Specialization

Computer Vision, Computational Imaging and Photography, Machine Learning and Data Science

Email

mansi.sharma@thapar.edu

Homepage (s):

https://sites.google.com/view/sharmamansi

Academic Qualification:

1.    Ph.D., Department of Electrical Engineering (Computer Technology Group), Indian Institute of Technology Delhi

2.    M.Tech. in Computer Applications, Department of Mathematics (Mathematics and Computing Group), Indian Institute of Technology Delhi

3.    M.Sc. in Mathematics, Department of Mathematics (Mathematics and Computing Group), Indian Institute of Technology Delhi

4.    B.Sc. (Physics, Chemistry, Mathematics), D. A. V. (P.G.) College Bulandshahr, Affiliated to Chaudhary Charan Singh University, Meerut
 

 

Work Experience:

1.    Assistant Professor - II, Department of Computer Science & Engineering, Thapar Institute of Engineering & Technology, Thapar Technology Campus, Patiala (Dec 2023-Present)

2.    ADJUNCT FACULTY, Department of Electrical Engineering, IIT Madras, (Nov 2022-Present)

3.    Assistant Professor (Sl. Gr.), Department of Computer Science & Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu 
           (Nov 2022-Oct 2023)

4.    INSPIRE FACULTY, Department of Electrical Engineering, Indian Institute of Technology Madras (May 2018-Oct 2022)

5.    Research Associate, Department of Electrical Engineering, Indian Institute of Technology Delhi (July 2010-June 2014)

 

Sponsored Projects & Research Grants:

 
1.    Project Title: Tools and Processes for Multi-view 3D Display Technologies
INSPIRE Research Grant, Department of Science and Technology 
       My Role: Principal Investigator

       Project Duration: 2018-2023
       Status: Completed

2.    Project Title: Lensless imaging for eXtended Reality (XR), visual privacy and endoscopy,

       Core Research Grant 

       My Role: Co-Investigator
       Project Duration: 2023-2026
       Status: On-going

3.    Project Title: Virtual Reality and Haptics (ViRaH)

      Ministry of Human Resource and Development and

      Xperiential Technologies Innovation Center (XTIC) IIT Madras
      Project Duration: 2021-2023
      My Role: Co-Investigator 
      Status - Completed

Awards/Honors/Recognitions:

1.    Nominated by the Program Chair Committee of ACM Multimedia 2023 to serve as a Reviewer - Premier International Conference in Multimedia ICASSP 2022.
2.    Outstanding Reviewer Recognition - IEEE Signal Processing Society.

3.    DST Inspire Faculty Award, Session-II 2017, Indian National Science Academy.

4.    Selected as a Post Doctoral Fellow in the Dept. of Electrical Engineering, IIT Delhi, Feb 2018. 

5.    Distinguished Program Committee Member IJCAI-ECAI 2018, Premier 27th International Joint Conference on Artificial Intelligence & 23rd European Conference on Artificial Intelligence.

6.    Serving Editorial Board of Frontiers in Rehabilitation Sciences - Strengthening Rehabilitation in Health Systems (Since 2022).

7.    Serving Editorial Board of Haptics - Guest Associate Editor (Since 2021). 
 
8.    Review Editor for Frontiers in Virtual Reality, Review Editor for Frontiers in Robotics and AI.

9.    Editorial Board of Machine Learning and Artificial Intelligence (Since 2021).

10.    Review Editor for Frontiers in Big Data, Review Editor for Frontiers in Artificial Intelligence. 
 

 Publications:

Refereed Journal Papers Published:

1.    Rohit Choudhary, Mansi Sharma, Uma T V, Rithvik Anil, “MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications,” The Visual Computer, 2023

          Impact Factor - 3.5, Best Quartiles: Computer Graphics and Computer- 
          Aided Design, Computer Vision and Pattern Recognition, 
          ScimagoJR H Index - 71

2.    Joshitha R∗, Mansi Sharma∗, “A Novel Hierarchical Light Field Coding Scheme Based on Hybrid Stacked Multiplicative Layers and Fourier Disparity Layers for Glasses-Free 3D Displays,” Signal Processing: Image Communication, 2022

           Impact Factor - 3.5, CiteScore - 7.1, Quartile 1: Electrical and  
           Electronic Engineering, ScimagoJR H Index - 93

3.    Joshitha R∗, Mansi Sharma∗, Sally Khaidem, “A Hybrid Tucker-VQ Tensor Sketch Decomposition Model for Coding and Streaming Real World Light Fields using Stack of Differently Focused Images,” Pattern Recognition Letters, Volume 159, July 2022, Pages 23-30. 

