| 2025 | ICASSP | FUVAS: Few-shot Unsupervised Video Anomaly Segmentation via Low-Rank Factorization of Spatio-Temporal Features. | Jiaxiang Jiang, Ibrahima J. Ndiour, Mahesh Subedar, Omesh Tickoo |
| 2024 | ICCAD | Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization. | Chien-Yi Yang, Minxuan Zhou, Flavio Ponzina, Suraj Sathya Prakash, Raid Ayoub, Pietro Mercati, Mahesh Subedar, Tajana Rosing |
| 2023 | MICRO | DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. | Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao |
| 2022 | BMVC | Partially-Supervised Novel Object Captioning Using Context from Paired Data. | Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo |
| 2022 | ISPASS | Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design. | Qijing Huang, Charles Hong, John Wawrzynek, Mahesh Subedar, Yakun Sophia Shao |
| 2020 | AAAI | Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. | Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo |
| 2019 | CVPR | Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. | Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang |
| 2019 | ICCV | Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. | Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang |
| 2004 | ICASSP | An embedded scaling-based arbitrary shape region-of-interest coding method for JPEG2000. | Mahesh Subedar, Lina J. Karam, Glen P. Abousleman |
| 2004 | ICIP | JPEG2000-based shape adaptive algorithm for the efficient coding of multiple regions-of interest. | Mahesh Subedar, Lina J. Karam, Glen P. Abousleman |