Chandrashekhar Lavania

According to our database, Chandrashekhar Lavania authored at least 14 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Lip-synchrony in Direct Audio-Visual Speech-to-Speech Translation.

Lucas Goncalves, Prashant Mathur, Xing Niu, Brady Houston, Chandrashekhar Lavania, Srikanth Vishnubhotla, Lijia Sun, Anthony Ferritto

CoRR, 2024

PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores.

Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu J. Han

CoRR, 2024

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores.

Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu J. Han

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection.

Chandrashekhar Lavania, Sanjiv Das, Xin Huang, Kyu J. Han

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multi-Scale Compositional Constraints for Representation Learning on Videos.

Georgios Paraskevopoulos, Chandrashekhar Lavania, Lovish Chum, Shiva Sundaram

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Enhancing Contrastive Learning with Temporal Cognizance for Audio-Visual Representation Generation.

Chandrashekhar Lavania, Shiva Sundaram, Sundararajan Srinivasan, Katrin Kirchhoff

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget.

Chandrashekhar Lavania, Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Constrained Robust Submodular Partitioning.

Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Deep Submodular Networks for Extractive Data Summarization.

Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh K. Iyer

CoRR, 2020

2019

Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture.

Chandrashekhar Lavania, Jeff A. Bilmes

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Fixing Mini-batch Sequences with Hierarchical Robust Partitioning.

Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Reducing total latency in online real-time inference and decoding via combined context window and model smoothing latencies.

Chandrashekhar Lavania, Jeff A. Bilmes

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance.

Chandrashekhar Lavania, Sunil Thulasidasan, Anthony LaMarca, Jeffrey Scofield, Jeff A. Bilmes

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2012

Reducing Variation in Solar Energy Supply Through Frequency Domain Analysis.

Chandrashekhar Lavania, Shrisha Rao, Eswaran Subrahmanian

IEEE Syst. J., 2012