Publications

Selected Research Publications -  Journals / International Conferences

Journals / International Conferences/Book Chapter

• G. Singh, K. Rana, P. Goyal and S. Kumar, "NVMS-Net: A Novel Constrained Noise-View Multiscale Network for Detecting General Image Processing Based Manipulations," in IEEE Transactions on Artificial Intelligence, vol. 6, no. 5, pp. 1233-1247, May 2025 (link)

• J. Dhar, N. Zaidi, M. Haghighat, A. Alavi, S. Roy and P. Goyal, "Enhanced Multimodal Fusion Learning with Dual Robust Information Fusion Attention for Medical Imaging Classification", WACV 2025. (Core A)

• J. Dhar, et al. "Dual-Phase Neural Networks for Feature Extraction and Ensemble Learning for Recognizing Human Health Activities", Applied Soft Computing, 2024, (IF 7.2) (link) 

• M. S. Kanroo, H.Kawoosa, K. Rana and P. Goyal, “ C3E: An Effective Approach For Automated Chart Classification and Chart Content Extraction”, Computers and Electrical Engineering, 2024 (IF 4.0)

• H. S. Kawoosa, M. S. Kanroo, K. Rana and P. Goyal, "Robust Page Object Detection Network for Heterogeneous Document Images," International Journal on Document Analysis and Recognition (IJDAR), Aug. 2024 (IF 1.8)

• M. S. Kanroo, H. S. Kawoosa, J. Dhar and P. Goyal, "PiExtract: An End-to-End Data Extraction pipeline for Pie-Charts," 27th International Conference on Pattern Recognition (ICPR), Kolkata, India, Dec. 2024

• J. Dhar, K. Rana and P. Goyal, "Uncertainty-RIFA-Net: Uncertainty Aware Robust Information Fusion Attention Network for Brain Tumors Classification in MRI Images", 27th International Conference on Pattern Recognition (ICPR), Kolkata, India, Dec. 2024

• J. Chauhan, P. L. Rosin, and P. Goyal, "BuRnSNet: Burn Region Segmentation Network From Color Images With Two-Way CNN", IEEE Intl. Conference on Image Processing (ICIP), Abu Dhabi, UAE, Oct 2024.

• V. Rathi, K. Rana and P. Goyal, "Iterative Spectral Correlation Based Multispectral Image Demosaicking," Signal, Image and Video Processing 2024 (IF 2.0)

• K. Rana, P. Goyal, and G. Sharma, “Dual-branch convolutional neural network for robust camera model identification,” Expert Systems with Applications, vol. 238, 2024 (IF: 8.5, H-Index: 249)

• K. Rana, V. Rathi and P. Goyal, "An Effective CNN-Based Method for Camera Model Identification in Privacy Preserving Settings," 2023 IEEE International Conference on Image Processing Challenges and Workshops (ICIPCW), Kuala Lumpur, Malaysia, 2023.

• M. Singh, M. Suhaib, H. Kawoosa and P. Goyal, “Towards accessible chart visualizations for the non-visuals: Research, applications and gaps”, Computer Science Review, vol. 48, 2023 (IF: 12.9, H-Index: 60)

• H. Kawoosa, M. Suhaib, and P. Goyal, “LYLAA: A Lightweight YOLO based Legend and Axis Analysis method for CHART-Infographics,” In 23rd ACM Symposium on Document Engineering 2023 (DocEng ’23), Limerick, Ireland, Aug. 2023.

• K. Rana, G. Singh, and P. Goyal, "SNRCN2: Steganalysis noise residuals based CNN for source social network identification of digital images", Pattern Recognition Letters, vol. 171, July 2023, (IF 5.1, H-index 170)

• K. Sharma, G.  Singh, and P. Goyal, "IPDCN2: Improvised Patch-based Deep CNN for facial retouching detection," Expert Systems with Applications vol. 211, pp.118612, 2023 (IF: 8.67, H-Index: 225)

• K. Rana, A. Pandey, P. Goyal, G. Singh, and P. Goyal, “A novel privacy protection approach with better human imperceptibility,” Applied Intelligence, 2023 vol. 53) (IF: 5.02, H-Index: 72)

• V. Rathi and P. Goyal, “Generic Multispectral Demosaicking using Spectral Correlation between Spectral Bands and Pseudo-Panchromatic Image”, Signal Processing: Image Communication, Volume 110 , Jan 2023, pp. 116893. (IF: 3.45 , H-Index 87).

