Samarjit Das

According to our database1, Samarjit Das authored at least 27 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2022

Acoustic Imaging Aboard The International Space Station (ISS): Challenges and Preliminary Results.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Identifying Actions for Sound Event Classification.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Synthetic Aperture Acoustic Imaging with Deep Generative Model Based Source Distribution Prior.
Proceedings of the IEEE International Conference on Acoustics, 2021

2018
Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection.
Proceedings of the Interspeech 2018, 2018

Eventness: Object Detection on Spectrograms for Temporal Localization of Audio Events.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Light-Weight Multimodal Framework for Improved Environmental Audio Tagging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Towards Knowledge Oriented Intelligent Audio Analytics.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Improved scene identification and object detection on egocentric vision of daily activities.
Comput. Vis. Image Underst., 2017

Multiple Instance Deep Learning for Weakly Supervised Audio Event Detection.
CoRR, 2017

A Comparison of deep learning methods for environmental sound.
CoRR, 2017

CMU-UCR-BOSCH @ TRECVID 2017: VIDEO TO TEXT RETRIEVAL.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

A comparison of Deep Learning methods for environmental sound detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Very deep convolutional neural networks for raw waveforms.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Learning Filter Banks Using Deep Learning For Acoustic Signals.
CoRR, 2016

Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms.
CoRR, 2016

2015
Improving egocentric vision of daily activities.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2013
PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change
CoRR, 2013

Tracking sparse signal sequences from nonlinear/non-Gaussian measurements and applications in illumination-motion tracking.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Particle Filter With a Mode Tracker for Visual Tracking Across Illumination Changes.
IEEE Trans. Image Process., 2012

Multimodal feature analysis for quantitative performance evaluation of endotracheal intubation (ETI).
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Detecting Parkinsons' symptoms in uncontrolled home environments: A multiple instance learning approach.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Quantitative measurement of motor symptoms in Parkinson's disease: A study with full-body motion capture data.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Hiding information inside structured shapes.
Proceedings of the IEEE International Conference on Acoustics, 2010

2008
Model-based compression of nonstationary landmark shape sequences.
Proceedings of the International Conference on Image Processing, 2008


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