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Milind Gajanan Padalkar
Milind Gajanan Padalkar
Verified email at iit.it - Homepage
Title
Cited by
Cited by
Year
Auto-inpainting heritage scenes: a complete framework for detecting and infilling cracks in images and videos with quantitative assessment
MG Padalkar, MV Joshi
Machine Vision and Applications 26, 317-337, 2015
102015
Svd based automatic detection of target regions for image inpainting
MG Padalkar, MA Zaveri, MV Joshi
Computer Vision-ACCV 2012 Workshops: ACCV 2012 International Workshops …, 2013
92013
3d key-points estimation from single-view rgb images
M Zohaib, M Taiana, MG Padalkar, A Del Bue
International Conference on Image Analysis and Processing, 27-38, 2022
82022
Digital heritage reconstruction using super-resolution and inpainting
MG Padalkar, MV Joshi, NL Khatri
Morgan & Claypool, 2017
72017
A versatile crack inspection portable system based on classifier ensemble and controlled illumination
MG Padalkar, C Beltrán-González, M Bustreo, A Del Bue, V Murino
2020 25th International Conference on Pattern Recognition (ICPR), 4009-4016, 2021
62021
Identifying vandalized regions in facial images of statues for inpainting
MG Padalkar, MV Vora, MV Joshi, MA Zaveri, MS Raval
New Trends in Image Analysis and Processing–ICIAP 2013: ICIAP 2013 …, 2013
62013
Artificial Intelligence tools to predict the level of defectiveness of existing bridges
A Natali, MG Padalkar, V Messina, W Salvatore, P Morerio, A Del Bue, ...
Procedia Structural Integrity 44, 2020-2027, 2023
42023
Dissolve detection based shot identification using singular value decomposition
MG Padalkar, MA Zaveri
2010 Fourth Asia International Conference on Mathematical/Analytical …, 2010
42010
Simultaneous inpainting and super-resolution using self-learning
MG Padalkar, MV Joshi, N Khatri
Proceedings of the British Machine Vision Conference (BMVC), 105.1-105.12, 2015
32015
Exemplar based inpainting using autoregressive parameter estimation
MG Padalkar, MV Joshi, MA Zaveri, CM Parmar
Proceedings of the International Conference on Signal, Image and Video …, 2012
32012
Cdhn: Cross-domain hallucination network for 3d keypoints estimation
M Zohaib, MG Padalkar, P Morerio, M Taiana, A Del Bue
Available at SSRN 4349267, 0
2
Multi-illumination fusion with crack enhancement using cycle-consistent losses
MG Padalkar, C Beltrán-González, A Del Bue
2021 IEEE International Conference on Image Processing (ICIP), 2898-2902, 2021
12021
Automatic Detection and Inpainting of Defaced Regions and Cracks in Heritage Monuments
MG Padalkar, MV Joshi
Digital Hampi: Preserving Indian Cultural Heritage, 225-244, 2017
12017
An Exemplar-based Inpainting Using an Autoregressive Model
MG Padalkar, MV Joshi, NL Khatri
Digital Heritage Reconstruction Using Super-resolution and Inpainting, 47-55, 2017
2017
Detecting and Inpainting Damaged Regions in Facial Images of Statues
MG Padalkar, MV Joshi, NL Khatri
Digital Heritage Reconstruction Using Super-resolution and Inpainting, 83-91, 2017
2017
Challenges and Future Directions
MG Padalkar, MV Joshi, NL Khatri
Digital Heritage Reconstruction Using Super-resolution and Inpainting, 131-133, 2017
2017
Auto-inpainting Cracks in Heritage Scenes
MG Padalkar, MV Joshi, NL Khatri
Digital Heritage Reconstruction Using Super-resolution and Inpainting, 93-129, 2017
2017
Self-learning: Faster, Smarter, Simpler
MG Padalkar, MV Joshi, NL Khatri
Digital Heritage Reconstruction Using Super-resolution and Inpainting, 35-46, 2017
2017
Image Super-resolution: Self-learning, Sparsity and Gabor Prior
MG Padalkar, MV Joshi, NL Khatri
Digital Heritage Reconstruction Using Super-resolution and Inpainting, 19-33, 2017
2017
Simultaneous Inpainting and Super-resolution
MG Padalkar, MV Joshi, NL Khatri
Digital Heritage Reconstruction Using Super-resolution and Inpainting, 71-82, 2017
2017
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