• V. Rathi and P. Goyal, “Multidirectional Weighted Interpolation based Generic Demosaicking for Single-Sensor Multispectral Imaging Systems”, Digital Signal Processing, vol. 129, pp. 103646, 2022.  (IF: 2.92, H-Index 79)

• M. Singh, J. Chauhan, M. Suhaib, S. Verma, and P. Goyal, “IPCRF: An End-to-end Indian Paper Currency Recognition Framework for Blind and Visually Impaired People,” IEEE Access, Vol. 10, 2022 (IF: 3.48, H Index: 158)

• V. Rathi and P. Goyal, “Generic Multispectral Demosaicking Based on Directional Interpolation”, IEEE Access , vol. 10, pp. 64715-64728, 2022. ( IF: 3.48, H-Index: 158)

• K. Rana, G. Singh, and P. Goyal, “MSRD-CNN: Multi-Scale Residual Deep CNN for General-purpose Image Manipulation Detection,” IEEE Access, vol. 10, pp. 41267 - 41275, Apr 2022. (IF: 3.48, H Index: 158)

• H. Kawoosa, M. Singh, M. Joshi, and P. Goyal, "NCERT5K-IITRPR: A Benchmark Dataset for Non-Textual Component Detection in School Books", 15th IAPR International Workshop on Document Analysis System (DAS 2022), France, May 2022.

• G. Singh and P. Goyal, "SDCN2: A Shallow Densely connected CNN for multi-purpose image manipulation detection," ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM I.F. 3.144),  vol. 18, 2022 

• M. Singh and P. Goyal, "MDCADNet: Multi Dilated & Context Aggregated Dense Network for non-textual components classification in digital documents," Expert Systems with Applications (ESWA I.F. 6.95, h-index 207), Feb. 2022

• V. Rathi and P. Goyal, "Multispectral Image Demosaicking Based on Novel Spectrally Localized Average Images," IEEE Signal Processing Letters (IEEE SPL IF 3.109, H-index 138), vol. 29, pp. 449-453, 2022

• M. Gupta, V. Rathi and P. Goyal, "Adaptive and Progressive Multispectral Image Demosaicking,"  IEEE Transactions on Computational Imaging (IEEE TCI IF 3.49), vol. 8, pp. 69-80, 2022

• J. Chauhan and P. Goyal, "A Multi-path CNN for Automated Skin Lesion Segmentation", International Joint Conference on Neural Network (IJCNN  2021), July 2021. 

• G. Singh and P. Goyal, "GIMD-Net: An effective General-purpose Image Manipulation Detection Network, even under anti-forensic attacks", International Joint Conference on Neural Network  (IJCNN  2021), July 2021. 

• V. Rathi and P. Goyal, "Convolution Filter based Efficient Multispectral Image Demosaicking for Compact MSFAs", IAPR endorsed 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2021; 4:112-121. (Received Best Industrial Paper award)

• M. Singh and P. Goyal, "ChartSight: An Automated Scheme for Assisting Visually Impaired in Understanding Scientific Charts", IAPR endorsed 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2021; 5: 309-318.

• V. Rathi, M. Gupta, P. Goyal, "A New Progressive Approach based on Spectral Difference for Single-Sensor Multispectral Imaging System", IAPR endorsed 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2021; 4:329-336.

• V. Rathi, P. GoyaI, "Generic multispectral image demosaicking algorithm and new performance evaluation metric", 6th IAPR International Conference on Computer Vision & Image Processing, CVIP 2021, IIT Ropar.

• K. Sharma, G. Singh, and  P. GoyaI ,"Exploring the Role of Adversarial Attacks in Image Anti-forensics", 6th IAPR International Conference on Computer Vision & Image Processing, CVIP 2021, IIT Ropar.

• J. Chauhan and P. Goyal, "Convolution Neural Network for Effective Burn Region Segmentation of Color Images," Burns, 47 (4): 854-862, June 2021 (IF: 3.2 h-index 118)

• M. Singh and P. Goyal, "DeepDoT: Deep framework for detection of tables in document images", 5th IAPR International Conference on Computer Vision & Image Processing, CVIP 2020, IIIT Allahabad.

