Srimanta Mandal

Dhirubhai Ambani Institute of Information and Communication Technology

Dr. Srimanta Mandal

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I am currently working as an Associate Professor at Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar. I have been a Post-Doctoral Fellow with Image Processing and Computer Vision (IPCV) Lab, Department of Electrical Engineering, IIT Madras under the supervision of Prof. A. N. Rajagoplan. I have recieved my PhD from School of Computing and Electrical Engineering, IIT Mandi under the supervision of Dr. Anil K. Sao. Title of my PhD thesis is "Novel Approaches for Super Resolution of Intensity/Range Image using Sparse Representation".

I am from Arambagh (past city Asansol), West Bengal, India.

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Resume

Experience

Education

Research Interests

  • Digital Image Processing
  • Computer Vision
  • Machine Learning

Currently Working On

  • Computer Vision Based Underwater Surveillance
  • Improving Visibility of Scene
  • Polarimetric SAR Image Classification
  • Image Super Resolution
  • Depth Map Restoration
  • Image Denoising in Presence of Real-World Noise
  • Point cloud Processing

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Teaching

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Publications

Journals

  1. Nilam Chaudhari, Suman K. Mitra, Srimanta Mandal, Sanid Chirakkal, Deepak Putrevu, and Arundhati Misra, "Edge-Preserving Classification of Polarimetric SAR Images using Wishart Distribution and Conditional Random Field," International Journal of Remote Sensing, vol. 43, no.6, pp.2134-2155, 2022.
  2. Nilam Chaudhari, Suman K. Mitra, Sanid Chirakkal, Srimanta Mandal, Deepak Putrevu, and Arundhati Misra, "Discrimination of multi-crop scenarios with polarimetric SAR data using Wishart mixture model," Journal of Applied Remote Sensing, vol. 15, no.3, pp. 1-21, 2021.
  3. Purva Mhasakar, Prapti Trivedi, Srimanta Mandal, and Suman K Mitra, "Handwritten Digit Recognition Using Bayesian ResNet," SN Computer Science, vol. 2, Article No. 399, pp. 1-10, 2021.
  4. Srimanta Mandal, and A. N. Rajagopalan, "Local Proximity for Enhanced Visibility in Haze," IEEE Transactions on Image Processing, vol. 29, pp. 2478-2491, 2020.
  5. Kuldeep Purohit, Srimanta Mandal, and A. N. Rajagopalan, "Mixed-dense Connection Networks for Image and Video Super-resolution," Neurocomputing, vol. 398, pp. 360-376, 2020.
  6. Kuldeep Purohit, Srimanta Mandal, and A. N. Rajagopalan, "Multi-level Weighted Enhancement for Underwater Image Dehazing," Journal of the Optical Society of America A, vol. 36, no. 6, pp. 1098-1108, Jun. 2019.
  7. Srimanta Mandal, Arnav Bhavsar and Anil Kumar Sao, "Depth Map Restoration from Under-sampled Data," IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 119-134, Jan. 2017. (The Results , The Code of PCC)
  8. Srimanta Mandal, Arnav Bhavsar and Anil Kumar Sao, "Noise Adaptive Super-Resolution from Single Image via Non-Local Mean and Sparse Representation," Signal Processing, vol. 132, pp. 134-149, Mar. 2017. (The Code )
  9. Srimanta Mandal and Anil Kumar Sao, "Employing structural and statistical information to learn dictionary(s) for single image super-resolution in sparse domain," Signal Processing: Image Communication, vol. 48, pp. 63-80, Oct. 2016. (The Code )
  10. Srimanta Mandal, Shejin Thavalengal, and Anil Kumar Sao, "Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition," Pattern Analysis and Applications, vol. 19, no. 3, pp. 867-884, Aug. 2016.

