Mahesh Subedar

According to our database, Mahesh Subedar authored at least 25 papers between 2004 and 2023.

Collaborative distances:

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

2023

DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators.

Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness.

Jun-Liang Lin, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

2022

Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design.

Qijing Huang, Charles Hong, John Wawrzynek, Mahesh Subedar, Yakun Sophia Shao

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Partially-Supervised Novel Object Captioning Using Context from Paired Data.

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

Ranganath Krishnan, Nilesh A. Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer

CoRR, 2021

Mitigating Sampling Bias and Improving Robustness in Active Learning.

Ranganath Krishnan, Alok Sinha, Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer

CoRR, 2021

Partially-supervised novel object captioning leveraging context from paired data.

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

CoRR, 2021

Data augmentation to improve robustness of image captioning solutions.

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

CoRR, 2021

2020

B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning.

Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

CoRR, 2020

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes.

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Probabilistic Models to Detect Data Poisoning Attacks.

Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo

CoRR, 2019

MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks.

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

CoRR, 2019

Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks.

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference.

Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Uncertainty aware multimodal activity recognition with Bayesian inference.

Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang

CoRR, 2018

BAR: Bayesian Activity Recognition using variational inference.

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

CoRR, 2018

2017

A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic.

Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Yeongseon Lee

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

3D Blur Discrimination.

Mahesh M. Subedar, Lina J. Karam

ACM Trans. Appl. Percept., 2016

2015

Visual Quality with a Focus on 3D Blur Discrimination and Texture Granularity.

Mahesh Subedar

PhD thesis, 2015

A no reference texture granularity index and application to visual media compression.

Mahesh M. Subedar, Lina J. Karam

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A subjective study and an objective metric to quantify the granularity level of textures.

Mahesh M. Subedar, Lina J. Karam

Proceedings of the Human Vision and Electronic Imaging XX, 2015

2014

Study of blur discrimination for 3D stereo viewing.

Mahesh Subedar, Lina J. Karam

Proceedings of the Stereoscopic Displays and Applications XXV, 2014

2008

A Comparative Study of Color and Contrast Enhancement for Still Images and Consumer Video Applications.

Abhijit Sarkar, Mark D. Fairchild, Jorge E. Caviedes, Mahesh Subedar

Proceedings of the 16th Color and Imaging Conference, 2008

2004

JPEG2000-based shape adaptive algorithm for the efficient coding of multiple regions-of interest.

Mahesh Subedar, Lina J. Karam, Glen P. Abousleman

Proceedings of the 2004 International Conference on Image Processing, 2004

An embedded scaling-based arbitrary shape region-of-interest coding method for JPEG2000.

Mahesh Subedar, Lina J. Karam, Glen P. Abousleman

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004