Milind Gajanan Padalkar

Post Doc
Post Doc

Research Lines

Center

Contacts

PAVIS, IIT, 8th Floor, Tower B, GREAT Campus – Erzelli Via Enrico Melen, 83, 16152 Genova GE, Italy
+39 010 2897 - - -

Social profiles

googlescholar linkedin

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 learning

IIT Publications

  • 2022
  • Zohaib M.iit, Taiana M.iit, Padalkar M. G.iit, Del Bue A.iit
    DOI

    3D Key-points Estimation From Single-view RGB Images

    21st International Conference on Image Analysis and Processing (ICIAP)
  • Natali A., Padalkar M. G.iit, Messina V., Salvatore W., Morerio P.iit, Del Bue A., Beltrán-González C.iit

    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
  • Beltrán-González C.iit, Padalkar M. G.iit, Del Bue A.iit

    Enhancing Machine Learning Pipelines on Industrial Applications

    Workshop: AI for Industry, Second CINI National Conference on Artificial Intelligence (Ital-IA)
  • 2021
  • Padalkar M. G.iit, Beltrán-González C.iit, Del Bue A.iit
    DOI

    Multi-Illumination Fusion With Crack Enhancement Using Cycle-Consistent Losses

    2021 IEEE International Conference on Image Processing, pp. 2898-2902
  • 2020
  • Padalkar M.G.iit, Beltran-Gonzalez C.iit, Bustreo M.iit, Del Bue A.iit, Murino V.iit
    DOI

    A versatile crack inspection portable system based on classifier ensemble and controlled illumination

    Proceedings - International Conference on Pattern Recognition, pp. 4009-4016
  • 2018
  • Padalkar M.G., Joshi M.V.
    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
  • Padalkar M. G., Joshi M. V., Khatri N. L.
    DOI

    Digital Heritage Reconstruction Using Super-resolution and Inpainting

    Digital Heritage Reconstruction Using Super-resolution and Inpainting, Publisher: Morgan & Claypool
  • 2015
  • Padalkar M.G., Joshi M.V.
    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
  • Padalkar M. G., Joshi M. V., Khatri N. L.
    DOI

    Simultaneous Inpainting and Super-resolution Using Self-learning

    26th British Machine Vision Conference, pp. 105.1-105.12
  • 2013
  • Padalkar M.G., Vora M.V., Joshi M.V., Zaveri M.A., Raval M.S.
    DOI

    Identifying vandalized regions in facial images of statues for inpainting

    Lecture Notes in Computer Science, vol. 8158 LNCS, pp. 208-217
  • Padalkar M.G., Zaveri M.A., Joshi M.V.
    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
  • Padalkar M. G., Joshi M. V., Zaveri M. A., and Parmar C. M.

    Exemplar based Inpainting using Autoregressive Parameter Estimation

    IEEE International Conference on Signal, Image and Video Processing (ICSIVP'12), pp. 154-160
  • 2010
  • Padalkar M.G., Zaveri M.A.
    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
  • Padalkar M. G., Joshi M. V., Zaveri M. A., and Parmar C. M.

    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.