Conferences

  1. Akash Dhedhi, Srimanta Mandal, and Rajib Lochan Das "Attentions in Deep Framework to Enhance Images Degraded by Non-Homogeneous Haze," Accepted in 20th India Council International Conference (INDICON), 2023, pp. 1-6.
  2. Rushi Vachhani, Srimanta Mandal, and Bakul Gohel "Low-Resolution Face Recognition Using Multi-Stream CNN in Siamese Framework," Accepted in Seventh International Conference on Image Information Processing (ICIIP), 2023, pp. 1-6.
  3. Manali Bhavsar, and Srimanta Mandal "Combining Non-local Sparse and Residual Channel Attentions for Single Image Super-resolution Across Modalities," in the IAPR International Conference on Computer Vision & Image Processing (CVIP2022), 2022, Communications in Computer and Information Science, vol 1777. Springer, Cham, pp. 623–637.
  4. Meet A Shah, Srimanta Mandal, Shruti Bhilare, and Avik Hati "Increasing Transferability by Imposing Linearity and Perturbation in Intermediate Layer with Diverse Input Patterns," in IEEE International Conference on Signal Processing and Communications (SPCOM), 2022, pp. 1-5.
  5. Shivangi B Gajjar, Avik Hati, Shruti Bhilare, and Srimanta Mandal "Generating Targeted Adversarial Attacks and Assessing their Effectiveness in Fooling Deep Neural Networks," in IEEE International Conference on Signal Processing and Communications (SPCOM), 2022, pp. 1-5.
  6. Urvi Oza, Arpit Pipara, Srimanta Mandal, and Pankaj Kumar "Automatic Image Colorization using Ensemble of Deep Convolutional Neural Networks," in IEEE Region 10 Symposium (TENSYMP), 2022, pp. 1-6.
  7. Keval Rajyaguru, Srimanta Mandal, and Suman K. Mitra "Temporally Consistent Video Manipulation for Facial Expression Transfer," in IEEE IAS Global Conference on Emerging Technologies (GlobConET) , 2022, pp. 109-114.
  8. Manan Gajjar, and Srimanta Mandal "Homogeneous and Non-Homogeneous Image Dehazing using Deep Neural Network," in the Sixth IAPR International Conference on Computer Vision & Image Processing (CVIP2021) , 2021, Communications in Computer and Information Science, vol 1567. Springer, Cham, pp. 375-386.
  9. Nilam Chaudhari, Suman K. Mitra, Srimanta Mandal, Sanid Chirakkal, Deepak Putrevu, and Arundhati Misra, "Polarimetric SAR Classification: Fast Learning with k-Maximum Likelihood Estimator," in the Sixth IAPR International Conference on Computer Vision & Image Processing (CVIP2021) , 2021, Communications in Computer and Information Science, vol 1567. Springer, Cham, pp. 281-293.
  10. Arpit Pipara, Urvi Oza, and Srimanta Mandal, "Underwater Image Color Correction using Ensemble Colorization Network", In IEEE International Conference on Computer Vision (ICCV) Workshop, Oct. 2021, pp.2011-2020.
  11. Pious Pradhan, Alokendu Mazumder, Srimanta Mandal, and Badri N Subudhi, "Fusion-UWnet: Multi-channel Fusion-based Deep CNN for Underwater Image Enhancement," In IEEE OCEANS, 2021, pp. 1-5.
  12. Parita Chavda, Srimanta Mandal, and Suman K. Mitra, "Dimensionality Reduction by Consolidated Sparse Representation and Fisher Criterion with Initialization for Recognition," In: Singh S.K., Roy P., Raman B., Nagabhushan P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1376. Springer, Singapore, pp.332-343.
  13. Purva Mhasakar, Srimanta Mandal, and Suman K. Mitra, "Multi-stream CNN for Face Anti-spoofing Using Color Space Analysis," In: Singh S.K., Roy P., Raman B., Nagabhushan P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1376. Springer, Singapore, pp.200-211.
