Mehul Kumar

Orcid: 0000-0001-7341-2362

According to our database1, Mehul Kumar authored at least 14 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
VTHSC-MIR: Vision Transformer Hashing with Supervised Contrastive learning based medical image retrieval.
Pattern Recognit. Lett., 2024

CMAEH: Contrastive Masked Autoencoder Based Hashing for Efficient Image Retrieval.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Self-Supervised Accent Learning for Under-Resourced Accents Using Native Language Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
A Comparison of Streaming Models and Data Augmentation Methods for Robust Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Semi-Supervised Transfer Learning for Language Expansion of End-to-End Speech Recognition Models to Low-Resource Languages.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

HiTNet: Byte-to-BPE Hierarchical Transcription Network for End-to-End Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Utterance Invariant Training for Hybrid Two-Pass End-to-End Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019
Multi-Task Multi-Resolution Char-to-BPE Cross-Attention Decoder for End-to-End Speech Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Reoptimization of Path Vertex Cover Problem.
Proceedings of the Computing and Combinatorics - 25th International Conference, 2019

End-to-End Training of a Large Vocabulary End-to-End Speech Recognition System.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Power-Law Nonlinearity with Maximally Uniform Distribution Criterion for Improved Neural Network Training in Automatic Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Improved Multi-Stage Training of Online Attention-Based Encoder-Decoder Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2015
Improved analysis of D<sup>2</sup>-sampling based PTAS for k-means and other clustering problems.
Inf. Process. Lett., 2015

2014
Improved analysis of D2-sampling based PTAS for k-means and other Clustering problems.
CoRR, 2014


  Loading...