Agglomerative information bottleneck for speaker diarization of meetings data. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (ASRU, 2007)

LipiTk: a generic toolkit for online handwriting recognition. - Sriganesh Madhvanath; Deepu Vijayasenan; Thanigai Murugan Kadiresan (SIGGRAPH Courses, 2007)

Combination of agglomerative and sequential clustering for speaker diarization. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (ICASSP, 2008)

Integration of TDOA features in information bottleneck framework for fast speaker diarization. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (INTERSPEECH, 2008)

Mutual information based channel selection for speaker diarization of meetings data. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (ICASSP, 2009)

KL realignment for speaker diarization with multiple feature streams. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (INTERSPEECH, 2009)

An Information Theoretic Approach to Speaker Diarization of Meeting Data. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (IEEE Trans. Speech Audio Process., 2009)

Variational Bayesian speaker diarization of meeting recordings. - Fabio Valente; Petr Motlícek; Deepu Vijayasenan (ICASSP, 2010)

Multistream speaker diarization beyond two acoustic feature streams. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (ICASSP, 2010)

Advances in fast multistream diarization based on the information bottleneck framework. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (INTERSPEECH, 2010)

Speaker diarization of meetings based on speaker role n-gram models. - Fabio Valente; Deepu Vijayasenan; Petr Motlícek (ICASSP, 2011)

Multistream speaker diarization through Information Bottleneck system outputs combination. - Deepu Vijayasenan; Fabio Valente; Petr Motlícek (ICASSP, 2011)

An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (IEEE Trans. Speech Audio Process., 2011)

Speaker diarization of meetings based on large TDOA feature vectors. - Deepu Vijayasenan; Fabio Valente (ICASSP, 2012)

DiarTk : An Open Source Toolkit for Research in Multistream Speaker Diarization and its Application to Meetings Recordings. - Deepu Vijayasenan; Fabio Valente (INTERSPEECH, 2012)

Dimensionality reduction of large TDOA vectors for speaker diarization. - Deepu Vijayasenan; Fabio Valente (SAPA@INTERSPEECH, 2012)

Multistream speaker diarization of meetings recordings beyond MFCC and TDOA features. - Deepu Vijayasenan; Fabio Valente; Hervé Bourlard (Speech Commun., 2012)

Implicit segmentation of Kannada characters in offline handwriting recognition using hidden Markov models. - Manasij Venkatesh; Vikas Majjagi; Deepu Vijayasenan (CoRR, 2014)

A Novel Approach for Classification of Normal/Abnormal Phonocardiogram Recordings using Temporal Signal Analysis and Machine Learning. - Sachin Vernekar; Saurabh Nair; Deepu Vijayasenan; Rohit Ranjan (CinC, 2016)

A Novel Approach for Robust Detection of Heart Beats in Multimodal Data using Neural Networks and Boosted Trees. - Sachin Vernekar; Deepu Vijayasenan; Rohit Ranjan (CinC, 2016)

Estimating multiple physical parameters from speech data. - Shareef Babu Kalluri; Ashwin Vijayakumar; Deepu Vijayasenan; Rita Singh (MLSP, 2016)

Prediction of Aesthetic Elements in Karnatic Music: A Machine Learning Approach. - Ragesh Rajan M; Ashwin Vijayakumar; Deepu Vijayasenan (INTERSPEECH, 2018)

Frequency Contour Modeling to Synthesize Natural Flute Renditions for Carnatic Music. - Anand Ashtamoorthy; Pranav Prasad; Shashank Dhar; Deepu Vijayasenan (SPCOM, 2018)

A Deep Neural Network Based End to End Model for Joint Height and Age Estimation from Short Duration Speech. - Shareef Babu Kalluri; Deepu Vijayasenan; Sriram Ganapathy (ICASSP, 2019)

An Integrated Deep Learning Approach towards Automatic Evaluation of Ki-67 Labeling Index. - S. Lakshmi; Deepu Vijayasenan; David S. Sumam; Saraswathy Sreeram; Pooja K. Suresh (TENCON, 2019)

Predicting Gamakas - The Essential Embellishments in Karnatic Music. - Ragesh Rajan M; Deepu Vijayasenan; Ashwin Vijayakumar (IEEE Access, 2019)

Deep Learning Model based Ki-67 Index estimation with Automatically Labelled Data. - S. Lakshmi; Kotra Venkata Sai Ritwik; Deepu Vijayasenan; David S. Sumam; Saraswathy Sreeram; Pooja K. Suresh (EMBC, 2020)

A Deep Learning Model For The Automatic Detection Of Malignancy In Effusion Cytology. - Shajahan Aboobacker; Deepu Vijayasenan; David S. Sumam; Pooja K. Suresh; Saraswathy Sreeram (ICSPCC, 2020)