  14. Bhavya Shah, Krutarth Bhatt, Srimanta Mandal, and Suman K. Mitra, "EMOTIONCAPS - Facial Emotion Recognition Using Capsules," In: Yang H., Pasupa K., Leung A.CS., Kwok J.T., Chan J.H., King I. (eds) Neural Information Processing. ICONIP 2020. Communications in Computer and Information Science, vol 1332. Springer, Cham, 2020, pp.394-401.
  15. Srimanta Mandal, Kuldeep Purohit, and A. N. Rajagopalan, "Color Image Super Resolution in Real Noise," in A. M. Namboodiri, V. Balasubramanian, A. Roy-Chowdhury, and G. Gerig (eds) 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) ACM, New York, NY, USA, Article 61, 2018, pp.1-9. (Best Paper (Runner UP) Awarded )
  16. Kuldeep Purohit, Srimanta Mandal, and A. N. Rajagopalan, "Scale-Recurrent Multi-Residual Dense Network for Image Super-Resolution," in Leal-Taixé L., Roth S. (eds) Computer Vision– ECCV 2018 Workshops, The European Conference on Computer Vision (ECCV). Lecture Notes in Computer Science, vol 11133. Springer, Cham, 2018, pp.132-149.
  17. Srimanta Mandal, and A. N. Rajagopalan, "Single Noisy Image Super Resolution by Minimizing Nuclear Norm in Virtual Sparse Domain," in Rameshan R., Arora C., Dutta Roy S. (eds) Computer Vision, Pattern Recognition, Image Processing, and Graphics. NCVPRIPG 2017. Communications in Computer and Information Science, vol 841. Springer, Singapore, 2018, pp.163-176.
  18. Seema Kumari, Srimanta Mandal, and Arnav Bhavsar, "Patch Similarity in Transform Domain for Intensity/Range Image Denoising with Edge Preservation," in Rameshan R., Arora C., Dutta Roy S. (eds) Computer Vision, Pattern Recognition, Image Processing, and Graphics. NCVPRIPG 2017. Communications in Computer and Information Science, vol 841. Springer, Singapore, 2018, pp.257-268.
  19. Prabhjot Kaur, Srimanta Mandal, and Anil K. Sao, "Significance of Magnetic Resonance Image Details in Sparse Representation Based Super Resolution," in Proceedings of the Annual Conference on Medical Image Understanding and Analysis (MIUA), July 2017, pp. 605-615.
  20. Srimanta Mandal, Seema Kumari, Arnav Bhavsar and Anil Kumar Sao, "Multi-scale image denoising while preserving edges in sparse domain," in Proceedings of the 6th European Workshop on Visual Information Processing (EUVIP'16), Oct. 2014, pp. 1-6.
  21. Srimanta Mandal, Arnav Bhavsar and Anil Kumar Sao, "Super-resolving a Single Intensity/Range Image via Non-local Means and Sparse Representation," in Proceedings of the 9th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'14), Dec. 2014, pp. 1-8.
  22. Srimanta Mandal, Arnav Bhavsar and Anil Kumar Sao, "Hierarchichal Example-Based Range-Image Super-Resolution With Edge-Preservation," in Proceedings of the 21st IEEE International Conference on Image Processing (ICIP'14), Oct. 2014, pp. 3867-3871.
  23. Shejin Thavalengal, Srimanta Mandal and Anil Kumar Sao, "Significance of Dictionary for Sparse Coding Based Pose Invariant Face Recognition," in Proceedings of the National Conference on Communications (NCC'14), Feb. 2014, pp. 1-5.
  24. Srimanta Mandal and Anil Kumar Sao, "Image Deblurring in Super Resolution Framework," in Proceedings of the National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG'13), Dec. 2013, pp. 1-4.
  25. Srimanta Mandal and Anil Kumar Sao, "Edge Preserving Single Image Super Resolution in Sparse Environment," in Proceedings of the 20th IEEE International Conference on Image Processing (ICIP'13), Sept. 2013, pp. 967-971.

