Mahesh Subedar

Orcid: 0000-0001-5371-9113

According to our database1, Mahesh Subedar authored at least 26 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Parameter-Efficient Active Learning for Foundational models.
CoRR, 2024

2023
DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness.
Proceedings of the IEEE International Symposium on Workload Characterization, 2023

2022
Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design.
Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Partially-Supervised Novel Object Captioning Using Context from Paired Data.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Improving Robustness and Efficiency in Active Learning with Contrastive Loss.
CoRR, 2021

Mitigating Sampling Bias and Improving Robustness in Active Learning.
CoRR, 2021

Partially-supervised novel object captioning leveraging context from paired data.
CoRR, 2021

Data augmentation to improve robustness of image captioning solutions.
CoRR, 2021

2020
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning.
CoRR, 2020

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Probabilistic Models to Detect Data Poisoning Attacks.
CoRR, 2019

MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks.
CoRR, 2019

Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Uncertainty aware multimodal activity recognition with Bayesian inference.
CoRR, 2018

BAR: Bayesian Activity Recognition using variational inference.
CoRR, 2018

2017
A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
3D Blur Discrimination.
ACM Trans. Appl. Percept., 2016

2015
Visual Quality with a Focus on 3D Blur Discrimination and Texture Granularity.
PhD thesis, 2015

A no reference texture granularity index and application to visual media compression.
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.
Proceedings of the Human Vision and Electronic Imaging XX, 2015

2014
Study of blur discrimination for 3D stereo viewing.
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.
Proceedings of the 16th Color and Imaging Conference, 2008

2004
JPEG2000-based shape adaptive algorithm for the efficient coding of multiple regions-of interest.
Proceedings of the 2004 International Conference on Image Processing, 2004

An embedded scaling-based arbitrary shape region-of-interest coding method for JPEG2000.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


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