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Dr. Renjith S.

Assistant Professor (Level 10), Department of Computer Science and Engineering, School of Computing, Amritapuri

Qualification: M.E., Ph.D
srenjith@am.amrita.edu
ORCID Profile
Scopus Author Profile
Research Interest: Image Processing, Computer Vision, Sign Language Recognition
Date of Joining: 21/07/2025

Bio Publications Awards
Bio

Dr. Renjith S. completed his B.Tech. in Computer Science and Engineering from Cochin University of Science and Technology (CUSAT), Kochi, India, in 2007, and his M.Tech. in Computer Science and Engineering from Anna University, Chennai, India, in 2017. He is currently pursuing a Ph.D. in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India. His research interests include computer vision, image processing, and machine learning.

Publications

Conference Paper

Year : 2026

Lightweight Hybrid CNN-Transformer Architecture for Efficient Isolated Sign Language Recognition

Cite this Research Publication : S. Renjith, Aneesh Varghese, S. S. Poorna, Lightweight Hybrid CNN-Transformer Architecture for Efficient Isolated Sign Language Recognition, Lecture Notes in Networks and Systems, Springer Nature Switzerland, 2026, https://doi.org/10.1007/978-3-032-30005-8_18

Publisher : Springer Nature Switzerland

Year : 2025

ViT Sign: An Effective Transformer-Based Approach for Sign Language Recognition

Cite this Research Publication : S. Renjith, Aneesh Varghese, S. S. Poorna, K. Anuraj, ViT Sign: An Effective Transformer-Based Approach for Sign Language Recognition, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-7707-8_30

Publisher : Springer Nature Singapore

Journal Article

Year : 2026

Enhancing Sign Language Recognition through a Hybrid CNN-LSTM Model: A Study on CSL and BSL Datasets

Cite this Research Publication : S Renjith, Aneesh Varghese, Poorna S S, Enhancing Sign Language Recognition through a Hybrid CNN-LSTM Model: A Study on CSL and BSL Datasets, Procedia Computer Science, Elsevier BV, 2026, https://doi.org/10.1016/j.procs.2026.06.513

Publisher : Elsevier BV

Year : 2026

Transformer-based motion-visual integrated fusion for isolated sign language recognition

Cite this Research Publication : S. Renjith, Aneesh Varghese, Manazhy Rashmi, Poorna S.S., Transformer-based motion-visual integrated fusion for isolated sign language recognition, Computers and Electrical Engineering, Elsevier BV, 2026, https://doi.org/10.1016/j.compeleceng.2025.110902

Publisher : Elsevier BV

Year : 2026

ViPoMo-SLR: An efficient multimodal framework for sign language recognition using visual, pose, and motion cues

Cite this Research Publication : S. Renjith, Aneesh Varghese, ViPoMo-SLR: An efficient multimodal framework for sign language recognition using visual, pose, and motion cues, International Journal of Cognitive Computing in Engineering, Elsevier BV, 2026, https://doi.org/10.1016/j.ijcce.2026.05.004

Publisher : Elsevier BV

Year : 2026

An efficient real-time spatio-temporal adaptive motion pattern framework for isolated sign language recognition (RT-STAMP-SLR)

Cite this Research Publication : S. Renjith, Aneesh Varghese, S. S. Poorna, An efficient real-time spatio-temporal adaptive motion pattern framework for isolated sign language recognition (RT-STAMP-SLR), Discover Artificial Intelligence, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s44163-026-01429-3

Publisher : Springer Science and Business Media LLC

Year : 2026

A novel spatio-temporal memory routing network for isolated sign language recognition (NST-MRN)

Cite this Research Publication : S. Renjith, Poorna S S, A novel spatio-temporal memory routing network for isolated sign language recognition (NST-MRN), Neurocomputing, Elsevier BV, 2026, https://doi.org/10.1016/j.neucom.2026.134453

Publisher : Elsevier BV

Year : 2026

IPGSL: An Intelligent Pattern Generation Method for Sign Language Recognition

Cite this Research Publication : Renjith Sasidharan, Sumi Suresh Mini Suresh, Rashmi Manazhy, IPGSL: An Intelligent Pattern Generation Method for Sign Language Recognition, SN Computer Science, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s42979-026-05261-5

Publisher : Springer Science and Business Media LLC

Year : 2025

An Efficient Attention Model with Critical Frames Identification for Sign Language Recognition (CRAM-SLR)

Cite this Research Publication : Renjith Sasidharan, Aneesh Varghese, Manazhy Rashmi, Poorna S. Surendran, An Efficient Attention Model with Critical Frames Identification for Sign Language Recognition (CRAM-SLR), Journal of Computational and Cognitive Engineering, Bon View Publishing Pte, 2025, https://doi.org/10.47852/bonviewjcce52025288

Publisher : Bon View Publishing Pte

Year : 2025

Advances in Deep Learning for Autonomous Vehicle Perception: A Comprehensive Review

Cite this Research Publication : Namitha Kalakunnath, Aneesh Varghese, Abekaesh Prakash Anuradha, Dhanush Kumar Girish, Renjith Sasidharan, Advances in Deep Learning for Autonomous Vehicle Perception: A Comprehensive Review, Journal of Computational and Cognitive Engineering, Bon View Publishing Pte, 2025, https://doi.org/10.47852/bonviewjcce52025836

Publisher : Bon View Publishing Pte

Year : 2025

An Efficient Hybrid Attention-Guided Frame-Wise Temporal Reasoning for Sign Language Recognition

Cite this Research Publication : S. Renjith, Aneesh Varghese, An Efficient Hybrid Attention-Guided Frame-Wise Temporal Reasoning for Sign Language Recognition, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3645049

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

An effective skeleton-based approach for multilingual sign language recognition

Cite this Research Publication : S. Renjith, M.S. Sumi Suresh, Manazhy Rashmi, An effective skeleton-based approach for multilingual sign language recognition, Engineering Applications of Artificial Intelligence, Elsevier BV, 2025, https://doi.org/10.1016/j.engappai.2024.109995

Publisher : Elsevier BV

Year : 2024

Sign language : a systematic review on classification and recognition

Cite this Research Publication : S Renjith, Rashmi Manazhy, Sign language : a systematic review on classification and recognition, Multimedia Tools and Applications, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s11042-024-18583-4

Publisher : Springer Science and Business Media LLC

Awards
  • Best paper award for 7th International Conference on Innovative Computing and Communication (ICICC-2024), organized by Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi, India, in association with the National Institute of Technology Patna, India, and the University of Valladolid, Spain, on 16th-17th February 2024.
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