5 citations · 6 across the 4 of their papers we have counts for
5 papers
mm-Wave Radar Hand Shape Classification Using Deformable Transformers
Athmanarayanan Lakshmi Narayanan, Asma Beevi K. T, Haoyang Wu +2
A novel, real-time, mm-Wave radar-based static hand shape classification algorithm and implementation are proposed. The method finds several applications in low cost and privacy se…
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…
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…
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…
Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection
Athma Narayanan, Yi-Ting Chen, Srikanth Malla
In this paper, we presented a preliminary study for tactical driver behavior detection from untrimmed naturalistic driving recordings. While supervised learning based detection is…