Conferences

2025

• D. Golhar, N. M. Joshi, and M. V. Joshi, “Modified Variational Auto-Encoder (MVAE): Use of Training Data Statistics ,” in 10th International Conference on Computer Vision and Image Processing (CVIP 2025), IIT Ropar (Accepted)

• Pooja Garg, Sukuruti Shah, Sagar Joshi, Aadarsh Gupta, Manjunath V Joshi, Ahlad Kumar, Vinay S Palaparthy, "Multi-Sensor System for Optimum Irrigation and Plant Disease Detection Using Multilayer Perceptron Model on Mango Plant", in IEEE SAS 2025. (Accepted).

• Pooja Garg, Manjunath V Joshi, Ahlad Kumar, Vinay S Palaparthy, "IoT Sensor System Feature Ablation Study for Robust Anthracnose Disease Classification in Syzygium cumini Plants Using Machine Learning", in IEEE SAS 2025, (Accepted)

• Krishna Veer Singh, Dhiraj Golhar, and M. V. Joshi, “Super-Resolution Using Dual-Stage Generative Adversarial Network (DS-GAN) and IGMRF Prior"  IJCNN - 2025, Rome, June 30 - July 5, 2025 (Accepted)

• Bhavin Makwana, Manjunath Joshi and Jaideep Mulhelkar,  Quantum Speed Up for Non-Maximum Suppression in Object 

     Detection,  Theory of Quantum Computation, Communication and Cryptography (TQC-2025),  15-19, September, IISc, Bengaluru.

2024

• H Tyagi, MV Joshi, M Bandyopadhyay, and M Bhuyan,  Plasma Density estimation using Machine Learning for High power Ion Source, 9th International Symposium on Negative Ions, Beams and Sources, 19th – 22nd November 2024, Gandhinagar Gujarat https://www.ipr.res.in/NIBS24/documents/book_of_abstracts.html

• H Tyagi, MV Joshi and  M Bandyopadhyay, Assessment of signal reconstruction techniques for critical signals in high power negative ion based plasma sources,  9th International Symposium on Negative Ions, Beams and Sources, 19th – 22nd November 2024, Gandhinagar Gujarat https://www.ipr.res.in/NIBS24/documents/book_of_abstracts.html

• Prashant Gohel and Manjunath Joshi, “Hierarchical Quantum Classification” in International Conference on “Emerging Trends and Technologies on Intelligent Systems" (ETTIS-2024),  Centre For Development of Advanced Computing (CDAC, Govt. of India), Noida, India,  27 - 28, March , 2024. 

• D. Golhar, N. M. Joshi, and M. V. Joshi, “Generative Adversarial Network: Use of Non-IID Samples,” in 37th Canadian Conference on Artificial Intelligence AI (Canadian AI 2024), Guelph, Ontario, 27-31, May 2024

2023

•  S. Shivam, J. Rohan, B. Shruti, and M. V. Joshi, “Robust Adversarial Defense: Use of Auto-Inpainting,” in 20th International Conference on Computer Analysis of Images and Patterns, Limassol, Cyprus: Springer, 2023.

• Prashant Gohel and Manjunath Joshi, “Quantum Time Series Forecasting” in 16th International Conference on Machine Vision (ICMV 2023), Yerevan, Armenia: SPIE, 2023

2022

•  J. Shah and M. V. Joshi, “Classification of Imbalanced Bioassay Data With Features Learned Using Stacked Autoencoder,” in 15th International Conference on Machine Vision (ICMV 2022), Rome, Italy: SPIE, 2022.

2021

• Kamal  Captain and Manjunath Joshi,  "'Exploiting Space and Antenna Diversity for Wideband Spectrum Sensing", in The 13th International Conference on COMmunication Systems & NETworkS (COMSNETS 2019), Bangalore, India, 5- 9 Jan., 2021

• R. Nanavati and M. V. Joshi, “Black Box Attack on Speech Commands Classification Model,” in Proceedings of 64th International Midwest Symposium on Circuits and Systems (MWSCAS 2021), IEEE, Virtual, 2021.

