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ORCIDDeepu Vijayasenan
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2020 – today
- 2025
[j8]Divya Bhaskaracharya
, Rajesh Parameshwaran Nair, Prakashini K., Girish Menon R., Paul Litvak, Pitchaiah Mandava, Deepu Vijayasenan, David S. Sumam:
Generalizable DNN model for brain tumor sub-structure segmentation from low-resolution 2D multimodal MR Images. Biomed. Signal Process. Control. 100: 106916 (2025)- 2024
- [j7]Shikha Baghel, Shreyas Ramoji, Somil Jain, Pratik Roy Chowdhuri, Prachi Singh, Deepu Vijayasenan, Sriram Ganapathy:
Summary of the DISPLACE challenge 2023-DIarization of SPeaker and LAnguage in Conversational Environments. Speech Commun. 161: 103080 (2024) - [i7]Shareef Babu Kalluri, Prachi Singh, Pratik Roy Chowdhuri, Apoorva Kulkarni, Shikha Baghel, Pradyoth Hegde, Swapnil Sontakke, Deepak K. T., S. R. Mahadeva Prasanna, Deepu Vijayasenan, Sriram Ganapathy:
The Second DISPLACE Challenge : DIarization of SPeaker and LAnguage in Conversational Environments. CoRR abs/2406.09494 (2024) - 2023
- [c32]Parag Jha, David S. Sumam, Deepu Vijayasenan:
CNN Based Tropical Cyclone Intensity Estimation Using Satellite Images Around Indian Subcontinent. CVIP (2) 2023: 172-185 - [c31]Vidyashree R. Kanabur, Deepu Vijayasenan, Sumam David S, Sreejith Govindan:
A Deep Learning Approach to Enhance Semantic Segmentation of Bacteria and Pus Cells from Microscopic Urine Smear Images Using Synthetic Data. CVIP (1) 2023: 244-255 - [c30]Harshal Singh, Vidyashree R. Kanabur, David S. Sumam, Deepu Vijayasenan, Sreejith Govindan:
Adversarial Learning Based Semi-supervised Semantic Segmentation of Low Resolution Gram Stained Microscopic Images. CVIP (2) 2023: 362-373 - [c29]Shikha Baghel, Shreyas Ramoji, Sidharth, Ranjana H, Prachi Singh, Somil Jain, Pratik Roy Chowdhuri, Kaustubh Kulkarni, Swapnil Padhi, Deepu Vijayasenan, Sriram Ganapathy:
The DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments. INTERSPEECH 2023: 3562-3566 - [i6]Shikha Baghel, Shreyas Ramoji, Sidharth, Ranjana H, Prachi Singh, Somil Jain, Pratik Roy Chowdhuri, Kaustubh Kulkarni, Swapnil Padhi, Deepu Vijayasenan, Sriram Ganapathy:
DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments. CoRR abs/2303.00830 (2023) - [i5]Shikha Baghel, Shreyas Ramoji, Somil Jain, Pratik Roy Chowdhuri, Prachi Singh, Deepu Vijayasenan, Sriram Ganapathy:
Summary of the DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments. CoRR abs/2311.12564 (2023) - 2022
- [j6]Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram:
Semantic segmentation of low magnification effusion cytology images: A semi-supervised approach. Comput. Biol. Medicine 150: 106179 (2022) - [c28]Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram:
Semi-supervised Semantic Segmentation for Effusion Cytology Images. CVMI 2022: 429-440 - [c27]Mayank Rajpurohit, Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram:
Semi-supervised Semantic Segmentation of Effusion Cytology Images Using Adversarial Training. CVMI 2022: 539-551 - [c26]Shajahan Aboobacker, Akash Verma, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram:
Semantic Segmentation on Low Resolution Cytology Images of Pleural and Peritoneal Effusion. NCC 2022: 82-87 - [i4]Chethan Reddy G. P., Pullagurla Abhijith Reddy, Vidyashree R. Kanabur, Deepu Vijayasenan, David S. Sumam, Sreejith Govindan:
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset. CoRR abs/2208.10737 (2022) - 2021
- [c25]Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy, Ragesh Rajan M, Prashant Krishnan V:
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling. ICASSP 2021: 6953-6957 - [c24]Kotra Venkata Sai Ritwik, Shareef Babu Kalluri, Deepu Vijayasenan:
COVID-19 Detection from Spectral Features on the DiCOVA Dataset. Interspeech 2021: 936-940 - 2020
- [j5]Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy:
Automatic speaker profiling from short duration speech data. Speech Commun. 121: 16-28 (2020) - [c23]S. Lakshmi, Kotra Venkata Sai Ritwik, Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, Pooja K. Suresh:
Deep Learning Model based Ki-67 Index estimation with Automatically Labelled Data. EMBC 2020: 1412-1415 - [c22]Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram:
A Deep Learning Model For The Automatic Detection Of Malignancy In Effusion Cytology. ICSPCC 2020: 1-5 - [i3]Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy, Ragesh Rajan M, Prashant Krishnan V:
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling. CoRR abs/2007.06021 (2020) - [i2]Kotra Venkata Sai Ritwik, Shareef Babu Kalluri, Deepu Vijayasenan:
COVID-19 Patient Detection from Telephone Quality Speech Data. CoRR abs/2011.04299 (2020)
2010 – 2019
- 2019
- [j4]Ragesh Rajan M, Deepu Vijayasenan, Ashwin Vijayakumar:
Predicting Gamakas - The Essential Embellishments in Karnatic Music. IEEE Access 7: 175386-175395 (2019) - [c21]Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy:
A Deep Neural Network Based End to End Model for Joint Height and Age Estimation from Short Duration Speech. ICASSP 2019: 6580-6584 - [c20]S. Lakshmi, Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, Pooja K. Suresh:
An Integrated Deep Learning Approach towards Automatic Evaluation of Ki-67 Labeling Index. TENCON 2019: 2310-2314 - 2018
- [c19]Ragesh Rajan M, Ashwin Vijayakumar, Deepu Vijayasenan:
Prediction of Aesthetic Elements in Karnatic Music: A Machine Learning Approach. INTERSPEECH 2018: 2042-2046 - [c18]Anand Ashtamoorthy, Pranav Prasad, Shashank Dhar, Deepu Vijayasenan:
Frequency Contour Modeling to Synthesize Natural Flute Renditions for Carnatic Music. SPCOM 2018: 172-176 - 2016
- [c17]Sachin Vernekar, Saurabh Nair, Deepu Vijayasenan, Rohit Ranjan:
A Novel Approach for Classification of Normal/Abnormal Phonocardiogram Recordings using Temporal Signal Analysis and Machine Learning. CinC 2016 - [c16]Sachin Vernekar, Deepu Vijayasenan, Rohit Ranjan:
A Novel Approach for Robust Detection of Heart Beats in Multimodal Data using Neural Networks and Boosted Trees. CinC 2016 - [c15]Shareef Babu Kalluri, Ashwin Vijayakumar, Deepu Vijayasenan, Rita Singh:
Estimating multiple physical parameters from speech data. MLSP 2016: 1-5 - 2014
- [i1]Manasij Venkatesh, Vikas Majjagi, Deepu Vijayasenan:
Implicit segmentation of Kannada characters in offline handwriting recognition using hidden Markov models. CoRR abs/1410.4341 (2014) - 2012
- [j3]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
Multistream speaker diarization of meetings recordings beyond MFCC and TDOA features. Speech Commun. 54(1): 55-67 (2012) - [c14]Deepu Vijayasenan, Fabio Valente:
Speaker diarization of meetings based on large TDOA feature vectors. ICASSP 2012: 4173-4176 - [c13]Deepu Vijayasenan, Fabio Valente:
Dimensionality reduction of large TDOA vectors for speaker diarization. SAPA@INTERSPEECH 2012: 64-67 - [c12]Deepu Vijayasenan, Fabio Valente:
DiarTk : An Open Source Toolkit for Research in Multistream Speaker Diarization and its Application to Meetings Recordings. INTERSPEECH 2012: 2170-2173 - 2011
- [j2]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization. IEEE Trans. Speech Audio Process. 19(2): 431-438 (2011) - [c11]Fabio Valente, Deepu Vijayasenan, Petr Motlícek:
Speaker diarization of meetings based on speaker role n-gram models. ICASSP 2011: 4416-4419 - [c10]Deepu Vijayasenan, Fabio Valente, Petr Motlícek:
Multistream speaker diarization through Information Bottleneck system outputs combination. ICASSP 2011: 4420-4423 - 2010
- [c9]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
Multistream speaker diarization beyond two acoustic feature streams. ICASSP 2010: 4950-4953 - [c8]Fabio Valente, Petr Motlícek, Deepu Vijayasenan:
Variational Bayesian speaker diarization of meeting recordings. ICASSP 2010: 4954-4957 - [c7]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
Advances in fast multistream diarization based on the information bottleneck framework. INTERSPEECH 2010: 2650-2653
2000 – 2009
- 2009
- [j1]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
An Information Theoretic Approach to Speaker Diarization of Meeting Data. IEEE Trans. Speech Audio Process. 17(7): 1382-1393 (2009) - [c6]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
Mutual information based channel selection for speaker diarization of meetings data. ICASSP 2009: 4065-4068 - [c5]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
KL realignment for speaker diarization with multiple feature streams. INTERSPEECH 2009: 1059-1062 - 2008
- [c4]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
Combination of agglomerative and sequential clustering for speaker diarization. ICASSP 2008: 4361-4364 - [c3]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
Integration of TDOA features in information bottleneck framework for fast speaker diarization. INTERSPEECH 2008: 40-43 - 2007
- [c2]Deepu Vijayasenan, Fabio Valente, Hervé Bourlard:
Agglomerative information bottleneck for speaker diarization of meetings data. ASRU 2007: 250-255 - [c1]Sriganesh Madhvanath, Deepu Vijayasenan, Thanigai Murugan Kadiresan:
LipiTk: a generic toolkit for online handwriting recognition. SIGGRAPH Courses 2007: 13
Coauthor Index
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