activity
20192022
most citedImproving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts

Wenzhen Zhu, Negin Sokhandan, Guang Yang +2

Digitization of newspapers is of interest for many reasons including preservation of history, accessibility and search ability, etc. While digitization of documents such as scienti…

cs.HC20211 cited

Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism

Haibei Zhu, Teruhisa Misu, Sujitha Martin +2

Situation awareness (SA) is generally considered as the perception, understanding, and projection of objects' properties and positions. We believe if the system can sense drivers'…

cs.CV2020

Interaction Graphs for Object Importance Estimation in On-road Driving Videos

Zehua Zhang, Ashish Tawari, Sujitha Martin +1

A vehicle driving along the road is surrounded by many objects, but only a small subset of them influence the driver's decisions and actions. Learning to estimate the importance of…

cs.CV2019

Context Aware Road-user Importance Estimation (iCARE)

Alireza Rahimpour, Sujitha Martin, Ashish Tawari +1

Road-users are a critical part of decision-making for both self-driving cars and driver assistance systems. Some road-users, however, are more important for decision-making than ot…

cs.CV2019

Goal-oriented Object Importance Estimation in On-road Driving Videos

Mingfei Gao, Ashish Tawari, Sujitha Martin

We formulate a new problem as Object Importance Estimation (OIE) in on-road driving videos, where the road users are considered as important objects if they have influence on the c…