      Impact Factor - 5.1, CiteScore - 11.5, Quartile 1: Artificial Intelligence, 
      ScimagoJR H Index - 170

4.    Joshitha R and Mansi Sharma, “A Hierarchical Approach for Lossy Light field Compression with Multiple Bit Rates Based on Tucker Decomposition via Random Sketching,” in IEEE Access, 2022, doi:
 

 

10.1109/ACCESS.2022.3177601. 

Impact Factor - 3.476, Quartile 1: Computer Science, ScimagoJR H Index – 204

5.    Joshitha R, Mansi Sharma, “An Integrated Learning & Approximation Scheme for Coding of Static or Dynamic Light fields Based on Hybrid Tucker-KLTSVD via Tensor Double-Sketching,” IET Signal Processing 2022. 

       Impact Factor - 1.99, Quartile 2: Electrical & Electronic Engineering,  
       ScimagoJR H Index - 49

6.    Joshitha R∗, Mansi Sharma∗, Pradeep Gopalakrishnan, “A Flexible Coding Scheme Based On Block Krylov Subspace Approximation for Light Field Displays With Stacked Multiplicative Layers,” Sensors 2021, 21, 4574.

       Impact Factor - 3.9, Quartile 2: Engineering, Electrical & Electronic,  
           ScimagoJR H Index - 219

7.    Mansi Sharma, S. Chaudhury, Brejesh Lall, “A Novel Hybrid Kinect-Variety-Based High-Quality Multiview Rendering Scheme for Glass-Free 3D Displays,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 10, pp. 2098-2117, Oct. 2017.

          Impact Factor - 8.4, CiteScore - 11.2, Quartile 1 (Electrical & Electronic  
          Engineering), ScimagoJR H Index – 180

8.    Mansi Sharma, S. Chaudhury, Brejesh Lall, and M. S. Venkatesh, “A Flexible Architecture for Multi-view 3D TV based on Uncalibrated Cameras,” in Journal of Visual Communication and Image Representation, Vol. 25, Issue 4, May 2014, pp. 599-621. 

             Impact Factor - 2.6, CiteScore - 6.8, Quartile 1 (Electrical & Electronic 
         Engineering), ScimagoJR H Index - 88

Refereed Conference Papers Published:

1.    Sally Khaidem and Mansi Sharma, “A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network,” 14th Indian Conference on Computer Vision, Graphics, and Image Processing 2023, Ropar, Punjab, India

2.    Rohit Choudhary, T Harshith Reddy, Mansi Sharma, “ELEGAN: An Efficient Low Light Enhancement GAN for Unpaired Supervision,” IEEE International Conference on Image Processing (ICIP 2023), Kuala Lumpur

3.    Joshitha R, Sally Khaidem, Mansi Sharma, “A Data-Driven Approach based on Dynamic Mode Decomposition for Efficient Encoding of Dynamic Light Fields,” In IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023), The 3rd Workshop on Light Fields for Computer Vision LFNAT: New Applications and Trends in Light Fields, June 18, 2023, Vancouver, Canada.

 

4.    Rohit Choudhary, Rithvik Anil, Mansi Sharma, “2T-UNET: A Novel Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation,” IEEE Conference on Systems, Man, and Cybernetics, Hyatt Maui, Hawaii, USA 2023.

5.    Aditya Sanjiv Kanade, Mansi Sharma, M Manivannan, “Attention-Guided Deep Learning Framework for Movement Quality Assessment,” 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Greek island of Rhodes.

6.    Aditya Sanjiv Kanade, Mansi Sharma, M Manivannan “TELE-EVALNET: A Low-Cost, Telecon-sultation System for Home Based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture,” Tenth International Workshop on Assistive Computer Vision and Robotics (ACVR 2022), Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VI, Pages 738–750. 

7.    Rithvik Anil, Mansi Sharma, Rohit Choudhary, “SDE-DualENet: A Novel Dual Efficient Convolu-tional Neural Network for Robust Stereo Depth Estimation,” IEEE Visual Communications and Image Processing (IEEE VCIP 2021), Novotel Munich City, Germany, pp. 1-5.

8.    Joshitha R∗, Mansi Sharma∗, “A Hierarchical Coding Scheme for Glasses-free 3D Displays Based On Scalable Hybrid Layered Representation of Real-World Light Fields,” IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2021), pp. 3491-3498. 

 
9.    Joshitha R∗, Mansi Sharma∗, Sally Khaidem, “A Novel Compression Scheme Based On Hybrid Tucker-Vector Quantization via Tensor Sketching for Dynamic Light Fields Acquired Through Coded Aperture Camera,” 2021 International Conference on 3D Immersion (IC3D), Brussels, Belgium, pp. 1-8.

