Peer Reviewed Journals (SCI Journals)

[15] K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed  "Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning”, Published in IEEE Access Volume 13, Pages 14922-14948, 2025- IEEE [IF = 3.47] 

[14] Anurag Dhote, Mohammed Javed, David S. Doermann,  "Swin-chart: An efficient approach for chart classification”, in Pattern Recognition Letters, Volume 185, Pages 203-209, 2024, Elsevier [IF = 3.9] 

[13] Iqra, Kaiser J. Giri, Mohammed Javed  "Small object detection in diverse application landscapes: a survey”, Volume 83 (41), Pages 88645-88680, 2024  Springer [IF = 3.6] 

[12] Bulla Rajesh, Sk Mahafuz Zaman, Mohammed Javed, Meng Lin  "DCT-CompSegNet: fast layout segmentation in DCT compressed JPEG document images using deep feature learning”, Published online January 22, 2024 in Multimedia Tools and Applications - Springer [IF = 3.6] 

[11] Tejasvee Bisen, Mohammed Javed, S Kirtania, P. Nagabhushan, “DWT-CompCNN: deep image classification network for high throughput JPEG 2000 compressed documents”, Pattern Analysis and Applications (PAA), Published Online on August 02, 2023. (Springer)  [ IF: 3.90 ]

[10] Tejasvee Bisen, Mohammed Javed, P. Nagabhushan, “Segmentation-Less Extraction of Text and Non-Text Regions From JPEG 2000 Compressed Document Images Through Partial and Intelligent Decompression ”, IEEE Access, Vol. 11,  Pages 20673-20687 , 2023. (IEEE)  [ IF: 3.476 ]

[09] Md Meraz, Md Afzal Ansari, Mohammed Javed, Pavan Chakraborty, “DC-GNN: drop channel graph neural network for object classification and part segmentation in the point cloud”, International Journal of Multimedia Information Retrieval (IJMIR), Vol. 11 (2) Pages 123-133, 2022. (Springer)  [ IF: 5.60 ]

[08] Bulla Rajesh, Mohammed Javed, P. Nagabhushan, "FastSS: Fast and Smooth Segmentation of JPEG Compressed Printed Text Documents using DC and AC Signal Analysis”, Published in Multimedia Tools and Applications - Springer [IF = 2.7] 

[07] Jatin Bindra, Savita Ahlawat, Mohammed Javed, "Modified COVID-19 Indian and International Dataset for Automatic Prediction of Risk in an Individual Using Machine Learning Models using a Mobile APP",  Special Issue on: Intelligent Computational Technologies For COVID-19 Prediction, IJIEI, Inderscience, 2021 [ESCI]

[06] Bulla Rajesh, Mohammed Javed, P. Nagabhushan, "Automatic Tracing and Extraction of Text-Line and Word Segments Directly in JPEG Compressed Document Images”, Published in IET Image Processing, Volume 14(9), Pages 1909-1919, 2020 [IF = 2.004] 

[05] Mohammed Javed, Tryambak Bhattacharjee, P. Nagabhushan, “ Enhancement of Variably Illuminated Document mages Through Noise Induced Stochastic Resonance”, Published in IET Image Processing, Volume 13(13), Pages 2562-2571, 2019 [IF = 2.004] 

[04] Amarnath R, Sindhushree G.S, P. Nagabhushan, and Mohammed Javed, "Automatic Localization and Extraction of Tables from  Handheld Mobile-Camera Captured Handwritten Document Images", Published in Journal of Intelligent & Fuzzy  Systems, Volume  36(03) Pages 2527-2544, 2019, (IOS Press)   [ IF = 1.637 )

[03] Mohammed Javed, P. Nagabhushan, and Bidyut B. Chaudhuri, Satish K. Singh “Edge Based Enhancement of Retinal Images Using and Efficient JPEG-Compressed Domain Technique”, Published in Journal of Intelligent & Fuzzy Systems, Volume 36(01) Pages 541-556, 2019. (IOS Press)  [IF: 1.637]

[02] Mohammed Javed, P. Nagabhushan, and Bidyut B. Chaudhuri, “A review on document image analysis techniques directly in the compressed domain”, Published in Journal of Artificial Intelligence Review,  Volume 50(4), Pages 539–568, 2018. (Springer)  [ IF: 12.0 ]