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Professional Activities



    Membership/Mentorship:
  • Advisory Group Member, Department of Technical Education, Gujarat
  • Mentor for setting up Centre of Excellence in Computation and Advanced Software in Government Engineering Colleges (Gujarat)
  • Senior Member of IEEE
  • Senior Member of IEEE Signal Processing Society
  • Life Member of Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI)
  • Life Member of Indian Society of Remote Sensing (ISRS)
  • Professional Member of ACM


    Reviewer of Journals (selected list):
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Multimedia
  • IEEE Access
  • IEEE Signal Processing Letter
  • Signal Processing (Elsevier)
  • Neurocomputing (Elsevier)
  • ISPRS Journal of Photogrammetry and Remote Sensing (Elsevier)


    Reviewer of Conferences (selected list):
  • ICVGIP (2018,2021,2022,2023)(ACM)
  • CVIP (2021,2022,2023)(Springer)
  • ICCV Workshops (2021)(IEEE)
  • PReMI (2019)(Springer)
  • INDICON (2019,2023)(IEEE)
  • SPCOM (2014,2018)(IEEE)
  • NCVPRIPG (2017,2019) (Springer)
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Achievements



  • Received Best Paper Award (Runner Up) in ICVGIP 2018
  • Ranked 7th position (Track 1 and 2) in PIRM super-resolution challenge at ECCV18
  • Received certificate of outstanding contribution in reviewing ISPRS Journal of Photogrammetry and Remote Sensing (Elsevier)
  • Received travel grant from IIT Mandi, for presenting work at International Conference on Image Processing 2014, Paris, France
  • Received pre-placement offer from Samsung R&D Institute, Noida


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Projects



  • "Development of Robotic Computing Accelerator"-SERB (DST) [2023-2024] (Co-PI)
  • "SAR Polarimetric image classification using Wishart Mixture Model and Convolution Neural Networks"-ISRO [2020-2023] (PI)
  • "Image Matching"-DAIICT seed grant [2019-2021] (PI)
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Students

Ph.D. Student: Thesis Topic

  1. Swati Priya: Detection of Heavy Metal Pollution in Vegetation and Characterization of Soil Clay Mineral using AVIRIS-NG Data (Co-Supervisor)

M.Tech Student (Graduated): Thesis/Project Topic

    2023

  1. Utkarsh Pandya: PolSAR Image Classification using Gaussian Context Transformation
  2. Jaymin Vekariya: Unsupervised Cycle GAN for Image Dehazing
  3. Ateendra Gaur: Salient Object Super-Resolution
  4. Pinak Gajera: Image De-raining using DNN
  5. Rahul Kumar: Effect of Image Enhancement on UW Object Tracking

    6. 2022

  6. Makhija Shradha Vipinkumar : PolSAR Image Classification using DNN
  7. Akash Dhedhi: Non-homogeneous Dehazing of Images
  8. Krishna Savaliya: Real World Image Denoising
  9. Bhavsar Manali Hiteshkumar: Deep Network for Image Super-resolution
  10. Shah Meet Ashvinkumar: Increasing Transferability of Adversarial Attacks (Co-Supervisor)
  11. Bharati Gourgopal Padhy (IIT Jammu student): Underwater Trashcan Detection (Joint Supervisor)
  12. Kunal Bhangare (IIT Jammu student): Sign Language Recognition (Joint Supervisor)
  13. Faridabi Shaikh (IIT Jammu student): Brain Tumor MRI Segmentation (Joint Supervisor)

    14. 2021

  14. Arpit Pipara: Image Colorization using Deep Networks
  15. Keval Atulkumar Rajyaguru: Temporal Consistent Video Manipulation
  16. Manan Gajjar: Image Dehazing Using Deep Learning
  17. Nilamben Chaudhuri: Classification of Polarimetric SAR Images
  18. Pious Pradhan (IIT Jammu student): Deep CNN for Underwater Image Enhancement (Joint Supervisor)

    19. 2020

  19. Parita Chavda: Dimensionality Reduction for Face Recognition (Co-Supervisor)
  20. Laheri Vishal Bharatkumar: Video Captioning

    21. 2019

  21. Dharit Parikh: Video Super-resolution
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Talks



  • Organized By: Government Engineering College, Gandhinagar, India "Background for Pattern Recognition," June 2019.
  • Organized By: Sarvajanik College of Engineering and Technology, Surat (in association with IEEE Signal Processing Society, Gujarat Chapter), India "Evolution of Super-resolution Imaging Techniques," February 2019.
  • Organized By: MCKV Institute of Engineering (in association with IEEE Kolakta section), India "Image Super-resolution: An overview," January 2014.
  • Organized By: Bells Institute of Management & Technology, India "A Glimpse of Digital Image Processing," December 2013.
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    • Contact Information