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Chanda, Bhabatosh
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1

Significance of Anatomical Constraints in Virtual Try-On:

Roy, Debapriya ; Santra, Sanchayan ; Mukherjee, Diganta.
IEEE Transactions on Emerging Topics in Computational Intelligence.  8 (2024)  2 - p. 1853-1864 , 2024
Link: https://doi.org/10.1109/..
 
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2

On Regenerative and Discriminative Learning from Digital He..:

, In: Advances in Data-Driven Computing and Intelligent Systems; Lecture Notes in Networks and Systems,
Ghosh, Sreeya ; Basu, Arkaprabha ; Paul, Sandip.. - p. 405-417 , 2023
Link: https://doi.org/10.1007/..
 
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3

Digital Restoration of Cultural Heritage With Data-Driven C..:

Basu, Arkaprabha ; Paul, Sandip ; Ghosh, Sreeya...
IEEE Access.  11 (2023)  - p. 53939-53977 , 2023
Link: https://doi.org/10.1109/..
 
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4

LGVTON: a landmark guided approach for model to person virt..:

Roy, Debapriya ; Santra, Sanchayan ; Chanda, Bhabatosh
Multimedia Tools and Applications.  81 (2022)  4 - p. 5051-5087 , 2022
Link: https://doi.org/10.1007/..
 
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5

Text Extraction and Restoration of Old Handwritten Document:

, In: Digital Techniques for Heritage Presentation and Preservation,
Wadhwani, Mayank ; Kundu, Debapriya ; Chakraborty, Deepayan. - p. 109-132 , 2021
Link: https://doi.org/10.1007/..
 
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6

Digital Techniques for Heritage Presentation and Preservati..:

Mukhopadhyay, Jayanta ; Sreedevi, Indu ; Chanda, Bhabatosh.. - 1st ed. 2021 . , 2021
Link: https://doi.org/10.1007/..
 
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7

Incorporating Human Body Shape Guidance for Cloth Warping i..:

, In: 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ),
Roy, Debapriya ; Santra, Sanchayan ; Chanda, Bhabatosh - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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8

Supervised Interactive Co-segmentation Using Histogram Matc..:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Bhandari, Harsh ; Palit, Sarbani ; Chanda, Bhabatosh - p. 287-306 , 2020
Link: https://doi.org/10.1007/..
 
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9

Image Restoration by Learning Morphological Opening-Closing..:

Mondal, Ranjan ; Dey, Moni Shankar ; Chanda, Bhabatosh
Mathematical Morphology - Theory and Applications.  4 (2020)  1 - p. 87-107 , 2020
Link: https://doi.org/10.1515/..
 
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10

Robust Identification of Dense or Sparse Crowd Based on Cla..:

, In: Lecture Notes in Computer Science; Pattern Recognition and Machine Intelligence,
Dutta, Saikat ; Naskar, Soumya Kanti ; Saha, Sanjoy Kumar. - p. 131-139 , 2019
Link: https://doi.org/10.1007/..
 
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11

Restoration of Historical Document Images Using Convolution..:

, In: 2019 IEEE Region 10 Symposium (TENSYMP),
Raha, Poulami ; Chanda, Bhabatosh - p. 56-61 , 2019
Link: https://doi.org/10.1109/..
 
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12

Morphological Networks for Image De-raining:

, In: Discrete Geometry for Computer Imagery; Lecture Notes in Computer Science,
Mondal, Ranjan ; Purkait, Pulak ; Santra, Sanchayan. - p. 262-275 , 2019
Link: https://doi.org/10.1007/..
 
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13

TexFusionNet: An Ensemble of Deep CNN Feature for Texture C..:

, In: Proceedings of 3rd International Conference on Computer Vision and Image Processing; Advances in Intelligent Systems and Computing,
Roy, Swalpa Kumar ; Dubey, Shiv Ram ; Chanda, Bhabatosh.. - p. 271-283 , 2019
Link: https://doi.org/10.1007/..
 
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14

Learning 2D Morphological Network for Old Document Image Bi..:

, In: 2019 International Conference on Document Analysis and Recognition (ICDAR),
Mondal, Ranjan ; Chakraborty, Deepayan ; Chanda, Bhabatosh - p. 65-70 , 2019
Link: https://doi.org/10.1109/..
 
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15

Novel Features for Diagnosis of Parkinson's Disease From of..:

, In: 2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST),
Gupta, Jija Das ; Chanda, Bhabatosh - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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