[01] Rachida Hannane, Abdessamad Elboushaki, Karim Afdel, P Nagabhushan, Mohammed Javed, “An Efficient Method for Video Short Boundary Detection and Key-frame Extraction using SIFT-Point Distribution Histogram”, International Journal of Multimedia Information Retrieval (IJMIR), Volume 5(2), Pages 89-104, 2016. (Springer)  [ IF: 5.60 ]

International Conferences

[40] MD Meraz, Md Afzal Ansari, Mohammed Javed, Pavan Chakraborty , “Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation ”, In LNCS Springer Proceedings of  ICPR 2024 pages 318-334, December 1-5, 2024, Kolkata, India

[39] Mohd Faiz Ansari, Rakshit Sandilya, Mohammed Javed, David S. Doermann, “ETLNet: An Efficient TCN-BiLSTM Network for Road Anomaly Detection Using Smartphone Sensors”, In LNCS Springer Proceedings of  ICPR 2024 pages 318-334, December 1-5, 2024, Kolkata, India

[38] Omar Moured, Shahid Ali Farooqui, Karin Müller, Sharifeh Fadaeijouybari, Thorsten Schwarz, Mohammed Javed, Rainer Stiefelhagen, “Alt4Blind: A User Interface to Simplify Charts Alt-Text Creation ”, In Springer ICCHP 2024 - International Conference on Computers Helping People with Special Needs,  Pages 291-298. July 8-12, 2024, Austria

[37] Bhavesh Kumar Bohra, Bulla Rajesh, Mohammed Javed, David S. Doermann, “Fire and Smoke Detection using an Enhanced YOLOv8 Model ”, In the IEEE Proceedings of CVMI,  October 19-20, 2024, IIIT Allahabad, India 

[36] Bulla Rajesh, Sk. Mahfuz Zaman, Mohammed Javed, P Nagabhushan, “CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents using Deep Feature Learning from JPEG Coefficients ”, In 7th IAPR Asian Conference on Pattern Recognition (ACPR 2023), November 5-8, 2023, Kitakyushu, Japan [in LNCS]

[35] Anurag Dhote, Mohammed Javed, David S Doermann, “A survey and approach to Chart Classification”, In 15th IAPR International Workshop on Graphics Recognition (GREC 2023)  at ICDAR 2023, August 21-26, 2023, San Jose, USA [To appear in LNCS - https://doi.org/10.1007/978-3-031-41498-5_5]

[34] Pankaj Saini, MD Meraz, Mohammed Javed “3D Object Detection in Point Cloud using Key Point Detection Network”, In Second International Conference on DATA ANALYTICS & LEARNING 2022 (DAL'22), December 30-31, 2022, Moodbidre, Mangalore

[33] Bulla Rajesh, Abhishek Kumar Gupta, Ayush Raj, Mohammed Javed, Shiv Ram Dubey “HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network” In Second International Conference on DATA ANALYTICS & LEARNING 2022 (DAL'22), December 30-31, 2022, Moodbidre, Mangalore

[32] Dikshit Sharma, Mohammed Javed, Bulla Rajesh, "OCR for TIFF Compressed Document Images Directly in Compressed Domain Using Text segmentation and Hidden Markov Model" to the 9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, 2022 (UPCON-2022)

[31] Bulla Rajesh, Nandakishore Dusa, Mohammed Javed, Shiv Ram Dubey, “T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network”, In the proceedings of 7th IAPR International Conference on Computer Vision & Image Processing (CVIP-2022) at the Visvesvaraya National Institute of Technology (VNIT) Nagpur, Maharashtra, INDIA 

[30] Bulla Rajesh, Manav Kamlesh Agrawal, Milan Bhuva, Kisalaya Kishore, Mohammed Javed, “Document Image Binarization in JPEG Compressed Domain using Dual Discriminator Generative Adversarial Networks”, International Conference on Computer Vision and Machine Intelligence (CVMI), August 11-12, 2022, India LNNS Springer 

[29] Rini Chandra, Mohammed Javed, Bulla Rajesh, Shahnawaz Khijmatgar, B. S. Sanjeev, “Target-less Drug Discovery Pipeline using Feature Driven Development (FDD) model”, in the proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021, pages 2651-2658, December 9-12, 2021, USA

[28] Ashutosh Singh, Mohammed Javed, Bulla Rajesh, “Deep Learning Based Image Segmentation Directly in the JPEG Compressed Domain” In IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Pages 1-6, November 11-13, 2021

[27] Md Afzal Ansari, Md Meraz, Pavan Chakraborty,  Mohammed Javed "Angle Based Learning in GNN for 3D Object Detection in Point Cloud Data", Accepted in MISP2021, NIT Arunachal Pradesh, September 23-25, 2021

