Oytun Ulutan — accepted AI-conference papers

2020

VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions

Oytun Ulutan, A S M Iftekhar, B. S. Manjunath

CVPR 2020poster

Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main objective in Human-Object Interaction (HOI) detection task. In particular, relative spatial reasoning and structural conn…

Cited by 273 PDF ↗code ↗Scholar ↗

2020

Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data

Celso M. de Melo, Brandon Rothrock, Prudhvi Gurram, Oytun Ulutan, B.S. Manjunath

IROS 2020poster

Building successful collaboration between humans and robots requires efficient, effective, and natural communication. Here we study a RGB-based deep learning approach for controlling robots through gestures (e.g., "follow me"). To address the challenge of collecting high-quality annotated data from…

Cited by 32 Source ↗Scholar ↗