533 citations · 1k across the 30 of their papers we have counts for
9 papers · 1 filter
Human Centred Object Co-Segmentation
Chenxia Wu, Jiemi Zhang, Ashutosh Saxena +1
Co-segmentation is the automatic extraction of the common semantic regions given a set of images. Different from previous approaches mainly based on object visuals, in this paper,…
Unsupervised Semantic Action Discovery from Video Collections
Ozan Sener, Amir Roshan Zamir, Chenxia Wu +2
Human communication takes many forms, including speech, text and instructional videos. It typically has an underlying structure, with a starting point, ending, and certain objectiv…
Watch-n-Patch: Unsupervised Learning of Actions and Relations
Chenxia Wu, Jiemi Zhang, Ozan Sener +3
There is a large variation in the activities that humans perform in their everyday lives. We consider modeling these composite human activities which comprises multiple basic level…
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese +1
Deep Recurrent Neural Network architectures, though remarkably capable at modeling sequences, lack an intuitive high-level spatio-temporal structure. That is while many problems in…
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture
Ashesh Jain, Avi Singh, Hema S Koppula +2
Anticipating the future actions of a human is a widely studied problem in robotics that requires spatio-temporal reasoning. In this work we propose a deep learning approach for ant…
Unsupervised Semantic Parsing of Video Collections
Ozan Sener, Amir Zamir, Silvio Savarese +1
Human communication typically has an underlying structure. This is reflected in the fact that in many user generated videos, a starting point, ending, and certain objective steps b…