[26] Shrikant Temburwar, Bulla Rajesh,  Mohammed Javed, "Deep Learning Based Image Retrieval in the JPEG Compressed Domain", In the Springer Proceedings of MISP2021, NIT Arunachal Pradesh, September 23-25, 2021

[25] Atul Tripathi, Bulla Rajesh,  Mohammed Javed "Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique", In the Springer proceedings of MISP2021, NIT Arunachal Pradesh, September 23-25, 2021

[24] Bulla Rajesh, Priyanshu Jain, Mohammed Javed, David Doermann ,"HH-CompWordNet: Holistic Handwritten Word Recognition in the Compressed Domain”, Accepted in  IEEE Data Compression Conference (DCC2021), March 23-26, 2021, UTAH, USA

[23] Naga Nikhil, MD Merz, Mohammed Javed ,”Automatic On-Road Object Detection in LiDAR-Point Cloud using Modified VoxelNet Architecture”, Fifth International Conference on Computer Vision & Image Processing (CVIP-2020) December 4-7, 2020, IIIT Allahabad, India

[22] Arul Prakash, MD Merz, Mohammed Javed ,”One Shot Learning Based Human Tracking in Multiple Surveillance Cameras”, Fifth International Conference on Computer Vision & Image Processing (CVIP-2020) December 4-7, 2020, IIIT Allahabad, India

[21] Bulla Rajesh, Mohammed Javed, P. Nagabhushan,"Segmentation of Text-Lines and Words from JPEG Compressed Printed Text Documents Using DCT Coefficients”, Published in  IEEE Data Compression Conference (DCC2020), Page 389, March 24-27, 2020

[20] Bulla Rajesh, Mohammed Javed, Ratnesh, Shubham Srivastava, " DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients", Published in IEEE CICT2019,  December 6-8, 2019,  IIIT Allahabad, India

[19] Bulla Rajesh, Mohammed Javed, P. Nagabhushan,"Segmentation of Printed Text-Lines Directly in JPEG Compressed Document Images", Published in IEEE Proceedings of GCCE2019, Pages 167-168, Osaka, Japan

[18] Narayana Sukumara, Mohammed Javed, D. K. Sreekantha, P. Nagabhushan, R Amarnath,"An  Experimental Study on the Effect of Noise in CCITT Group 4 Compressed Document Images", Accepted in International Conference on Artificial Intelligence and Data Engineering (AIDE2019), to appear in Springer Advances in Intelligent Systems and Computing (AISC), May 23-24, 2019.

[17] VB Aswin , Mohammed Javed, Parag Parihar, K Aswanth , CR Druval , Anpam Dagar, CV Aravinda, "NLP Driven Ensemble Based Automatic Subtitle Generation and Semantic Video Summarization  Technique", Accepted in  International Conference on Artificial Intelligence and Data Engineering (AIDE2019), to appear in Springer Advances in Intelligent Systems and Computing (AISC), May 23-24, 2019.

[16] D. K. Sreekantha, Rachana H K, Sripada G Mehandale, Mohammed Javed , KVSSSS Sairam "Expert System for Automated Prediction of Difficulties in Securing Airway in ICU and OT", Published in Springer LNICST, volume 276, Pages 124-141,  International Conference on Ubiquitous Communications and Network Computing (UBICNET-2019), February 8-10, 2019.

[15] Amarnath R, P. Nagabhushan and Mohammed Javed ,”Enabling Text-line Segmentation in Run-Length Encoded Handwritten Document Image using Entropy Driven Incremental Learning”, Third International Conference on Computer Vision & Image Processing (CVIP-2018) September 29-October 01, 2018.

[14] Tejas Nayak, Nikitha Bhat, Vikram Bhat, Sannidhi Shetty, Mohammed Javed, P Nagabhushan,  "Automatic Segmentation and Breast Density Estimation for Cancer Detection using an Efficient Watershed Algorithm", In the Proceedings of First International Conference on Data Analytics and Learning (DAL2018), Published in Springer-Lecture Notes in Networks and Systems, Volume 43, Pages 347-358, March 30-31, 2018, 

[13] Mohammed Javed, P. Nagabhushan, and Bidyut B. Chaudhuri, “Automatic Extraction of Text and Non- Text Information Directly from Compressed Document Images”, in the Proceedings of 15th International Conference on Hybrid Intelligent Systems (HIS2016), in Springer Series Advances in Intelligent Systems and Computing (AISC), Volume 552, Pages 38-46, November 21-23, 2016

