most citedSensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data

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

collaborators

5 papers

cs.CV2020

TITAN: Future Forecast using Action Priors

Srikanth Malla, Behzad Dariush, Chiho Choi

We consider the problem of predicting the future trajectory of scene agents from egocentric views obtained from a moving platform. This problem is important in a variety of domains…

cs.CV2019

Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment

Behnoosh Parsa, Athma Narayanan, Behzad Dariush

Recognition of human actions and associated interactions with objects and the environment is an important problem in computer vision due to its potential applications in a variety…

cs.CV20191 cited

Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data

Athma Narayanan, Avinash Siravuru, Behzad Dariush

The Tactical Driver Behavior modeling problem requires understanding of driver actions in complicated urban scenarios from a rich multi modal signals including video, LiDAR and CAN…

cs.CV2019

Dynamic Traffic Scene Classification with Space-Time Coherence

Athma Narayanan, Isht Dwivedi, Behzad Dariush

This paper examines the problem of dynamic traffic scene classification under space-time variations in viewpoint that arise from video captured on-board a moving vehicle. Solutions…

cs.CV2019

Looking to Relations for Future Trajectory Forecast

Chiho Choi, Behzad Dariush

Inferring relational behavior between road users as well as road users and their surrounding physical space is an important step toward effective modeling and prediction of navigat…