Publications

Book Chapter:

  1. Prakash P. Gajjar, Manjunath Joshi and Kishor P. Upla. “Image Restoration: Fundamentals and Advances (Digital Imaging and Computer Vision)”. In: ed. by BahadirKursatGunturkand Xin Li. First. CRC press. Chap. Transform domain based learning for super-resolution restoration, pp. 175 –215, 201

  2. Chudasama V., Upla K. (2020) ISRGAN: Improved Super-Resolution Using Generative Adversarial Networks. In: Arai K., Kapoor S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-17795-9_9

Journal Publications:

  1. K. P. Upla, M. V. Joshi, and P. P. Gajjar. “An Edge Preserving Multiresolution Fusion: Use of Contourlet Transform and MRF Prior”. In: IEEE Transactions on Geoscience and Remote Sensing 53.6, pp. 3210–3220, May 2015.

  2. K. P. Upla, Sharad Joshi, M. V. Joshi, and P. P. Gajjar. “Multi-resolution Image Fusion using Edge Preserving Filters ”. J. Appl. Remote Sens. 9 (1), 096025 (2015); doi: 10.1117/1.JRS.9.096025.

  3. K. P. Upla, Manjunath V. Joshi, and Nilay Khatri." A regularized pan-sharpening approach based on self-similarity and Gabor prior",International Journal of Remote Sensing Vol. 38 , Iss. 4, January 2017

  4. Sharad Joshi, Kishor P. Upla, Nitin Khanna, "Consistent pan-sharpening based on multistage joint and dual bilateral filters," SPIE J. Appl. Remote Sens. 12(2), 026023 (2018), doi: 10.1117/1.JRS.12.026023.

  5. Chudasama, Vishal, and Kishor Upla. “E-ProSRNet: An enhanced progressive single image super-resolution approach.” Computer Vision and Image Understanding (2020): 103038, Nov 2020

    1. Patel Heena, Kishor P. Upla , “An Approach for Fusion of Thermal and Visible Images using Convolutional Neural Networks” SPIE Journal of Optical Engineering Vol. 60 No. 1 013104, Jan. 2021

  6. Chudasama, V., Upla, K. “RSRGAN: computationally efficient real-world single image super-resolution using generative adversarial network”. Machine Vision and Applications 32, 3 (2021). https://doi.org/10.1007/s00138-020-01135-9

  7. Chudasama Vishal and Kishor Upla, “E-ProSRGAN: A Computationally Efficient Progressive Approach for Single Image Super-Resolution using Generative Adversarial Network”, Special Section Paper: Perceptually Optimized Imaging Journal of Electronic Imaging

  8. Vishal Chudasama, Kartik Nighania, Kishor Upla, Kiran Raja, Raghavendra Ramachandra, Christoph Busch, “E-ComSupResNet: Enhanced Face Super-Resolution Through Compact Network”, Special Issue in IEEE Transactions on Biometrics, Behavior, and Identity (IEEE TBIOM), Early Access Article, 2020

Conference Publications:

  1. K. P. Upla, P. P. Gajjar, M. V. Joshi, A. Banerjee, and V. Singh. “A fast approach for edge preserving super-resolution”. In: IEEE InternationalConference on Multimedia and Expo (ICME), pp. 1–6, 2011.

  2. K. P. Upla, P. P. Gajjar, and M. V. Joshi. “Multiresolution fusion using contourlet transform based edge learning”. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 523–526, 2011.

  3. R. C. Patel, M. V. Joshi, and K. P. Upla. “A model based approach to multiresolution fusion: Use of CS theory (Invited)”. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012.

  4. K. P. Upla, P. P. Gajjar, and M. V. Joshi. “Pan-sharpening based on NonsubsampledContourlet Transform detail extraction”. In: Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), pp. 1–4, 2013.

  5. S. Joshi, K. P. Upla, and M. V. Joshi. “Multi-resolution image fusion using multistage guided filter”. In: Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), pp. 1–4, 2013.

  6. Sharad Joshi, K. P. Upla, and P. K. Shah. “Consistent pan-sharpening based onmultistage joint and dual bilateral filters”. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2522–2525, 2014.

  7. V. Patel and K. P. Upla. “Compressed Sensing based pansharpening technique with learned dictionary”. In: International Conference on Signal Propagation and Computer Technology (ICSPCT), pp. 201–204, 2014.

  8. K. P. Upla, M. V. Joshi, and P. P. Gajjar. “Pan-sharpening: Use of difference of Gaussians”. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4922–4925, 2014.

  9. K. P. Upla, S. Joshi, and M. C. Patel. “An edge preserving multi-resolution image fusion: Use of joint bilateral filter”. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2495–2498, 2014.

  10. Dhengre, N., K. P. Upla, and R. D. Trivedi. “Multimodal biomedical image fusion: Use of log-Gabor and guided filters with non-subsampled contourlet transform”. In: 2015 Third International Conference on Image Information

  11. Processing (ICIIP), pp. 6–11, December, 2015.

  12. Ishan Dave and KishorUpla, "Computer Aided Diagnosis of Malaria Disease for Thin and Thick Blood Smear Microscopic Images", 4th International Conference on Signal Processing and Integrated Networks, SPIN-2017, 2-3 February 2017

  13. Ishan Dave, VikashChaudhar and KishorUpla, "Automatic Visual Inspection of Printed Circuit Board for Defect Detection and Classification", 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET 2017), 22-24th March, 2017

  14. Jimit Mistry, Aashish K. Misraa, Meenu Agarwal, Ayushi Vyas, Vishal M. Chudasama, Kishor P. Upla, “An Automatic Detection of Helmeted and Non-helmeted Motorcyclist with License Plate Extraction using Convolutional Neural Network” seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017) to be held on November 28th to December 1st,in Montreal, Canada, 2017.