[12] Mohammed Javed, P. Nagabhushan, and B.B. Chaudhuri, " Spotting of Keywords Directly in Run length Compressed Documents", in the Proceedings of Computer Vision and Image Processing        (CVIP2016), Volume 459, Pages 367-376, February 26-28, 2016

[11] Mohammed Javed, P. Nagabhushan, and B.B. Chaudhuri, “A Direct Approach for Word and   Character Segmentation in Run-Length Compressed Documents and its Application to Word Spotting”,          in the IEEE Proceedings of 13th International Conference on Document Analysis and Recognition (ICDAR2015), Pages 216-220, Nancy, France, 2015. 

[10] Mohammed Javed, P. Nagabhushan, and B.B. Chaudhuri, “Automatic Extraction of Correlation-Entropy Features directly from Run-length Compressed Documents” in the IEEE Proceedings of 13th International Conference on Document Analysis and Recognition (ICDAR2015), Pages 1-5, Nancy, France, 2015. 

[09] P. Nagabhushan, Mohammed Javed, B.B. Chaudhuri, "Entropy Computation of Document Images in Run-Length Compressed Domain", In Proceedings of the Fifth International Conference on Signal and Image Processing (ICSIP2013), Pages January 8-10, 2014.

[08] Mohammed Javed, P Nagabhushan, B B Chaudhuri, "Extraction of line-word-character segments directly from run-length compressed printed text-documents", In Proceedings of National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG2013), December 19-21, 2013. 

[07] Mohammed Javed, P. Nagabhushan, B.B. Chaudhuri, "Extraction of projection profile, run-histogram and entropy features straight from run-length compressed Text-Documents", In Proceedings of Second IAPR Asian Conference on Pattern Recognition (ACPR2013), Pages 813-817, November 5-8, 2013, 

[06] Amarnath R, P. Nagabhushan and Mohammed Javed, “Line Detection in Run-Length Encoded Document Images using Monotonically Increasing Graph Model”, In IEEE Proceedings of International Conference on Advances in Computing, Communications and Informatics (ICACCI2018), September 19-22, Pages 644-649, 2018. 

[05] Marwa Mohiddin and Mohammed Javed, "Enhancement of Mammographic Images in the DCT Compressed Domain", IEEE Sponsored ICCPCCT2018, 23-24 March, 2018.

[04] Mohammed Javed, P. Nagabhushan, B.B. Chaudhuri,"A comparative study of two recent word spotting techniques in the run-length compressed domain", IEEE 5th International Conference on Advances in Computing, Communications and Informatics (ICACCI2017), Pages 824-830, September 13-16, 2017. 

[03] Mohammed Javed, S.H. Krishnanand, P.. Nagabhushan, and Bidyut B. Chaudhuri, “Visualizing CCITT Group 3 and Group 4 TIFF Documents and Transforming to Run-Length Compressed Format Enabling Direct Processing in Compressed Domain”, In the Proceedings of International Conference on Computational Modelling and Security (CMS2016), Volume 85, Pages 213-221, February 11-16, 2016.

[02] Abdessamad Elboushaki, Rachida Hannane, P. Nagabhushan, Mohammed Javed, “Automatic Removal of Handwritten Annotations from Between-Text-Line and Inside Text-Line Annotations in Printed Text Documents”, published in the Proceedings of International Conference on Advanced Computing Technologies and Applications (ICACTA2016), Volume 45, Pages 205-214, March 25-26, 2016.

[01] Abdessamad Elboushaki, Rachida Hannane, P Nagabhushan, Mohammed Javed, “Automatic Removal of Marginal Annotations in Printed Text Document”, published in the Proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA2014), Pages 123-131, 2014.

Invited Reputed Doctoral Symposiums

[02] Mohammed Javed, P. Nagabhushan, and B.B. Chaudhuri, " Direct Processing in Run-Length Compressed Text-Document Images", 2014 Ninth ICVGIP Doctoral Symposium, December 15-17, Indian Institute of Science (IISc) Bangalore, India

[01]  Mohammed Javed, P. Nagabhushan, and B.B. Chaudhuri, "Direct Processing of Document Images in Compressed Domain", 2014 Fourth IDRBT Doctoral Colloquium, IDRBT Campus (Established by Reserve Bank of India ), December 11-12, Hyderabad, India