COVID-19 Patient Detection from Telephone Quality Speech Data. - Kotra Venkata Sai Ritwik; Shareef Babu Kalluri; Deepu Vijayasenan (CoRR, 2020)

Automatic speaker profiling from short duration speech data. - Shareef Babu Kalluri; Deepu Vijayasenan; Sriram Ganapathy (Speech Commun., 2020)

NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling. - Shareef Babu Kalluri; Deepu Vijayasenan; Sriram Ganapathy; Ragesh Rajan M; Prashant Krishnan V (ICASSP, 2021)

COVID-19 Detection from Spectral Features on the DiCOVA Dataset. - Kotra Venkata Sai Ritwik; Shareef Babu Kalluri; Deepu Vijayasenan (Interspeech, 2021)

Semi-supervised Semantic Segmentation for Effusion Cytology Images. - Shajahan Aboobacker; Deepu Vijayasenan; David S. Sumam; Pooja K. Suresh; Saraswathy Sreeram (CVMI, 2022)

Semi-supervised Semantic Segmentation of Effusion Cytology Images Using Adversarial Training. - Mayank Rajpurohit; Shajahan Aboobacker; Deepu Vijayasenan; David S. Sumam; Pooja K. Suresh; Saraswathy Sreeram (CVMI, 2022)

Semantic Segmentation on Low Resolution Cytology Images of Pleural and Peritoneal Effusion. - Shajahan Aboobacker; Akash Verma; Deepu Vijayasenan; David S. Sumam; Pooja K. Suresh; Saraswathy Sreeram (NCC, 2022)

Semantic segmentation of low magnification effusion cytology images: A semi-supervised approach. - Shajahan Aboobacker; Deepu Vijayasenan; David S. Sumam; Pooja K. Suresh; Saraswathy Sreeram (Comput. Biol. Medicine, 2022)

Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset. - Chethan Reddy G. P.; Pullagurla Abhijith Reddy; Vidyashree R. Kanabur; Deepu Vijayasenan; David S. Sumam; Sreejith Govindan (CoRR, 2022)

CNN Based Tropical Cyclone Intensity Estimation Using Satellite Images Around Indian Subcontinent. - Parag Jha; David S. Sumam; Deepu Vijayasenan (CVIP (2), 2023)

A Deep Learning Approach to Enhance Semantic Segmentation of Bacteria and Pus Cells from Microscopic Urine Smear Images Using Synthetic Data. - Vidyashree R. Kanabur; Deepu Vijayasenan; Sumam David S; Sreejith Govindan (CVIP (1), 2023)

Adversarial Learning Based Semi-supervised Semantic Segmentation of Low Resolution Gram Stained Microscopic Images. - Harshal Singh; Vidyashree R. Kanabur; David S. Sumam; Deepu Vijayasenan; Sreejith Govindan (CVIP (2), 2023)

The DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments. - Shikha Baghel; Shreyas Ramoji; Sidharth; Ranjana H; Prachi Singh; Somil Jain; Pratik Roy Chowdhuri; Kaustubh Kulkarni; Swapnil Padhi; Deepu Vijayasenan; Sriram Ganapathy (INTERSPEECH, 2023)

DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments. - Shikha Baghel; Shreyas Ramoji; Sidharth; Ranjana H; Prachi Singh; Somil Jain; Pratik Roy Chowdhuri; Kaustubh Kulkarni; Swapnil Padhi; Deepu Vijayasenan; Sriram Ganapathy (CoRR, 2023)

Artery Vein Segmentation in Handheld Fundus Camera Retinal Images and leveraging Cross Entropy for improved Semantic performance. - Raichel Philip Yohannan; David S. Sumam; Deepu Vijayasenan; Ravi Teja Chowdary; Girish Menon R.; Sudha Girish Menon (CVMI, 2024)

The Second DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments. - 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 (INTERSPEECH, 2024)

Summary of the DISPLACE challenge 2023-DIarization of SPeaker and LAnguage in Conversational Environments. - Shikha Baghel; Shreyas Ramoji; Somil Jain; Pratik Roy Chowdhuri; Prachi Singh; Deepu Vijayasenan; Sriram Ganapathy (Speech Commun., 2024)

Generalizable DNN model for brain tumor sub-structure segmentation from low-resolution 2D multimodal MR Images. - Divya Bhaskaracharya; Rajesh Parameshwaran Nair; Prakashini K.; Girish Menon R.; Paul Litvak; Pitchaiah Mandava; Deepu Vijayasenan; David S. Sumam (Biomed. Signal Process. Control., 2025)