Hosnieh Sattar

Hosnieh Sattar

I am a PhD student in the Perceptual User Interfaces group since March 2015. I am co-supervised by Dr. Mario Fritz (Scalable Learning and Perception group).

contact

…or just drop by at E1.4, room 626.

education

I hold a Bachelor’s degree in Biomedical Engineering (bioelectrics) from Islamic Azad University of Mashhad (2009-2012). I completed my master study in Visual Computing at Saarland university (2012-2014).

research interests

My research interests are at the intersection of human-Computer Interaction, computer vision, and machine learning. My goal is to develop intelligent systems that can assist users during visual search. Visual behavior is closely linked to the user’s task when looking at a visual scene (Yarbus 1967). Consequently, I use gaze information to understand the user’s search behavior and infer their visual search target. For this aim, I develop and apply the state of the art techniques in computer vision and machine learning in combination with user’s gaze. I would like to create intelligent systems that can assist the user’s to find their search target in stationary scenarios (e.g. using their laptop) to the extreme outdoor setting (e.g. using mobile eye tracker).

master thesis

Integration of Direct and Gradient based methods for Focus Fusion. M.Sc. Thesis in Visual Computing, 2014.

publications

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

Hosnieh Sattar; Andreas Bulling; Mario Fritz

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Inproceedings

Proc. of the IEEE International Conference on Computer Vision Workshops (ICCVW), 2017.

Abstract | Links | BibTeX

Visual Decoding of Targets During Visual Search From Human Eye Fixations

Hosnieh Sattar; Mario Fritz; Andreas Bulling

Visual Decoding of Targets During Visual Search From Human Eye Fixations Technical Report

arXiv:1706.05993, 2017.

Abstract | Links | BibTeX

 Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

Hosnieh Sattar; Andreas Bulling; Mario Fritz

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Technical Report

arXiv:1611.10162 , 2016.

Abstract | Links | BibTeX

Prediction of Search Targets From Fixations in Open-World Settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of Search Targets From Fixations in Open-World Settings Inproceedings

Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp. 981-990, 2015.

Abstract | Links | BibTeX