Samarjit Das
Samarjit Das
Principal Scientist, Senior Research Manager at Bosch
Verified email at
Cited by
Cited by
Very deep convolutional neural networks for raw waveforms
W Dai, C Dai, S Qu, J Li, S Das
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
A comparison of deep learning methods for environmental sound detection
J Li, W Dai, F Metze, S Qu, S Das
2017 IEEE International conference on acoustics, speech and signal …, 2017
Quantitative measurement of motor symptoms in Parkinson's disease: A study with full-body motion capture data
S Das, L Trutoiu, A Murai, D Alcindor, M Oh, F De la Torre, J Hodgins
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
Particle filter with a mode tracker for visual tracking across illumination changes
S Das, A Kale, N Vaswani
IEEE Transactions on Image Processing 21 (4), 2340-2346, 2011
Detecting Parkinsons' symptoms in uncontrolled home environments: A multiple instance learning approach
S Das, B Amoedo, F De la Torre, J Hodgins
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
Motion capture measures variability in laryngoscopic movement during endotracheal intubation: a preliminary report
JN Carlson, S Das, F De la Torre, CW Callaway, PE Phrampus, J Hodgins
Simulation in healthcare: journal of the Society for Simulation in …, 2012
Improved scene identification and object detection on egocentric vision of daily activities
G Vaca-Castano, S Das, JP Sousa, ND Lobo, M Shah
Computer Vision and Image Understanding 156, 92-103, 2017
Multiple instance deep learning for weakly supervised small-footprint audio event detection
SY Tseng, J Li, Y Wang, J Szurley, F Metze, S Das
arXiv preprint arXiv:1712.09673, 2017
First-Person Camera Based Visual Context Aware System
S Das, G Vaca, JP Sousa
US Patent App. 15/538,174, 2017
Understanding audio pattern using convolutional neural network from raw waveforms
S Qu, J Li, W Dai, S Das
arXiv preprint arXiv:1611.09524, 2016
Assessment of movement patterns during intubation between novice and experienced providers using mobile sensors: a preliminary, proof of concept study
JN Carlson, S Das, S Spring, A Frisch, F De la Torre, J Hodgins
BioMed research international 2015, 2015
Particle filtered modified compressive sensing (pafimocs) for tracking signal sequences
S Das, N Vaswani
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals …, 2010
A novel artificial intelligence system for endotracheal intubation
JN Carlson, S Das, F De la Torre, A Frisch, FX Guyette, JK Hodgins, ...
Prehospital Emergency Care 20 (5), 667-671, 2016
Sound event detection for real life audio DCASE challenge
JL Dai Wei, P Pham, S Das, S Qu, F Metze
Proc. Workshop Detection and Classification of Acoustic Scenes and Events, 2016
Nonstationary shape activities: Dynamic models for landmark shape change and applications
S Das, N Vaswani
IEEE transactions on pattern analysis and machine intelligence 32 (4), 579-592, 2009
System and method for audio scene understanding of physical object sound sources
S Das, JP Sousa
US Patent 9,668,073, 2017
Analysis of smartphone video footage classifies chest compression rate during simulated CPR
A Frisch, S Das, JC Reynolds, F De la Torre, JK Hodgins, JN Carlson
The American journal of emergency medicine 32 (9), 1136-1138, 2014
Tracking sparse signal sequences from nonlinear/non-gaussian measurements and applications in illumination-motion tracking
R Sarkar, S Das, N Vaswani
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Network of internet connected automated external defibrillators
S Das
US Patent 10,035,023, 2018
Multimodal feature analysis for quantitative performance evaluation of endotracheal intubation (ETI)
S Das, JN Carlson, F De la Torre, PE Phrampus, J Hodgins
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
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