  15. Prashant Howal, KishorUpla and Mehul Patel, "HDL Implementation of Digital Filters Using Floating Point Vedic Multiplier, IEEE International Conference on Circuits and Systems (ICCS-2017) to be held during 20th and 21st Dec 2017.

  16. I. Dave, V. Chaudhary, K. P. Upla. “Simulation of Analytical Chemical Experiments onAugmented Reality Platform”, In: International Conference on Advanced Computing and ntelligent Engineering (ICACIE-2017), Springer

    1. Nikhil Dhengre, KishorUpla, Heena Patel, Vishal M. Chudasama, "Bio-medical Image usion Based on Phase-congruency and Guided Filter” Fourth International Conference on Image Information Processing (ICIIP -2017) December 21 -23, 2017 Jaypee University of Information Technology Waknaghat, District Solan, Near Shimla, Himachal Pradesh, INDIA

    2. Nikhil Dhengre, KishorUpla, Heena Patel, Vishal M. Chudasama, "Bio-medical Image Fusion Based on Phase-congruency and Guided Filter” Fourth International Conference on Image Information Processing (ICIIP -2017) December 21 -23, Jaypee University of Information Technology Waknaghat, District Solan, Near Shimla, Himachal Pradesh, INDIA,2017

    3. Rahul Kumar Gupta, Shreeja Lakhlani, Zahabiya Khedawala, Vishal Chudasama, and Kishor P. UplaA Deep Learning Paradigm for Automated Face Attendance, Workshop on Computer Vision Applications (WCVA) 2018, at ICVGIP 2018.

    4. V. Chudasama and K. Upla, A critical review of generative adversarial networks based on stability criteria, in International Joint Conferences on Advances in Engineering and Technology. McGraw-Hill, 2018, pp. 4854.

    5. Vishal M. Chudasama and Kishor P. Upla, “Progressive Approach to Single Image Super-Resolution using Generative Adversarial Network , Workshop on Computer Vision Applications (WCVA) 2018, at ICVGIP 2018.

    6. Heena Patel and Kishor P. Upla , AECNN: Autoencoder with Convolutional Neural Network for Hyperspectral Image Classification , Workshop on Computer Vision Applications (WCVA) 2018, at ICVGIP 2018.

    7. Rai, Aashish, Rashmi Karnani, Vishal Chudasama, and Kishor Upla. “An End-to-End Real- Time Face Identification and Attendance System using Convolutional Neural Networks.” In 2019 IEEE 16th India Council International Conference (INDICON), pp. 1-4, 2019.

    8. Chudasama, Vishal, Kalpesh Prajapati, and Kishor Upla. “Computationally efficient super-resolution approach for real-world images.” In National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, pp. 143-153. Springer, Singapore, 2019.

    9. Eranki, Vasu, Vishal Chudasama, and Kishor Upla. “Predicting the Time Left to Earthquake Using Deep Learning Models.” In International Conference on Information Management & Machine Intelligence, pp. 489-496. Springer, Singapore, 2019 (Awarded as Best Paper)

    10. Patel Heena, and Kishor P. Upla, "Night Vision Surveillance: Object Detection using Thermal and Visible Images", International Conference of Emerging Technology (INCET-2020)

    11. Vishal Chudasama and Kishor UplaImproved Single Image Super-Resolution using Generative Adversarial Networks , Computer Vision Conference (CVC) 2019

    12. Chudasama, Vishal, Heena Patel, Kalpesh Prajapati, Kishor P. Upla, Raghavendra Ramachandra, Kiran Raja, and Christoph Busch. "TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution Network." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 86-87. 2020 (Awarded as Best Paper)

    13. Patel Heena, Kalpesh Parajapati, Vishal Chudasama and Kishor P. Upla. "An Approach for Fusion of Thermal and Visible Images", 3rd international conference on Emerging Technology Trends in Electronics, Communication, and Networking-2020 (ET2ECN-2020)

    14. Kalpesh Prajapati, Vishal Chudasama, Kishor Upla, “A Light Weight Convolutional Neural Network for Single Image Super-Resolution”, Procedia Computer Science, Volume 171, 2020, Pages 139-147, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2020.04.015.

    15. Prajapati, Kalpesh, Vishal Chudasama, Heena Patel, Kishor Upla, Raghavendra Ramachandra, Kiran Raja, and Christoph Busch. ``Unsupervised single image super-resolution network (usisresnet) for real-world data using generative adversarial network." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 464-465. 2020

    16. Kalpesh Prajapati, Vishal Chudasama, Heena Patel, Kishor Upla, Raghavendra Ramachandra, Kiran Raja, Christoph Busch. ``Unsupervised Single Image Super-Resolution using Cycle Generative Adversarial Network", 3rd International Conference on Intelligent Technologies and Applications (INTAP), NTNU, Gjøvik, Norway, September 27-30, 2020

    17. Kalpesh Prajapati, Vishal Chudasama, Heena Patel, Kishor Upla, Raghavendra Ramachandra, Kiran Raja, Christoph Busch. ``Unsupervised Real-World Super-Resolution using Variational Autoencoder and Generative Adversarial Network" 25th International Conference on Pattern Recognition (ICPR 2020- Workshop)

    18. Rai, Aashish, Vishal Chudasama, Kishor Upla, Kiran Raja, Raghavendra Ramachandra, and Christoph Busch. "ComSupResNet: A Compact Super-Resolution Network for Low- Resolution Face Images." In 2020 8th International Workshop on Biometrics and Forensics (IWBF), pp. 1-6. IEEE, 2020.