Ankit Shukla, Avinash Upadhyay, Swati Bhugra, Manoj Sharma, "Opinion unaware image quality assessment via adversarial convolutional variational auto-encoder on authentically distorted images" submitted in Winter Conference on Applications of Computer Vision WACV, 2023, Accepted, WAIKOLOA, HAWAII.

Ankit Shukla, Avinash Upadhyay, Manoj Sharma,V Chinnusamy, S Kumar, "High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping" has been accepted in 29th IEEE International Conference on Image Processing, ICIP 2022.

Aakash Saboo, Ankit Shukla, Manoj Sharma, "Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation" 32nd British Machine Vision Conference,2021, Online.

M. Sharma, A. Ray, A. Upadhyay, M. Makwana, "An End-to-End trainable framework for joint optimization of document enhancement and recognition", 2019 15th IAPR International Conference on Document Analysis and Recognition published in ICDAR 2019.

J. Wilson, A.K. Meher, B.V. Bindu, M. Sharma. "Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams under Concept Drift " Book Chapter Published in 31st NeurIPS 2018 competition track.

M. Sharma, A. Upadhyay, R. Mukhopadhyay, S. Chaudhury. ``NTIRE 2019 Challenge on Video Super-Resolution", Co-author of Team Paper 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition published in CVPR Proceedings, 2019.

M. Sharma, M. Makwana, A. Upadhyay, A. P. Singh, A. Trivedi, A. Saini, S. Chaudhury. ``NTIRE 2019 Challenge on Image Colorization", Co-author of Team Paper 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition published in CVPR Proceedings, 2019.

M. Sharma, A. Upadhyay, R. Mukhopadhyay, S. Chaudhury. ``2D-3D CNN based architectures for spectral reconstruction from RGB images", 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops  CVPR Proceedings, Utah, 2018, pp. 957-964.

M. Sharma, A. Upadhyay, R. Mukhopadhyay, S. Chaudhury. ``IRGUN : Improved Residue based Gradual Up-Scaling Network for Single Image Super Resolution", 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, CVPR Proceedings , Utah, 2018, pp. 947-956.

M. Sharma, A. Upadhyay, R. Mukhopadhyay, S. Chaudhury. ``NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images", Co-author of Team Paper 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Proceedings, Utah, 2018, pp. 1042-1051.

M. Sharma, A. Upadhyay, R. Mukhopadhyay, S. Chaudhury. ``NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results", Co-author of Team Paper 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Proceedings, Utah, 2018, pp. 965-976.

M. Sharma, A. Upadhyay, R. Mukhopadhyay, S. Chaudhury. ``2018 PIRM Challenge on Perceptual Image Super-resolution", Co-author of Team Paper 2018 European Conference on Computer Vision, ECCV Proceedings, Munich, 2018.

M. Sharma, A. Ray, S. Chaudhury and B. Lall. ``A Noise-Resilient Super-Resolution framework to boost OCR performance”, 2017 14th IAPR International Conference on Document Analysis and Recognition ICDAR, Kyoto, 2017, pp. 466-471.

M. Sharma, S. Chaudhury and B. Lall, ``Deep learning based frameworks for image super-resolution and noise-resilient super-resolution," 2017 International Joint Conference on Neural Networks, (IJCNN), Anchorage, AK, 2017, pp. 744-751.

Richa Sharma, Manoj Sharma, Ankit Shukla, Santanu Chaudhury "Conditional Deep 3D-Convolutional Generative Adversarial Nets for RGB-D Generation," Mathematical Problems in Engineering, vol. 2021, Article ID 8358314, 8 pages, 2021. SCIE

Neha Sharma, Manoj Sharma, Ritesh Vyas, Amit Singhal, Hasmat Malik "Recent Trends in EEG-Based Motor Imagery Signal Analysis and Recognition: A Comprehensive Review" in IEEE Access, vol. 11, pp. 80518-80542, 2023, doi: 10.1109/ACCESS.2023.3299497, IF 3.9, SCIE.

Ankit Shukla, Avinash Upadhyay, Manoj Sharma, "Deep learning based single image super-resolution: A comprehensive survey", Under Review in IEEE Transaction on AI. 

Neha Sharma, Avinash Upadhyay, Manoj Sharma, Amit Singhal, "DTR-MIR: Deep temporal networks for EEG based MIR" Accepted in scientific report nature (IF 5), SCI.

Neha Sharma, Ritesh Vyas, Manoj Sharma, Amit Singhal,  Hasmat Malik, "An efficient approach for recognition of MI EEG signals using Fourier decomposition method" under revision in IEEE Access, (IF 3.9), SCIE.

Ankit Shukla, Avinash Upadhyay, Manoj Sharma, "Comparative Analysis of Deep Learning-based RGB to Hyperspectral Reconstruction Algorithms and Their Applications in Remote Sensing", Under Journal of the Indian Society of Remote Sensing.