• Sarathi Shah, M. V. Joshi: Document Language Classification: Hierarchical Model with Deep Learning Approach, 19th International Conference on Computer Analysis of Images and Patterns, CAIP (1) 2021: 372-381 

2020

• Jignesh Patel, Manjunath Joshi and Jignesh Bhatt, "A Novel Approach for Hyperspectral Image Super-resolution using Spectral Unmixing and Transfer Learning" , IEEE Geoscience and  Remote Sensing Symposium 2020 (IGARSS 2020), (Accepted)

• Jignesh Bhatt and Manjunath Joshi,  "Deep Learning in Hyperspectral Unmixing: A Review" , IEEE Geoscience and  Remote Sensing Symposium 2020 (IGARSS 2020), (Accepted)

2019

• Dhara Kotecha and Manjunath Joshi, "Document Image Binarization using U-Net", in 16th International Conference on Machine Vision and Applications (MVA2019) (IAPR sponsored),  Tokyo Japan, 27 - 31 May 2019

•  Kamal Captain and Manjunath Joshi,  "A PBNS based Detection Algorithm for Co-operative Wideband Spectrum Sensing", in IEEE  89th Vehicular Technology Conference (VTC 2019 - Spring), Kaula Lumpur Malaysia, 28 April – 01 May  2019. 

• Kamal  Captain and Manjunath Joshi,  "SNR Wall Under Different Scenarios for Cooperative Spectrum Sensing using GED", in The 11th International Conference on COMmunication Systems & NETworkS (COMSNETS 2019, Bangalore, India, 7- 11 Jan., 2019

2018

• Kamal  Captain and Manjunath Joshi, " SNR Wall for Cooperartive Spectrum sensing Using Generalized Energy Detector", in The 10th International Conference on COMmunication Systems & NETworkS (COMSNETS 2018), Bangalore, India, 3 - 7 Jan., 2018

  • Jignesh Patel,  Manjunath Joshi and Jignesh Bhat, " A Novel Approach for Abundance Estimation Using Discontinuity Preserving Prior", IEEE Geoscience and Remote Sensing Symposium 2018 (IGARSS 2018)  Valencia, Spain,  23-27, July 2018 

  • Sayeem Shaikh and Manjunath Joshi, "Recursive Network with Explicit Neighbor Connection for Image Captioning", Proceedings of Signal Processing and COMunicaion 2018 (SPCOM 2018)  Bengaluru, 16-19, July 2018 

• Jignesh Bhatt, Manjunath Joshi and Vijayshekhar S. S, "Multi-temopral Linear Unmixing: An iterative approach accounting for Abundance variations", 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Amsterdam, Netherlands, 23-26, September 2018

• Udit Srivstava and  M. V. Joshi, “Automated Multiclass Diagnosis of Diabetic Retinopathy using Hierarchical Learning,” in Proc. Eleventh Indian Conf. on Computer Vision, Graphics and Image Processing (ICVGIP 2018), Hyderabad, India, 18-22, Dec., 2018-Accepted).

2017

• • Shrishail Gajbar and Manjunath Joshi, "Design of Biorthogonal Wavelet Filters of DTCWT using Factorization of Halfband Polynomials",  National Conference on Computer Vision, Pattern recognition and Image Processing (NCVPRIPG 2017), IIT Mandi, India, December 16-19, 2017

  • Shaival Thakkar and Manjunath Joshi, "Classification of human actions using 3-D convolutional neural networks : A hierarchical approach",  National Conference on Computer Vision, Pattern recognition and Image Processing (NCVPRIPG 2017), IIT Mandi, India, December 16-19, 2017

  • Shrishail Gajbar and Manjunath Joshi, "Image Denoising using Almost Tight Frame Dual Tree Complex Wavelet Transform,"  International Conference on Machine Intelligence and Signal Processing (MISP 2017), IIT Indore, India,  December 22-24, 2017

• Manu Sharma, Jignesh Bhatt and Manjunath Joshi, “Early  Detection of Lung Cancer from CT images: Nodule Segmentation and Classification using Deep learning,” 10th International Conference on Machine Vision  (ICMV 2017) , Vienna, Austria,  November13-15, 2017.

  • Vaibhav Patel and Manjunath Joshi, “Convolutional Neural Network with Transfer Learning for Rice Type Classification,” 10th International Conference on Machine Vision  (ICMV 2017) , Vienna, Austria, November 13-15, 2017.

2016

• • Sonam Nahar and Manjunath Joshi, “Dense Disparity Estimation Based on Feature Matching and IGMRF Regularization,” in 23rd International Conference on Pattern Recognition (ICPR 2016),  Cancun, Mexico, 4-8 Dec., 2016.

  • Sonam Nahar and Manjunath Joshi, “A Regularization Framework for Stereo Matching using IGMRF Prior and Sparseness Learned from Autoencoder,” in 23rd IEEE International Conference on Image Processing (ICIP 2016),  Phoenix, Arizona, USA, 25-28 Sept., 2016.

  • Kamal Captain and Manjunath Joshi, “Square Law Selection Diversity for Wideband Spectrum Sensing Under Fading,” in IEEE 84th Vehicular Technology Conference (VTC 2016), Montréal, Canada, 18–21 September 2016.

