Reducing Variation in Solar Energy Supply Through Frequency Domain Analysis. - Chandrashekhar Lavania; Shrisha Rao 001; Eswaran Subrahmanian (IEEE Syst. J., 2012)

A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance. - Chandrashekhar Lavania; Sunil Thulasidasan; Anthony LaMarca; Jeffrey Scofield; Jeff A. Bilmes (UbiComp, 2016)

Reducing total latency in online real-time inference and decoding via combined context window and model smoothing latencies. - Chandrashekhar Lavania; Jeff A. Bilmes (ICASSP, 2017)

Fixing Mini-batch Sequences with Hierarchical Robust Partitioning. - Shengjie Wang; Wenruo Bai; Chandrashekhar Lavania; Jeff A. Bilmes (AISTATS, 2019)

Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. - Chandrashekhar Lavania; Jeff A. Bilmes (SDM, 2019)

Deep Submodular Networks for Extractive Data Summarization. - Suraj Kothawade; Jiten Girdhar; Chandrashekhar Lavania; Rishabh K. Iyer (CoRR, 2020)

Constrained Robust Submodular Partitioning. - Shengjie Wang; Tianyi Zhou 001; Chandrashekhar Lavania; Jeff A. Bilmes (NeurIPS, 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 (SDM, 2021)

Enhancing Contrastive Learning with Temporal Cognizance for Audio-Visual Representation Generation. - Chandrashekhar Lavania; Shiva Sundaram; Sundararajan Srinivasan; Katrin Kirchhoff (ICASSP, 2022)

Multi-Scale Compositional Constraints for Representation Learning on Videos. - Georgios Paraskevopoulos; Chandrashekhar Lavania; Lovish Chum; Shiva Sundaram (ICASSP, 2023)

Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection. - Chandrashekhar Lavania; Sanjiv Das; Xin Huang; Kyu J. Han (INTERSPEECH, 2023)

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores. - Lucas Goncalves; Prashant Mathur; Chandrashekhar Lavania; Metehan Cekic; Marcello Federico; Kyu J. Han (ECCV (79), 2024)

Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders. - Georgios Chochlakis; Chandrashekhar Lavania; Prashant Mathur; Kyu J. Han (INTERSPEECH, 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)

Improving Lip-synchrony in Direct Audio-Visual Speech-to-Speech Translation. - Lucas Goncalves; Prashant Mathur; Xing Niu 001; Chandrashekhar Lavania; Brady Houston; Srikanth Vishnubhotla; Lijia Sun; Anthony Ferritto (ICASSP, 2025)