10.    Balasubramanyam Appina, Mansi Sharma, Santosh Kumar, Peter A. Kara, Aniko Simon, Mary Guindy, “Latent Factor Modeling of Perceived Quality for Stereoscopic 3D Video Recommendation,” In Proceedings of 2021 International Conference on 3D Immersion (IC3D 2021), Brussels, Belgium. 

11.    Mohammad Aaftab V, Mansi Sharma, “OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks,” Sixth IAPR International Conference on Computer Vision Image Processing (CVIP 2021), Indian Institute of Technology Ropar, Punjab, India, 2021.

12.    Vineet Thumuluri, Mansi Sharma, “A Unified Deep Learning Approach for Foveated Rendering & Novel View Synthesis from Sparse RGB-D Light Fields”, In Proceedings of 2020 International Conference on 3D Immersion (IC3D 2020), Brussels, Belgium, 2020, pp. 1-8. 

13.    Mansi Sharma, Abheesht Sharma, Kadvekar Rohit Tushar, Avinash Panneer, “A Novel 3D-UNet Deep Learning Framework Based On High-Dimensional Bilateral Grid For Edge Consistent Single Image Depth Estimation”, In Proceedings of 2020 International Conference on 3D Immersion (IC3D 2020), Brussels, Belgium, 2020, pp. 1-8. 

14.    Mansi Sharma and Gowtham Ragavan, “A Novel Randomize Hierarchical Extension of MV-HEVC for Improved Light Field Compression,” International Conference on 3D Immersion (IC3D), 2019, pp. 1-8. 

15.    M. Sharma, M. S. Venkatesh, G. Ragavan and R. Lal, “A Novel Approach for Multi-View 3D HDR Content Generation via Depth Adaptive Cross Trilateral Tone Mapping,” 2019 International Conference on 3D Immersion (IC3D), 2019, pp. 1-8. 

16.    Avinash P. and Mansi Sharma, “Predicting Forward & Backward Facial Depth Maps From a Single RGB Image For Mobile 3d AR Application,” 2019, International Conference on 3D Immersion (IC3D), Brussels, Belgium, 2019, pp. 1-8. 
 
 
17.    Mansi Sharma and Gowtham Ragavan, “A Novel Image Fusion Scheme for FTV View Synthesis Based on Layered Depth Scene Representation & Scale Periodic Transform,” 2019 International Conference on 3D Immersion (IC3D), Brussels, Belgium, 2019, pp. 1-8. 

18.    Mansi Sharma, Gowtham Ragavan, and Arathi B., “A Novel Algebaric Variety Based Model for High Quality Free-Viewpoint View Synthesis on a Krylov Subspace,” 2019 International Conference on 3D Immersion (IC3D), Brussels, Belgium, 2019, pp. 1-8. 

19.    Aditya Wadaskar, Mansi Sharma, and Rohan Lal, “A Rich Stereoscopic 3D High Dynamic Range Image & Video Database of Natural Scenes,” International Conference on 3D Immersion (IC3D), Brussels, Belgium, 2019, pp. 1-8. 

20.    Mansi Sharma, M. S. Venkatesh, Rohan Lal, “A Novel Approach for Multi-view 3D HDR Content Generation Based on DIBR & Depth Adaptive Tone Mapping,” European Light Field Imaging Work-shop (ELFI 2019), Borovets, Bulgaria; In proceedings of European Association for Signal Processing (EURASIP). 

21.    Mansi Sharma and Rohan Lal, “A Novel Convex Autoregressive Model for Light Field Denoising on Riemannian Space,” European Light Field Imaging Workshop (ELFI 2019), Borovets, Bulgaria; In proceedings of European Association for Signal Processing (EURASIP). 

22.    M. Sharma, S. Chaudhury and B. Lall, “Content-aware seamless stereoscopic 3D compositing,” In Pro-ceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP’14), ACM, New York, NY, USA, Article 72, 2014, 8 pages. 

23.    M. Sharma, S. Chaudhury and B. Lall, “Kinect-Variety Fusion: A Novel Hybrid Approach for Artifacts-Free 3DTV Content Generation,” 22nd International Conference on Pattern Recognition, Stockholm, 2014, pp. 2275-2280. 

24.    M. Sharma, S. Chaudhury and B. Lall, “Space-Time Parameterized Variety Manifolds: A Novel Approach for Arbitrary Multi-perspective 3D View Generation,” International Conference on 3D Vision- 3DV 2013, Seattle, WA, 2013, pp. 358-365. 

25.    M. Sharma, S. Chaudhury and B. Lall, “A novel variety-based 3DTV content generation scheme for casually captured sparse photo collections,” 3DTV Vision Beyond Depth (3DTV-CON), Aberdeen, 2013, pp. 1-4. 