Shakti Sharma, Manoj Sharma," A Precise Approach for Recognizing Dynamic Air Writing Gestures in Devanagari Hindi Using Trimesh and PointNet" under revision in Computer vision and image computing, Science direct (IF 3.86), SCI.

Avinash Upadhyay, Ankit Shukla, Manoj Sharma" A comprehensive survey on infrared image generation" Submitted in TPAMI.

Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Hasmat Malik, "Joint Optimisation of Auto-encoder guided attention deep back projection network and transformer for document image enhancement and recognition", Submitted in IEEE Access (3.476), SCIE.

 Neha Sharma, Manoj Sharma, "A Robust EEG-Based BCI Framework For Motion Recognition Using Pretrained CNN With High-Resolution Transform", SIGMAA 2023.

Preeti Yadav, Ankit Shukla, Manoj Sharma, "MFLD-RSTF: Multi-Modal Face Anti-Spoofing with rPPG and Deep Spatio-Temporal Features", SIGMAA 2023.

Ankit Shukla, Avinash Upadhyay, Manoj Sharma "Joint Optimization of Autoencoder-guided Attention Deep Back Projection Network and Transformer for Document Image Enhancement and Recognition", SIGMAA 2023. 

Sudeep Rathore, Manoj Sharma, Ajay Yadav, "Zero-Shot Thermal Image Super-resolution using Convolutional Autoencoder Generative Adversarial Network (CAEGAN) ", SIGMAA 2023.

Keshav Kumar, Manoj Sharma, Rahul Mukherjee, "Transfer Learning based Comparative Analysis of Lung Disease Prediction ", SIGMAA 2023.

Keshav Kumar, Manoj Sharma, Rahul Mukherjee, "The Application of Machine Learning and Artificial Intelligence Technologies in the Healthcare Industry: A Review ", SIGMAA 2023.

Sudeep Rathore, Avinash Upadhyay, Ankit Shukla, Manoj Sharma, "Cross-Domain Image Translation and Feature Extraction for Large FoV Aerial Crop NIR Image Creation" accepted in NCVPRIPG 2023.

Ankit Shukla, Avinash Upadhyay, Manoj Sharma,"RGB to Chlorophyll Fluorescence Image reconstruction of Maize for Plant Phenotyping" accepted in NCVPRIPG 2023.

Sudeep Rathore, Avinash Upadhyay, Manoj Sharma, and Ajay Yadav, "Cross-Domain Feature Extraction using CycleGAN for Large FoV Thermal Image creation" Accepted in CVIP 2023, IIT Jammu

Neha Sharma, Dr. Manoj Sharma, Dr. Amit Singhal, "Feature extraction for motor imagery signals using the Fourier decomposition method to boost recognition performance" Accepted in (BCIPECH-2022).

M Muvva, M Muvva, M Sharma, R Mukherjee, A Yadav, "Border Management Using Internet of Things" has been accepted in 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS).

Kalagara Chaitanya Kumar, Aryan Lala, Ritesh Vyas, Manoj Sharma “Improved periocular recognition through blend of handcrafted and deep features”, has been accepted in CVIP-2021.

Ankit Shukla, Manoj Sharma, "Auto-Encoder Guided Attention based Network forHyperspectral Recovery from Real RGB Images" has been accepted in PReMI 2021.

M. Sharma, P. Mukherjee, M. Makwana, A.P. Singh, A. Trivedi, A. Upadhyay, B. Lall, S. Chaudhury. ``DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks", https://arxiv.org/abs/1904.01215.or has been accepted in PReMI 2021.

Kalagara Chaitanya Kumar, Aryan Lala, Ritesh Vyas, Manoj Sharma “Periocular recognition via effective textural descriptor”, 7th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON 2020), to be organized by MNNIT Allahabad, Prayagraj.

M. Sharma, M. Makwana, A. P. Singh, A. Upadhyay, S. Chaudhury "Gradually growing Residual and self-Attention based Dense Deep Back Projection Network for Large Scale Super-Resolution of Image" published in PReMI-2019.

M. Sharma, R. Mukhopadhyay, S. Chaudhury and B. Lall. ``An End-to-End Deep Learning Framework for Super-Resolution based Inpainting”, 2017 National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics \textbf{(NCVPRIPG)}, IIT-mandi, 2017, pp. 198-208.

M. Sharma, S. Chaudhury and B. Lall. ``Space-Time Super-Resolution using Deep Learning based Framework”, 2017 International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2017, pp. 582-590.

M. Sharma, S. Chaudhury and B. Lall, ``Sparse representation based classifier to assess video quality," 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Patna, pp. 1-4.

M. Sharma, R. Nath, ``Multiple sub-filter using variable step size and partial update for acoustic echo cancellation," Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on, Melaka, 2012, pp. 261-265.

M. Sharma, M. Shukla and A. Kaul, ``Image hiding using unitary similarity transformation," Image Information Processing (ICIIP), 2011, Himachal Pradesh, 2011, pp. 1-4.