on their content.

Classification General Classification +1

GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor

no code implementations • CVPR 2014 • Amir Roshan Zamir, Shervin Ardeshir, Mubarak Shah

We develop a robust method for identification and refinement of this subset using the rest of the images in the dataset.

TAG

UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

7 code implementations • 3 Dec 2012 • Khurram Soomro, Amir Roshan Zamir, Mubarak Shah

To the best of our knowledge, UCF101 is currently the most challenging dataset of actions due to its large number of classes, large number of clips and also unconstrained nature of such clips.

Action Recognition In Videos Skeleton Based Action Recognition +1