26.    M. Sharma, S. Chaudhury and B. Lall, “Parameterized variety based view synthesis scheme for multi-view 3DTV,” In Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV (ACCV’12), Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, and Zhanyi Hu (Eds.), Vol. Part IV. Springer-Verlag, Berlin, Heidelberg, 538-551. 

27.    M. Sharma, S. Chaudhury and B. Lall, “A free viewpoint 3DTV system based on parameterized variety model,” In Proceedings of the 21st International Conference on Pattern Recognition (ICPR’12), Tsukuba, 2012, pp. 1026-1029. 

28.    M. Sharma, S. Chaudhury and B. Lall, “Parameterized variety for multi-view multi-exposure image synthesis and high dynamic range stereo reconstruction,” 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), Zurich, 2012, pp. 1-4. 

29.    M. Sharma, S. Chaudhury, and B. Lall, “3DTV view generation with virtual pan/tilt/zoom functionality,” In Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP’12), ACM, New York, NY, USA, Article 41, 1-8.  
 

Abstract Presented at Conferences:

Kumar Mridul, M. Ramanathan, Kunal Ahirwar, Mansi Sharma, “Multi-user Augmented Reality Application for Video Communication in Virtual Space,” arXiv:1909.09529, 2019. 

Abstract Presented at ELFI 2019, European Light Field Imaging Workshop, Borovets, Bulgaria, European Training Network on Full Parallax Imaging (Leading European Scientific Event)

Ph.D. Dissertation:

Uncalibrated Camera Based Content Generation for 3D Multi-view Displays

Author: Mansi Sharma, Dept. of Electrical Engineering (Computer Technology), Indian Institute of Technology Delhi, 2017, Series/Report no.: TH-5223

Book Chapters:

Aditya Sanjiv Kanade∗, Mansi Sharma∗, Muniyandi Manivannan, “Virtual Reality, Robotics & Artificial Intelligence: An Integrated Technological Interventions in Stroke Rehabilitation”, Pandey, Rajiv and Amrit Gupta, and Agnivesh Pandey, eds., The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications. Hershey, PA: IGI Global, 2022, DOI: 10.4018/978-1-6684-3533-5.

Professional Activities:

Journal Editorial Board:

1.    Review Editor on the Editorial Board of Strengthening Rehabilitation in Health Systems (Since 2022) (specialty section of Frontiers in Rehabilitation Sciences)

2.    Editorial Board of Haptics (Since 2021)

-    Review Editor for Frontiers in Robotics and AI

-    Review Editor for Frontiers in Virtual Reality

3.    Editorial Board of Machine Learning and Artificial Intelligence (Since 2021)

-    Review Editor for Frontiers in Big Data

-    Review Editor for Frontiers in Artificial Intelligence

4.    Associate Editor for IJCISIM (Since 2019)

International Journal of Computer Information Systems and Industrial Management Applications, Machine Intelligence Research Labs (MIR Labs), Washington

Guest Editor:

Special Issue on Virtual Reality with Haptics in Medical Applications

Journal: Frontiers in Virtual Reality, Frontiers in Robotics and AI

 

Session Chair:

Data Analytics, Machine Learning and Intelligent Systems,

IEEE 8th International Conference on Reliability, Infocom Technologies & Optimization (ICRITO’2020)

Peer Reviewing Experience - Journals

∙ Signal Processing: Image Communication

∙ IEEE Signal Processing Letters

∙ IEEE Transactions on Image Processing

∙ IEEE Transactions on Multimedia

∙ IEEE MultiMedia

∙ Journal of Visual Communication and Image Representation

∙ Frontiers in Earth Science

∙ IEEE Transactions on Circuits and Systems for Video Technology

∙ IEEE Access

∙ IET Signal Processing

∙ IET Electronics Letters

∙ Electronics

∙ Virtual Reality (Springer)

∙ Frontiers in Virtual Reality

∙ Medical & Biological Engineering & Computing (Springer)

∙ Soft Computing (Springer)

∙ The Visual Computer (Springer)

∙ Journal of Image and Graphics

∙ Journal of Machine Vision and Applications (Springer)

∙ Neurocomputing (Elsevier)

∙ IETE Journal of Research

∙ IEEE Journal of Biomedical and Health Informatics

∙ Journal of Advances in Mathematics and Computer Science

∙ International Journal of Computers and Applications

∙ Nonlinear Engineering: Modeling and Application

Technical Program Committee Member/Reviewer:

ACM Multimedia, ACM I3D, IEEE ICASSP, IEEE ICIP, IEEE MLSP, IEEE ICVR, AAAI, IJCAI, 3DV, ACCV, IntelliSys, MVA, EURASIP, EUSIPCO, 3DRW-ICCV 2019, 3DRW-ECCV 2018, and others