ProfessorsProfessors of Indian Institute of Technology MadrasChandra Sekhar Chellu

Chandra Sekhar Chellu

Indian Institute of Technology Madras

H-index: 20

Asia-India

About Chandra Sekhar Chellu

Chandra Sekhar Chellu, With an exceptional h-index of 20 and a recent h-index of 10 (since 2020), a distinguished researcher at Indian Institute of Technology Madras, specializes in the field of Speech Technology, Support Vector Machine, Kernel Methods, Content based Information Retrieval.

His recent articles reflect a diverse array of research interests and contributions to the field:

Memory-efficient Stochastic methods for Memory-based Transformers

Check for updates Descriptive and Coherent Paragraph Generation for Image Paragraph Captioning Using Vision Transformer

Caption based Co-attention Architecture for Open-Ended Visual Question Answering

Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features

Semi-supervised metric learning: A deep resurrection

Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts

Novel architectures for unsupervised information bottleneck based speaker diarization of meetings

Unsupervised deep metric learning via orthogonality based probabilistic loss

Chandra Sekhar Chellu Information

University	Indian Institute of Technology Madras
Position	___
Citations(all)	1312
Citations(since 2020)	408
Cited By	1067
hIndex(all)	20
hIndex(since 2020)	10
i10Index(all)	36
i10Index(since 2020)	10
Email	Access Email
University Profile Page	Indian Institute of Technology Madras
Google Scholar	View Google Scholar Profile

Chandra Sekhar Chellu Skills & Research Interests

Speech Technology

Support Vector Machine

Kernel Methods

Content based Information Retrieval

Top articles of Chandra Sekhar Chellu

Title	Journal	Author(s)	Publication Date
Memory-efficient Stochastic methods for Memory-based Transformers	arXiv preprint arXiv:2311.08123	Vishwajit Kumar Vishnu C Chandra Sekhar	2023/11/14
Check for updates Descriptive and Coherent Paragraph Generation for Image Paragraph Captioning Using Vision Transformer	Advanced Concepts for Intelligent Vision Systems: 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings	Naveen Vakada C Chandra Sekhar	2023/11/13
Caption based Co-attention Architecture for Open-Ended Visual Question Answering		Chandra Churh Chatterjee C Chandra Sekhar	2023/12/14
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features	arXiv preprint arXiv:2108.02850	Rupam Ojha C Chandra Sekhar	2021/8/4
Semi-supervised metric learning: A deep resurrection	Proceedings of the AAAI Conference on artificial intelligence	Ujjal Kr Dutta Mehrtash Harandi C Chandra Shekhar	2021/5/18
Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts	arXiv preprint arXiv:2103.03215	Nauman Dawalatabad Jilt Sebastian Jom Kuriakose C Chandra Sekhar Shrikanth Narayanan ...	2021/3/4
Novel architectures for unsupervised information bottleneck based speaker diarization of meetings	IEEE/ACM Transactions on Audio, Speech, and Language Processing	Nauman Dawalatabad Srikanth Madikeri C Chandra Sekhar Hema A Murthy	2020/11/5
Unsupervised deep metric learning via orthogonality based probabilistic loss	IEEE Transactions on Artificial Intelligence	Ujjal Kr Dutta Mehrtash Harandi Chellu Chandra Sekhar	2020/8
Affinity guided geometric semi-supervised metric learning	arXiv preprint arXiv:2002.12394	Ujjal Kr Dutta Mehrtash Harandi Chellu Chandra Sekhar	2020/2/27
A Geometric Approach for Unsupervised Similarity Learning		UK Dutta CC Sekhar	2020
Unsupervised Metric Learning with Synthetic Examples		UK Dutta M Harandi CC Sekhar	2020