  • Jignesh Bhatt and Manjunath Joshi, “Super-Resolution of Hyperspectral Imagery: Use of Unmixed Components,” in 37th Canadian Symposium on Remote Sensing (CSRS 2016), Winnipeg, MB, Canada, June 2016.

• • Kamal Captain and Manjunath Joshi, “Energy Detection Based Spectrum Sensing Over Fading Channel,” in The 8th International Conference on COMmunication Systems & NETworkS (COMSNETS 2016), Bangalore, India, 5-9 Jan., 2016.

2015

• • Shrishail Gajbhar and Manjunath Joshi, “Design of Biorthogonal Wavelet Filters of DT-CWT using Factorization of Halfband Polynomial,” in The Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2015), IIT Patna, India, 16-19 Dec., 2015.

  • Sonam Nahar and Manjunath Joshi, “A Learned Overcomplete Sparseness and IGMRF Based RegularizationFramework For Dense Disparity Estimation,” in 3rd Asian Conference on Pattern Recognition (ACPR-2015), Kaula Lampur, Malaysia, 3-6 Nov., 2015.

  • Kamal Captain and Manjunath Joshi, “Performance of Wideband Spectrum Sensing Under Fading Channel”, in 7th International Workshop on Signal Design and Its Applications in Communications (IWSDA 2015),  Bengaluru, India, 13-18 Sept., 2015. 

  • Milind Padalkar, Manjunath Joshi and Nilay Khatri , “Simultaneous Inpainting and Super-resolution Using Self-learning”, in 26th British Machine Vision Conference (BMVC-2015),  Swansea, UK, pp. 105.1-105.12, 7-10 Sept., 2015. [link]

  • Archit Jain, Manjunath Joshi and Asim Banerjee,  Image compression using DCT and Compressive Sensig Theory”, in  “8th International Conference on Advances in Pattern Recognition (ICAPR-2015),  Kolkata, India, 4-7 Jan, 2015.

2014

• • Shrishail Gajbhar and Manjunath V. Joshi , “Design of Extrafine Complex Directional Wavelet Transform and Application to Image Denoising”, in 16th International Workshop on Multimedia Signal Processing (MMSP-2014), Jakarta, Indonesia, pp. 1-6, 22-24 Sept, 2014. [link]

  • Kishor P. Upla, Manjunath V. Joshi and Prakash P. Gajjar, “Pan-sharpening: Use of Difference of Gaussians,” IEEE Geoscience and  Remote Sensing Symposium 2014 (IGARSS 2014), Quebec, Canada, 13 – 18 July, 2014.

  • Shrishail S. Gajbhar and Manjunath V. Joshi, “Novel Designs For Nonsubsampled Multiresolution Directional Filter Banks And An Extra Finer Directional Wavelet Transform", 2nd IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP’14), Xi'an, China, pp. 339 - 343, 9 – 13 July, 2014. [link]

  • Nilay Khatri and Manjunath V. Joshi , “A Faster and Smarter Self-learning from Single Image for Image Upsampling”, in 22nd International Conference on Computer Graphics, Visualization and Computer Vision 2014 (WSCG-2014), Plzen, Czech Republic, pp. 1 – 8, 2 - 5 June, 2014. [Results]  [link]

2013

• • Shrishail S. Gajbhar and Manjunath V. Joshi, “Image Denoising Using Redundant Finer Directional Wavelet Transform,” The fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), Jodhpur, India, 19 – 21 December, 2013. (Best Paper Award) [link]

• Sonam Nahar and Manjunath V. Joshi, “A Learning Based Approach for Dense Stereo Matching with IGMRF Prior,” The fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), Jodhpur, India, 19 – 21 December, 2013. [link]

  • Sharad Joshi, Kishor Upla and Manjunath V. Joshi, “Multi-resolution Image Fusion Using Multistage Guided Filter,” The fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), Jodhpur, India, 19 – 21 December, 2013. [link]

  • Kishor Upla, Prakash Gajjar and Manjunath V. Joshi, “Pan-sharpening Based On Non-subsampled Contourlet Transform Detail Extraction,” The fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), Jodhpur, India, 19 – 21 December, 2013. [link]

  • Raval, Mehul S., Joshi, M. V., Kher Shubhalaxmi, “Fuzzy Neural Based Copyright Protection Scheme for Superresolution”, in IEEE International Conference on Systems, Man and Cybernetics(SMC 2013), Manchester, UK, pp. 328 – 332, October 13-16, 2013. [link]

