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2020 – today
- 2022
[c6]Indra Deep Mastan, Shanmuganathan Raman, Prajwal Singh:
DILIE: Deep Internal Learning for Image Enhancement. WACV (Workshops) 2022: 24-33- 2021
- [c5]Indra Deep Mastan, Shanmuganathan Raman:
DeepObjStyle: Deep Object-Based Photo Style Transfer. CVPR Workshops 2021: 711-719 - [c4]Indra Deep Mastan, Shanmuganathan Raman:
DeepCFL: Deep Contextual Features Learning from a Single Image. WACV 2021: 2896-2905 - [i8]Jatin Kumar, Indra Deep Mastan, Shanmuganathan Raman:
FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks. CoRR abs/2111.15438 (2021) - 2020
- [c3]Indra Deep Mastan, Shanmuganathan Raman
:
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting. WACV 2020: 2355-2364 - [i7]Harshil Jain, Rohit Patil, Indra Deep Mastan, Shanmuganathan Raman:
Blind Motion Deblurring through SinGAN Architecture. CoRR abs/2011.03705 (2020) - [i6]Indra Deep Mastan, Shanmuganathan Raman:
DeepCFL: Deep Contextual Features Learning from a Single Image. CoRR abs/2011.03712 (2020) - [i5]Indra Deep Mastan, Shanmuganathan Raman:
DILIE: Deep Internal Learning for Image Enhancement. CoRR abs/2012.06469 (2020) - [i4]Indra Deep Mastan, Shanmuganathan Raman:
DeepObjStyle: Deep Object-based Photo Style Transfer. CoRR abs/2012.06498 (2020)
2010 – 2019
- 2019
- [c2]Indra Deep Mastan, Shanmuganathan Raman:
Multi-Level Encoder-Decoder Architectures for Image Restoration. CVPR Workshops 2019: 1728-1737 - [i3]Indra Deep Mastan, Shanmuganathan Raman:
Multi-level Encoder-Decoder Architectures for Image Restoration. CoRR abs/1905.00322 (2019) - [i2]Indra Deep Mastan, Shanmuganathan Raman:
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting. CoRR abs/1912.04229 (2019) - 2018
- [i1]Indra Deep Mastan, Souradyuti Paul:
A New Approach to Deanonymization of Unreachable Bitcoin Nodes. IACR Cryptol. ePrint Arch. 2018: 243 (2018) - 2017
- [c1]Indra Deep Mastan, Souradyuti Paul:
A New Approach to Deanonymization of Unreachable Bitcoin Nodes. CANS 2017: 277-298
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