Designing customized ISA processors using high level synthesis. - Sam Skalicky; Tejaswini Ananthanarayana; Sonia López; Marcin Lukowiak (ReConFig, 2015)

Power Analysis of HLS-Designed Customized Instruction Set Architectures. - Tejaswini Ananthanarayana; Sonia López; Marcin Lukowiak (IPDPS Workshops, 2017)

Large Scale Sign Language Interpretation. - Tiantian Yuan; Shagan Sah; Tejaswini Ananthanarayana; Chi Zhang 023; Aneesh Bhat; Sahaj Gandhi; Raymond W. Ptucha (FG, 2019)

Deep Learning based Fruit Freshness Classification and Detection with CMOS Image sensors and Edge processors. - Tejaswini Ananthanarayana; Raymond W. Ptucha; Sean C. Kelly (Food and Agricultural Imaging Systems, 2020)

A Computational Approach to Sign Language Understanding. - Tejaswini Ananthanarayana (AAAI, 2021)

Dynamic Cross-Feature Fusion for American Sign Language Translation. - Tejaswini Ananthanarayana; Nikunj R. Kotecha; Priyanshu Srivastava; Lipisha Chaudhary; Nicholas Wilkins; Ifeoma Nwogu (FG, 2021)

Effects of Feature Scaling and Fusion on Sign Language Translation. - Tejaswini Ananthanarayana; Lipisha Chaudhary; Ifeoma Nwogu (Interspeech, 2021)

Deep Learning Methods for Sign Language Translation. - Tejaswini Ananthanarayana; Priyanshu Srivastava; Akash Chintha; Akhil Santha; Brian P. Landy; Joseph Panaro; Andre Webster; Nikunj R. Kotecha; Shagan Sah; Thomastine Sarchet; Raymond W. Ptucha; Ifeoma Nwogu (ACM Trans. Access. Comput., 2021)

SignNet: Single Channel Sign Generation using Metric Embedded Learning. - Tejaswini Ananthanarayana; Lipisha Chaudhary; Ifeoma Nwogu (FG, 2023)

SignNet II: A Transformer-Based Two-Way Sign Language Translation Model. - Lipisha Chaudhary; Tejaswini Ananthanarayana; Enjamamul Hoq; Ifeoma Nwogu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)