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2020 – today
- 2022
[c20]Manali Bhavsar, Srimanta Mandal
:
Combining Non-local Sparse and Residual Channel Attentions for Single Image Super-resolution Across Modalities. CVIP (2) 2022: 623-637- [c19]Shivangi Gajjar, Avik Hati, Shruti Bhilare, Srimanta Mandal:
Generating Targeted Adversarial Attacks and Assessing their Effectiveness in Fooling Deep Neural Networks. SPCOM 2022: 1-5 - [c18]Meet Shah, Srimanta Mandal, Shruti Bhilare, Avik Hati Dhirubhai:
Increasing Transferability by Imposing Linearity and Perturbation in Intermediate Layer with Diverse Input Patterns. SPCOM 2022: 1-5 - [i3]Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan:
Deep Networks for Image and Video Super-Resolution. CoRR abs/2201.11996 (2022) - [i2]Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan:
Image Superresolution using Scale-Recurrent Dense Network. CoRR abs/2201.11998 (2022) - 2021
- [j7]Purva Mhasakar, Prapti Trivedi, Srimanta Mandal, Suman K. Mitra:
Handwritten Digit Recognition Using Bayesian ResNet. SN Comput. Sci. 2(5): 399 (2021) - [c17]Nilam Chaudhari, Suman K. Mitra, Srimanta Mandal, Sanid Chirakkal, Deepak Putrevu, Arundhati Misra:
Polarimetric SAR Classification: Fast Learning with k-Maximum Likelihood Estimator. CVIP (1) 2021: 281-293 - [c16]Manan Gajjar, Srimanta Mandal:
Homogeneous and Non-homogeneous Image Dehazing Using Deep Neural Network. CVIP (1) 2021: 375-386 - [c15]Arpit Pipara, Urvi Oza, Srimanta Mandal:
Underwater Image Color Correction Using Ensemble Colorization Network. ICCVW 2021: 2011-2020 - [i1]Srimanta Mandal, Kuldeep Purohit, A. N. Rajagopalan:
Mitigating Channel-wise Noise for Single Image Super Resolution. CoRR abs/2112.07589 (2021) - 2020
- [j6]Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan:
Mixed-dense connection networks for image and video super-resolution. Neurocomputing 398: 360-376 (2020) - [j5]Srimanta Mandal, A. N. Rajagopalan:
Local Proximity for Enhanced Visibility in Haze. IEEE Trans. Image Process. 29: 2478-2491 (2020) - [c14]Purva Mhasakar, Srimanta Mandal, Suman K. Mitra:
Multi-stream CNN for Face Anti-spoofing Using Color Space Analysis. CVIP (1) 2020: 200-211 - [c13]Parita Chavda, Srimanta Mandal, Suman K. Mitra:
Dimensionality Reduction by Consolidated Sparse Representation and Fisher Criterion with Initialization for Recognition. CVIP (3) 2020: 332-343 - [c12]Bhavya Shah, Krutarth Bhatt, Srimanta Mandal, Suman K. Mitra:
EMOTIONCAPS - Facial Emotion Recognition Using Capsules. ICONIP (4) 2020: 394-401
2010 – 2019
- 2018
- [c11]Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan:
Scale-Recurrent Multi-residual Dense Network for Image Super-Resolution. ECCV Workshops (5) 2018: 132-149 - [c10]Srimanta Mandal, Kuldeep Purohit, A. N. Rajagopalan:
Color Image Super Resolution in Real Noise. ICVGIP 2018: 61:1-61:9 - 2017
- [j4]Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao:
Noise adaptive super-resolution from single image via non-local mean and sparse representation. Signal Process. 132: 134-149 (2017) - [j3]Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao:
Depth Map Restoration From Undersampled Data. IEEE Trans. Image Process. 26(1): 119-134 (2017) - [c9]Prabhjot Kaur, Srimanta Mandal, Anil Kumar Sao:
Significance of Magnetic Resonance Image Details in Sparse Representation Based Super Resolution. MIUA 2017: 605-615 - [c8]Srimanta Mandal, A. N. Rajagopalan:
Single Noisy Image Super Resolution by Minimizing Nuclear Norm in Virtual Sparse Domain. NCVPRIPG 2017: 163-176 - [c7]Seema Kumari, Srimanta Mandal, Arnav Bhavsar:
Patch Similarity in Transform Domain for Intensity/Range Image Denoising with Edge Preservation. NCVPRIPG 2017: 257-268 - 2016
- [j2]Srimanta Mandal, Shejin Thavalengal, Anil Kumar Sao:
Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition. Pattern Anal. Appl. 19(3): 867-884 (2016) - [j1]Srimanta Mandal, Anil Kumar Sao:
Employing structural and statistical information to learn dictionary(s) for single image super-resolution in sparse domain. Signal Process. Image Commun. 48: 63-80 (2016) - [c6]Srimanta Mandal, Seema Kumari, Arnav Bhavsar, Anil Kumar Sao:
Multi-scale image denoising while preserving edges in sparse domain. EUVIP 2016: 1-6 - 2014
- [c5]Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao:
Hierarchical example-based range-image super-resolution with edge-preservation. ICIP 2014: 3867-3871 - [c4]Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao:
Super-resolving a Single Intensity/Range Image via Non-local Means and Sparse Representation. ICVGIP 2014: 58:1-58:8 - [c3]Shejin Thavalengal, Srimanta Mandal, Anil Kumar Sao:
Significance of dictionary for sparse coding based pose invariant face recognition. NCC 2014: 1-5 - 2013
- [c2]Srimanta Mandal, Anil Kumar Sao:
Edge preserving single image super resolution in sparse environment. ICIP 2013: 967-971 - [c1]Srimanta Mandal, Anil Kumar Sao:
Image deblurring in super-resolution framework. NCVPRIPG 2013: 1-4
Coauthor Index
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