Ashish Sinha

asinha [AT] iitr [DOT] ac [DOT] in

Bio

I am a first year Graduate student in the Computing Science Dept. at Simon Fraser University working with Prof. Ghassan Hamarneh on shape analysis of human meshes for medical applications. I graduated during COVID with a Bachelors in Materials Science from Indian Institute of Technology (IIT) Roorkee where I was advised by Prof. K.S Suresh for my thesis.
My research interests lie in 3D vision, shape analysis, neural rendering and computational photography using un/semi/weakly-supervised algorithms. I am also passionate about Materials informatics.
Briefly, I worked with Prof. Jonghyun Choi on domain adaptation of point cloud data. For my Bachelors' thesis, I worked on Localizing and Classfiying surface defects in surface and Scanning Electron Microscope (SEM) images of metals. During the summers of my junior year, I interned at Preferred Networks where I worked on 3D GAN-based reconstruction. I am also fortunate to have been supervised by Prof. Jose Dolz on biomedical image analysis.

If you want to collaborate or just chat, the best way to reach me is via email.

Publications

Most recent publications on Google Scholar.
‡ indicates equal contribution.

MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds

Ashish Sinha, Jonghyun Choi

in Review. Pre-print soon.

Paper

Deep Learning based Dimple Segmentation for Quantitative Fractography.

Ashish Sinha, K.S. Suresh

Industrial Machine Learning Workshop, ICPR. 2020. Spotlight

Paper

Multi-scale self-guided attention for medical image segmentation.

Ashish Sinha, Jose Dolz

JBHI: Journal of Biomedical and Health Informatics. 2020.

Paper

GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention.

Ashish Sinha, Yuichiro Hirano, Yohei Sugawara

NeurIPS'19, Workshop on Medical Imaging Meets NeurIPS. 2019.

Paper

MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds

Ashish Sinha, Jonghyun Choi

in Review. Pre-print soon.

Paper

Deep Learning based Dimple Segmentation for Quantitative Fractography.

Ashish Sinha, K.S. Suresh

Industrial Machine Learning Workshop, ICPR. 2020. Spotlight

Paper

Ntire 2020 challenge on image demoireing: Methods and results.

Yuan et. al., Ashish Sinha

CVPR'20: NTIRE Challenge on Image Demoireing. 2020. (Rank 13)

Paper

Multi-scale self-guided attention for medical image segmentation.

Ashish Sinha, Jose Dolz

JBHI: Journal of Biomedical and Health Informatics. 2020.

Paper

GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention.

Ashish Sinha, Yuichiro Hirano, Yohei Sugawara

NeurIPS'19, Workshop on Medical Imaging Meets NeurIPS. 2019.

Paper

Vitæ

Full Resume in PDF.

Website Design

Thanks to Martin Svenski for sharing this template.
Ashish Sinha
asinha [AT] iitr [DOT] ac [DOT] in