• J. Chauhan and P. Goyal, "BPBSAM: Body Part-specific Burn Severity Assessment Model," Burns, 46(6):1407-1423, Sep. 2020  (IF: 3.2 h-index 118)

• J. Chauhan and P. Goyal, " Deep Learning based fully automatic efficient Burn Severity Estimators for better Burn Diagnosis ," International Joint Conference on Neural Network (IJCNN), Glasgow, UK, 19-24 July, 2020. (Core A)

• K. Agrawal, J. Chauhan, Vamseedharan, and P.Goyal, "Information Technology in Burn Care," in Textbook of Plastic, Reconstructive, and Aesthetic Surgery, vol. 5, Thieme, 2020, pp. 697-714.  

• P. Goyal, M. Gupta, C. Staelin, M. Fischer, O. Shacham, and J. P. Allebach, "Clustered-Dot Halftoning With Direct Binary Search", IEEE Transactions on Image Processing (IEEE-TIP), vol. 22, pp. 473–487, 2013. (Impact factor: 10.85) (Accepted in first review itself. Reviewers rated the work as very novel and recommended favorably.)

• M Gupta, P Goyal, M Ram, "Multispectral image demosaicking using limited MSFA sensors", Nonlinear Studies, 2019.

• J. Chauhan, R. Goswami, and P. Goyal, "Using Deep Learning to Classify Burnt Body Part Images for Better Burn Diagnosis”, In proc. of SaMBa MICCAI, Granada, Spain, Sep 2018.

• D. Ulybyshev, S. Palacios, G. Mani, A. O. Alsalem, B. Bhargava, and P. Goyal, “On-the-fly Analytics over Encrypted Records in Untrusted V2X Environments”, Intl. Conference on Advanced in Computer , Electrical and Electronic Engineering, Zurich, Switzerland, 2018.

•  M. Gupta, J. Dosad, and P. Goyal, “Performance Analysis of Median Filter Demosaicking Algorithm Using New Extended Bilinear Demosaicking”, IAPR Intl. Conf. CVIP, IIT Roorkee, Sep.2017.

• P. Goyal and J. P. Allebach, “Print Quality Assessment for Stochastic Clustered-Dot Halftones Using Compactness Measures”, IEEE International Conference on Image Processing (ICIP), Phoenix, USA, Sep 2016.

• P. Goyal, M. Dwivedi, and M. Awais, “Use of Randomized Algorithms for Enhancing Learning Ability in Algorithms Course”, IEEE International Conference on MOOCs, Innovation in Education (MITE), 2014.

• N. Mamgain, A. Sharma, and P. Goyal, “Learner's Perspective on Video-viewing Features Offered by MOOC Providers: Coursera and edX”, IEEE International Conference on MOOCs, Innovation in Education, 2014.

• P. Goyal, N. Bansal, and N. Gupta, “Averting MITB attack using User specific personal images”, IEEE 3rd International Advance Computing Conference (IACC), Feb. 2013 (IEEE Xplore).

• P. Goyal, M. Gupta, C. Staelin, M. Fischer, O. Shacham, T. Kashti and J. P. Allebach, “Electro-Photographic Model based Stochastic Clustered-Dot Halftoning with Direct Binary Search”, IEEE International Conference on Image Processing (IEEE-ICIP), Sep 11-14, 2011, Brussels, Belgium.

• M. Gupta, P. Goyal, C. Staelin, M. Fischer, O. Shacham, and J. P. Allebach, “Stochastic Clustered dot screen design”, HP TechCon’ 11, April, 2011, Florida (HP TechCon is a very prestigious conference event; its acceptance rate about 10%).

Patents Granted/Filed

• “A demosaicing method for compact multispectral filter array (MSFAs) and a system thereof”, Indian Patent Application No. E-91/12313/2023/DEL (202111016200) (Filed in April 2021)

• “Secure Authentication using dynamic passcodes”, Indian Patent Granted 430469. (Filed in Canada also.)

• “A System and Method for Security Enhancement”, Indian Patent Granted 480811. Filed in USA and Canada also

• “Method & System for Enhancing a Digital Halftone Representation for Printing”, U.S. Patent 8537423

• “Clustered halftone generation”, U.S. Patent 8576448.