Mahesh Subedar

Amrutha Machireddy

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Jun-Liang Lin

Keyur Ruganathbhai Ranipa

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2021

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

[BibT_eX]

[DOI]

CoRR, 2021

Mitigating Sampling Bias and Improving Robustness in Active Learning.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Data augmentation to improve robustness of image captioning solutions.

[BibT_eX]

[DOI]

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

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

2019

Deep Probabilistic Models to Detect Data Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

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

Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Uncertainty aware multimodal activity recognition with Bayesian inference.

[BibT_eX]

[DOI]

CoRR, 2018

BAR: Bayesian Activity Recognition using variational inference.

[BibT_eX]

[DOI]

CoRR, 2018

2017

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

[BibT_eX]

[DOI]

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

2016

3D Blur Discrimination.

[BibT_eX]

[DOI]

Mahesh M. Subedar

ACM Trans. Appl. Percept., 2016

2015

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

[BibT_eX]

[DOI]

PhD thesis, 2015

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

[BibT_eX]

[DOI]

Mahesh M. Subedar

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.

[BibT_eX]

[DOI]

Mahesh M. Subedar

Proceedings of the Human Vision and Electronic Imaging XX, 2015

2014

Study of blur discrimination for 3D stereo viewing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 16th Color and Imaging Conference, 2008

2004

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]