4 papers
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
Oytun Ulutan, A S M Iftekhar, B. S. Manjunath
Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main o…
Actor Conditioned Attention Maps for Video Action Detection
Oytun Ulutan, Swati Rallapalli, Mudhakar Srivatsa +2
While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context. The surrounding context provides essential information…
Object Localization and Size Estimation from RGB-D Images
ShreeRanjani SrirangamSridharan, Oytun Ulutan, Shehzad Noor Taus Priyo +2
Depth sensing cameras (e.g., Kinect sensor, Tango phone) can acquire color and depth images that are registered to a common viewpoint. This opens the possibility of developing algo…
An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data
Oytun Ulutan, Benjamin S. Riggan, Nasser M. Nasrabadi +1
We propose a new order preserving bilinear framework that exploits low-resolution video for person detection in a multi-modal setting using deep neural networks. In this setting ca…