  • Milind G. Padalkar, Manali Vora, Manjunath V. Joshi, Mukesh A. Zaveri and Mehul S. Raval, “Identifying Vandalized Regions in Facial Images of Statues for Inpainting,” 2nd International Workshop on Multimedia for Cultural Heritage, ICIAP 2013, vol. 8158, ser. LNCS, pp. 208 – 217, Naples, Italy, 9thSeptember 2013. [link]

  • Manjunath V.  Joshi, Vaibhav B. Joshi and Mehul S. Raval, “Multilevel Semi-fragile Watermarking Technique for Improving Biometric Fingerprint System Security,” in Proc. Intelligent Interactive Technologies and Multimedia, ser. Communications in Computer and Information Science,IITM, Allahabad, vol. 276, pp. 272-283, 9 - 11 March, 2013. [link]

2012

• Naman Turakhia, Ruchin Shah and Manjunath Joshi , “Automatic Crack Detection in Heritage Site Images for Image Inpainting”, in Proc. Eighth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), no. 68, Mumbai, 16 - 19 December, 2012. [link]

  • Milind Padalkar, Mukesh Zaveri and Manjunath Joshi , “SVD Based Automatic Detection of Target Regions for Image Inpainting”, in Proc. ACCV Workshop on e-Heritage 2012 (ACCV-12), Daejeon, Korea, vol. 7729 pp. 61-71, 5-9 November, 2012. [link]

  • Nilay Khatri and Manjunath Joshi , “Image Super-Resolution: Use of Self-learning and Gabor Prior”, in Proc. Eleventh Asian Conference on Computer Vision (ACCV-12), Daejeon, Korea, vol. 7726, pp. 413-424, 5-9 November, 2012. [link]

  • Jignesh Bhatt, Manjunath Joshi and Mehul Raval, “A parametric statistical model over spectral space for the unmixing of imaging spectrometer data”, in Proc. SPIE Remote Sensing XVIII, Edinburgh, United Kingdom, vol. 8537, 24-27 September 2012. [link]

  • Harikumar, Manjunath Joshi and Mehul Raval, “Multiresolution image fusion using compressive sensing and graph cuts”, in Proc. SPIE Remote Sensing, Edinburgh, United Kingdom, 24-27 September 2012. [link]

  • Jignesh Bhatt, Manjunath Joshi and Mehul Raval, “A regularization based method for spectral unmixing of imaging spectrometer data”, in Proc. SPIE Remote Sensing XVIII, Edinburgh, United Kingdom, vol. 8537,  24-27 September 2012. [link]

  • Rakesh C. Patel and M. V. Joshi “Super-resolution of hyper-spectral images using compressive sensing” in ISPRS congress, Melbourne, Australia, August-September 2012. [link]

  • Rakesh C. Patel, Prakash P. Gajjar, Manjunath V. Joshi, Kishor P. Upla. “A model based approach to multiresolution fusion: Use of CS theory” in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, July 2012.

  • Milind Padalkar, Manjunath Joshi, Mukesh Zaveri and Chintan Parmar, “Exemplar based Image Inpainting using Autoregressive Parameter Estimation”, in Proc. of IEEE International Conference on Signal, Image and Video Processing, IIT Patna, India, pp. 154 - 160, Jan 2012. [link]

2011

• • Chintan Parmar, Manjunath V. Joshi, Mehul Raval, and Mukesh Zaveri, “Automatic inpainting for the facial images of monuments,” Proc. of Centenary Conference-Electrical Engineering, IISc Bangalore, pp. 415-420, Dec. 15-17, 2011. [link]

  • Kishor Upla, Manjunath Joshi, Prakash Gajjar and Asim Banerjee, “A Fast Approach for Edge Preserving Super-resolution” , in Proc. of IEEE International Conference on Multiledia & Expo, (ICME), Barcelona, Spain, pp. 1-6, July, 2011. [link]

2010

• • Prashant Garg, Mohit Maheshwari, Sammer Dubey, Manjunath Joshi, Asim Banerjee and Vijaykumar Chakka, “Alias Minimization of 1-D signals using DCT based Learning” in Proc. 53rd IEEE Int'l Midwest Symposium on Circuits & Systems (MWSCAS), Seattle, Washington, pp. 1121-1124, August, 2010. [link]

  • P. Gajjar and M. V. Joshi, “Zoom Based Super-resolution: A Fast Approach Using Particle Swarm Optimization”, International Conference of Image and Signal Processing (ICISP-2010, LNCS-Series), Trois-Rivières, Québec, Canada, pp. 63-70, June 30 - July 2, 2010. [link]

  • Manjunath Joshi, Abhishek Shripat, Pradipta Nanda, Subrahmanyam Ravishankar, and K. V. V. Murthy, “MAP-MRF estimation for multi-resolution fusion of remotely sensed images”, in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, Hawaii, USA, pp. 484-487, July 2010. [link]

