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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…
Semantic Cross-View Matching
Francesco Castaldo, Amir Zamir, Roland Angst +2
Matching cross-view images is challenging because the appearance and viewpoints are significantly different. While low-level features based on gradient orientations or filter respo…
Action Recognition by Hierarchical Mid-level Action Elements
Tian Lan, Yuke Zhu, Amir Roshan Zamir +1
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…
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…