A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation. - Srenivas Varadarajan; Parual Datta; Omesh Tickoo (WACV, 2018)

E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations. - Chaunte Lacewell; Nilesh A. Ahuja; J. Pablo Munoz; Parual Datta; Ragaad AlTarawneh; Vui Seng Chua; Nilesh Jain; Omesh Tickoo; Ravi Iyer 001 (NAS, 2021)

A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. - Parual Datta; Nilesh A. Ahuja; V. Srinivasa Somayazulu; Omesh Tickoo (ICPR, 2022)

Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models. - Nilesh A. Ahuja; Parual Datta; Bhavya Kanzariya; V. Srinivasa Somayazulu; Omesh Tickoo (CVPR, 2023)

Rate-Distortion Theory in Coding for Machines and its Application. - Alon Harell; Yalda Foroutan; Nilesh A. Ahuja; Parual Datta; Bhavya Kanzariya; V. Srinivasa Somayazulu; Omesh Tickoo; Anderson de Andrade; Ivan V. Bajic (CoRR, 2023)

Split-DNN Computing for Video Analytics. - Nagabhushan Eswara; Jaroslaw Sydir; V. Srinivasa Somayazulu; Parual Datta; Nilesh A. Ahuja; Omesh Tickoo (ICPR (3), 2024)

CUAL: Continual Uncertainty-aware Active Learner. - Amanda Rios; Ibrahima J. Ndiour; Parual Datta; Jerry Sydir; Omesh Tickoo; Nilesh A. Ahuja (CoRR, 2024)

CONCLAD: COntinuous Novel CLAss Detector. - Amanda Rios; Ibrahima J. Ndiour; Parual Datta; Omesh Tickoo; Nilesh A. Ahuja (CoRR, 2024)

Uncertainty Quantification in Continual Open-World Learning. - Amanda Sofie Rios; Ibrahima J. Ndiour; Parual Datta; Jaroslaw Sydir; Omesh Tickoo; Nilesh A. Ahuja (CoRR, 2024)

Rate-Distortion Theory in Coding for Machines and Its Applications. - Alon Harell; Yalda Foroutan; Nilesh A. Ahuja; Parual Datta; Bhavya Kanzariya; V. Srinivasa Somayazulu; Omesh Tickoo; Anderson de Andrade; Ivan V. Bajic (IEEE Trans. Pattern Anal. Mach. Intell., 2025)