Samarjit Das

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 24

Top Topics

Convolutional Neural Network

Top Venues

Publications

Wei-Cheng Lin, Shabnam Ghaffarzadegan, Luca Bondi, Abinaya Kumar, Samarjit Das, Ho-Hsiang Wu
CLAP4Emo: ChatGPT-Assisted Speech Emotion Retrieval with Natural Language Supervision. ICASSP (2024)
Shabnam Ghaffarzadegan, Luca Bondi, Ho-Hsiang Wu, Sirajum Munir, Kelly J. Shields, Samarjit Das, Joseph Aracri
Active Learning for Abnormal Lung Sound Data Curation and Detection in Asthma. INTERSPEECH (2023)
Magdalena Fuentes, Bea Steers, Pablo Zinemanas, Martín Rocamora, Luca Bondi, Julia Wilkins, Qianyi Shi, Yao Hou, Samarjit Das, Xavier Serra, Juan Pablo Bello
Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding. ICASSP (2022)
Luca Bondi, Gabriel Chuang, Christopher Ick, Adarsh Dave, Charles Shelton, Brian Coltin, Trey Smith, Samarjit Das
Acoustic Imaging Aboard The International Space Station (ISS): Challenges and Preliminary Results. ICASSP (2022)
Bingqing Chen, Luca Bondi, Samarjit Das
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection. ICPR (2022)
Bingqing Chen, Luca Bondi, Samarjit Das
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection. CoRR (2022)
Benjamin Elizalde, Radu Revutchi, Samarjit Das, Bhiksha Raj, Ian R. Lane, Laurie M. Heller
Identifying Actions for Sound Event Classification. WASPAA (2021)
Benjamin Elizalde, Radu Revutchi, Samarjit Das, Bhiksha Raj, Ian R. Lane, Laurie M. Heller
Identifying Actions for Sound Event Classification. CoRR (2021)
Boqiang Fan, Samarjit Das
Synthetic Aperture Acoustic Imaging with Deep Generative Model Based Source Distribution Prior. ICASSP (2021)
Shao-Yen Tseng, Juncheng Li, Yun Wang, Florian Metze, Joseph Szurley, Samarjit Das
Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection. INTERSPEECH (2018)
Alessandro Oltramari, Joseph Szurley, Samarjit Das, Jonathan Francis, Juncheng Li
Towards Knowledge Oriented Intelligent Audio Analytics. AAAI Workshops (2018)
Phuong Pham, Juncheng Li, Joseph Szurley, Samarjit Das
Eventness: Object Detection on Spectrograms for Temporal Localization of Audio Events. ICASSP (2018)
Juncheng Li, Yun Wang, Joseph Szurley, Florian Metze, Samarjit Das
A Light-Weight Multimodal Framework for Improved Environmental Audio Tagging. ICASSP (2018)
Juncheng Li, Yun Wang, Joseph Szurley, Florian Metze, Samarjit Das
A Light-Weight Multimodal Framework for Improved Environmental Audio Tagging. CoRR (2017)
Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das
A comparison of Deep Learning methods for environmental sound detection. ICASSP (2017)
Shao-Yen Tseng, Juncheng Li, Yun Wang, Joseph Szurley, Florian Metze, Samarjit Das
Multiple Instance Deep Learning for Weakly Supervised Audio Event Detection. CoRR (2017)
Gonzalo Vaca-Castano, Samarjit Das, Joao P. Sousa, Niels da Vitoria Lobo, Mubarak Shah
Improved scene identification and object detection on egocentric vision of daily activities. Comput. Vis. Image Underst. 156 (2017)
Niluthpol Chowdhury Mithun, Juncheng B. Li, Florian Metze, Amit K. Roy-Chowdhury, Samarjit Das
CMU-UCR-BOSCH @ TRECVID 2017: VIDEO TO TEXT RETRIEVAL. TRECVID (2017)
Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das
A Comparison of deep learning methods for environmental sound. CoRR (2017)
Phuong Pham, Juncheng Li, Joseph Szurley, Samarjit Das
Eventness: Object Detection on Spectrograms for Temporal Localization of Audio Events. CoRR (2017)
Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das
Very deep convolutional neural networks for raw waveforms. ICASSP (2017)
Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das
Very Deep Convolutional Neural Networks for Raw Waveforms. CoRR (2016)
Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das
Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms. CoRR (2016)
Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das
Learning Filter Banks Using Deep Learning For Acoustic Signals. CoRR (2016)
Gonzalo Vaca-Castano, Samarjit Das, Joao P. Sousa
Improving egocentric vision of daily activities. ICIP (2015)
Rituparna Sarkar, Samarjit Das, Namrata Vaswani
PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change CoRR (2013)
Rituparna Sarkar, Samarjit Das, Namrata Vaswani
Tracking sparse signal sequences from nonlinear/non-Gaussian measurements and applications in illumination-motion tracking. ICASSP (2013)
Samarjit Das, Amit A. Kale, Namrata Vaswani
Particle Filter With a Mode Tracker for Visual Tracking Across Illumination Changes. IEEE Trans. Image Process. 21 (4) (2012)
Samarjit Das, Breogan Amoedo, Fernando De la Torre, Jessica K. Hodgins
Detecting Parkinsons' symptoms in uncontrolled home environments: A multiple instance learning approach. EMBC (2012)
Samarjit Das, Jestin N. Carlson, Fernando De la Torre, Paul E. Phrampus, Jessica K. Hodgins
Multimodal feature analysis for quantitative performance evaluation of endotracheal intubation (ETI). ICASSP (2012)
Samarjit Das, Laura C. Trutoiu, Akihiko Murai, Dunbar Alcindor, Michael Oh, Fernando De la Torre, Jessica K. Hodgins
Quantitative measurement of motor symptoms in Parkinson's disease: A study with full-body motion capture data. EMBC (2011)
Samarjit Das, Shantanu Rane, Anthony Vetro
Hiding information inside structured shapes. ICASSP (2010)
Samarjit Das, Namrata Vaswani
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 32 (4) (2010)
Samarjit Das, Namrata Vaswani
Model-based compression of nonstationary landmark shape sequences. ICIP (2008)