  • Manjunath Joshi, Prakash Gajjar, Subrahmanyam Ravishankar, and K. V. V. Murthy, “Multiresolution fusion in remotely sensed images: Use of Gibbs prior and PSO optimization”, in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, Hawaii, USA, pp. 480-483, July 2010. [link]

2009

• • R. V. S. Krishna and M. V. Joshi, “Nonhomogeneous autoregressive model based prior for multiresolution fusion”, in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, pp. III-999 - III-1002, July 2009. [link]

2008

• • P. Gajjar and M. V. Joshi, “Image Super-Resolution Using a New Learning Technique and IGMRF Prior” in Proc. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP-08), Bhubaneswar, India, pp. 636 - 643, December 2008. [link]

  • Nikhil Khandelwal and Nitin Gupta and M. V. Joshi, “Image Restoration: Use of AR and IGMRF priors”, International Conference on Visualization, Imaging and Image Processing, Palma De Mallorca, Spain, September 2008. [link]

  • M. V. Joshi and A. Jalobeanu, ”Multiresolution Fusion in Remotely Sensed Images Using IGMRF Prior and MAP Estimation” in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Boston, Massachusetts, USA, pp. II-269 - II-272, July 2008. [link]

  • P. Gajjar and M. V. Joshi, “A Fast Approach to the Learning-based Super-Resolution Using Autoregressive Model Prior and Wavelet Prior,” in Proc. Fourteenth National Conf. on Communications, IIT Mumbai, India (NCC-08), pp. 229-233, Feb. 2008. [link]

  • Singh, P. Jaikumar, S. K. Mitra, M. V. Joshi and A. Banerjee, “Detection and Tracking of Objects in Low Contrast Conditions,” in Proc. National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), DAIICT Gandhinagar, India, Jan. 2008. [link]

2007

• • N. Manvani, S. Mitra and M. V. Joshi, “Spoken Language Identification for Indian Languages Using Split and Merge EM Algorithm,” in Proc. 2nd Int. Conf. on Patten Recognition and Machine Intelligence (PreMI-07), LNCS Series, ISI Kolkata, India, pp. 463-468, Dec. 2007. [link]

  • S. Sharma and M. V. Joshi , “A Practical Approach for Super-Resolution Using Photometric Cue and Graph cuts,'' in Proc. British Machine Vision Conf., University of Warwick, UK, pp. 83.1-83.10, Sep. 2007. [link]

  • P. Gajjar, M. V. Joshi, A. Banerjee and S. Mitra, “Decimation estimation and Linear Model Based Super-resolution Using Zoomed Observations,” in Proc. Third Iberian Conf. on Pattern Recognition and Image Analysis, LNCS Series, Girona, Spain, part I, pp. 314-321, June 2007. [link]

  • S. Sharma and M. V. Joshi, “Practical Approaches for the Estimation of High Resolution Depth Map and Intensity Field using Photometric cue,” in Proc. Thirteenth National Conf. on Communications (NCC-07), IIT Kanpur, India, Jan 2007. [link]

2006

• • P. Gajjar, M. V. Joshi, A. Banerjee and S. Mitra, “Decimation estimation and Super-Resolution Using Zoomed Observations,” in Proc. Fifth Indian Conf. on Computer Vision, Graphics and Image Processing (ICVGIP-06), LNCS 4338, Madurai, India, pp 45-57, Dec 2006. [link]

2004

• • M. V. Joshi and S. Chaudhuri,“Zoom-Based Super-Resolution through SAR Model Fitting,” in Proc. IEEE Int. Conf. on Image Processing (ICIP-04), Singapore, vol. 3, pp. 1775-1778, Oct. 2004. [link]

• M. V. Joshi and S. Chaudhuri, “Photometric Stereo Under Blurred Observations,” in Proc. IEEE Int. Conf. on Pattern Recognition (ICPR-04), Cambridge UK, vol. 3, pp. 169-172, Aug. 2004. [link]

2003

• • M. V. Joshi and S. Chaudhuri, “A Learning-Based Method for Image Super-Resolution from Zoomed Observations,” in Proc. Fifth Int. Conf. on Advances in Pattern Recognition (ICAPR-03), ISI Kolkata, India, pp. 179-182, Dec. 2003. [link]

2002

• • M.V. Joshi and S. Chaudhuri, “Super-Resolution Imaging: Use of Zoom as a Cue,” in Proc. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP-02), Ahmedabad, India, vol. 22, pp. 1185-1196, Dec. 2002. [link]