Milind Gajanan Padalkar
Post Doc
Post Doc
About
Prior to joining PAVIS, I was working as a senior research engineer at Vehant Technologies Pvt. Ltd., NOIDA, India.
My Ph.D. thesis is titled "Novel Techniques for Auto-inpainting in Heritage Reconstruction", for which I worked under the supervision of Prof. M. V. Joshi at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India.
At DA-IICT, I also worked as teaching assistant and as a junior research fellow (JRF) in the Indian Digital Heritage (IDH)-Hampi project. I completed M.Tech. in Computer Engineering under the supervision of Prof. M. A. Zaveri at S. V. National Institute of Technology (SVNIT), Surat, India in 2010 and B.E. in Information Technology from Finolex Academy of Management and Technology (FAMT), Ratnagiri (The University of Mumbai) in 2008.
I have co-authored the book titled "Digital Heritage Reconstruction Using Super-resolution and Inpainting" published under Synthesis Lectures on Visual Computing by Morgan & Claypool Publishers in December 2016.
Interests
Image processing computer vision machine learningIIT Publications
- 2022
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DOI
3D Key-points Estimation From Single-view RGB Images
21st International Conference on Image Analysis and Processing (ICIAP) -
Artificial Intelligence Tools to Predict the Level of Defectiveness of Existing Bridges
ANIDIS - Associazione Nazionale Italiana di Ingegneria Sismica and ASSISi Association- Anti-Seismic Systems International Society -
Enhancing Machine Learning Pipelines on Industrial Applications
Workshop: AI for Industry, Second CINI National Conference on Artificial Intelligence (Ital-IA) - 2021
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DOI
Multi-Illumination Fusion With Crack Enhancement Using Cycle-Consistent Losses
2021 IEEE International Conference on Image Processing, pp. 2898-2902 - 2020
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DOI
A versatile crack inspection portable system based on classifier ensemble and controlled illumination
Proceedings - International Conference on Pattern Recognition, pp. 4009-4016 - 2018
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DOI
Automatic detection and inpainting of defaced regions and cracks in heritage monuments
Digital Hampi: Preserving Indian Cultural Heritage, pp. 225-244, Publisher: Springer Singapore - 2016
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DOI
Digital Heritage Reconstruction Using Super-resolution and Inpainting
Digital Heritage Reconstruction Using Super-resolution and Inpainting, Publisher: Morgan & Claypool - 2015
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DOI
Auto-inpainting heritage scenes: a complete framework for detecting and infilling cracks in images and videos with quantitative assessment
Machine Vision and Applications, vol. 26, (no. 2-3), pp. 317-337 -
DOI
Simultaneous Inpainting and Super-resolution Using Self-learning
26th British Machine Vision Conference, pp. 105.1-105.12 - 2013
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DOI
Identifying vandalized regions in facial images of statues for inpainting
Lecture Notes in Computer Science, vol. 8158 LNCS, pp. 208-217 -
DOI
SVD based automatic detection of target regions for image inpainting
Lecture Notes in Computer Science, vol. 7729 LNCS, (no. PART 2), pp. 61-71 - 2012
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Exemplar based Inpainting using Autoregressive Parameter Estimation
IEEE International Conference on Signal, Image and Video Processing (ICSIVP'12), pp. 154-160 - 2010
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DOI
Dissolve detection based shot identification using Singular Value Decomposition
AMS2010: Asia Modelling Symposium 2010 - 4th International Conference on Mathematical Modelling and Computer Simulation, pp. 312-316
Scientific Talks
- 2012
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Exemplar based Inpainting using Autoregressive Parameter Estimation
Awards
Awarded Travel Grant of INR 1,25,000/- by Xerox Research Centre India to present his work at the 26th British Machine Vision Conference (BMVC2015) at Swansea, United Kingdom.