List of Publications

Navjot Singh, Chandra Prakash Maurya, Bharat Mahaur, and Satish Kumar Singh, “Improved YOLOv11 with weights pruning for road object detection in rainy environment,” Signal, Image and Video Processing, doi: 10.1007/s11760-025-04070-2, 2025. [SCIE, IF – 2.0]

Sudeep Mondal, Subhadip Paul, Navjot Singh, Pankaj Warbal, Zartab Khanam, and Ratan K Saha, “Deep learning aided determination of the optimal number of detectors for photoacoustic tomography,” Biomedical Physics & Engineering Express, 2025. (Accepted) [ESCI, IF – 1.3]

Rupesh G, Navjot Singh, Tekumudi Divya, “DehazeDNet: Image Dehazing via Depth Evaluation,” Signal, Image and Video Processing, 18, 9387–9395 , 2024. [SCIE, IF – 2.0]

Sanchit, Navjot Singh and Jagpreet Singh, “Multi-Objective GA to schedule task graphs on heterogeneous voltage frequency islands,” Concurrency and Computation: Practice and Experience, 2024. (Accepted) [SCIE, IF – 1.5]

Debesh Kumar Shandilya, Spandan Roy and Navjot Singh, “Optimized RainDNet: an efficient image deraining method with enhanced perceptual quality,” Signal, Image and Video Processing, 18, 7131-7143, 2024. [SCIE, IF – 2.0]

Neetesh Kumar, Navjot Singh, Anuj Sachan and Rashmi Chaudhry, “SIoV Mobility Management using SDVN-enabled Traffic Light Cooperative Framework,” ACM Transactions on Cyber-Physical Systems, 8, 1-24, 2024. [Q1, IF – 2.3]

Sanchit, Anupam Jain, Navjot Singh and Jagpreet Singh, “Energy Efficient Heuristics to Schedule Task Graphs on Heterogeneous Voltage-Frequency Islands,” IETE Journal of Research, doi.org/10.1080/03772063.2024.2355657, 2024. [SCIE, IF – 1.3]

Navjot Singh, Paras Saini, Om Shubham, Rituraj Awasthi, Anurag Bharti and Neetesh Kumar, “Improved YOLOv5l for Vehicle Detection: An application to Estimating Traffic Density and Identifying Over speeding Vehicles on Highway scenes,” Multimedia Tools and Applications, 83, 5277-5307, 2024. [SCIE, IF – 3]

Sudeep Mondal, Subhadip Paul, Navjot Singh, and Ratan K. Saha, "Deep learning on photoacoustic tomography to remove image distortion due to inaccurate measurement of the scanning radius," Biomedical Optics Express, 14, 5817–5832, 2023. [SCIE, IF – 2.9]

Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal and Navjot Singh, “Semantic Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules,” Knowledge-Based Systems, 274, doi.org/10.1016/j.knosys.2023.110645,  2023. [SCI, IF – 7.2]

Sanchit, Navjot Singh and Jagpreet Singh, “Multiobjective Approach to Schedule DAG Tasks on Voltage frequency islands,” IEEE Access,  doi: 10.1109/ACCESS.2023.3266478, 2023. [SCIE, IF – 3.4]

 Bharat Mahaur, K. K. Mishra and Navjot Singh, “Improved Residual Network Based on Norm-Preservation for Visual Recognition,” Neural Networks, 157, 305-322, 2023. [SCIE, IF – 6]

Krishn Kumar, Navjot Singh, Akash Punhani, Sanjiv Kumar Bhatia, “Advanced Environmental Adaption Method,” Applied Intelligence, 53, 9068-9088, 2023. [SCI, IF – 3.4]

Ritesh Chandra, Sonali Agarwal, Navjot Singh, “Semantic sensor network ontology based decision support system for forest fire management,” Ecological Informatics, doi.org/10.1016/j.ecoinf.2022.101821, 2022. [SCIE, IF – 5.8] 

Aditya Mantri, Navjot Singh, Krishan Kumar and Sanjay Dahiya, “Pre-Encryption and Identification (PEI): An Anti-crypto ransomware technique,” IETE Journal of Research, Taylor & Francis, 69 (11), 8058-8066, 2023. [SCIE, IF – 1.3]

Bharat Mahaur, Navjot Singh and K. K. Mishra, “Road Object Detection: A Comparative Study of Deep Learning-based Algorithms,” Multimedia Tools and Applications, 81(10), 14247-14282 , 2022. [SCIE, IF – 3]

Sonia Vadhnani and Navjot Singh, “Brain Tumor Segmentation and Classification in MRI using SVM and its variants: A survey,” Multimedia Tools and Applications, 81, 31631-31656, 2022. [SCIE, IF – 3]

Navjot Singh, Garvit Gupta, Anubhav Singh, Anshul Kishore, Kumud Kumar and Deepak Bharti, “Removal of Spatial Inconsistencies in Automated Image Colorization Using Parameter-free Clustering and Convolutional Neural Networks,” Signal, Image and Video Processing, 16(4), 1011-1018, 2022. [SCIE, IF – 2.0]

Neetesh Kumar, Navjot Singh and D. P. Vidyarthi. “Artificial Lizard Search Optimization (ALSO): A Novel Nature Inspired Meta-heuristic Algorithm,” Soft Computing, 25, 6179- 6201, 2021. [SCIE, IF – 3.1]

Vivek Kumar Singh, Nitin Kumar and Navjot Singh, “A hybrid approach using color spatial variance and novel object position prior for salient object detection,” Multimedia Tools and Applications, 79, 30045–30067, 2020. [SCIE, IF – 3]

Shikhar Sharma, Krishan Kumar and Navjot Singh, “Deep Eigen Space Based ASL Recognition System,” IETE Journal of Research, Taylor & Francis, 68, 3798–3808, 2020. [SCIE, IF – 1.877]

Navjot Singh, "Saliency Threshold: a novel saliency detection model using Ising’s theory on Ferromagnetism (STIF)," Multimedia Systems, 26, 397–411, 2020. [SCI, IF – 3.5]

Anurag Pandey, Mayank Pandey, Navjot Singh and Abha Trivedi, “KUMBH MELA: a case study for dense crowd counting and modelling,” Multimedia Tools and Applications, 79, 17837–17858, 2020. [SCIE, IF – 3]

Navjot Singh, K. K. Mishra and Sanjiv Bhatia, “SEAM - an improved environmental adaptation method with real parameter coding for salient object detection,” Multimedia Tools and Applications,  79, 12995–13010, 2020. [SCIE, IF – 3]

Shiv Naresh Shivhare, Nitin Kumar and Navjot Singh, “A Hybrid of Active Contour Model and Convex Hull for Automated Brain Tumor Segmentation in Multimodal MRI,” Multimedia Tools and Applications, 78, 34207–34229, 2019. [SCIE, IF – 3]

Rinki Arya, R. K. Agrawal and Navjot Singh, “A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation,” Knowledge and Information Systems, 60, 327–361, 2019. [SCIE, IF – 2.5]

Navjot Singh, Rinki Arya and R. K. Agrawal, “Performance Enhancement of Salient Object Detection using Superpixel based Gaussian Mixture Model,” Multimedia Tools and Applications, 77 (7), 8511–8529, 2018. [SCIE, IF – 3]

Krishan Kumar, Deepti D. Shrimankar and Navjot Singh, “Eratosthenes Sieve based Key-frame Extraction Technique for Event Summarization in Videos,” Multimedia Tools and Applications, 77 (6), 7383-7404, 2018. [SCIE, IF – 3]

Rinki Arya, Navjot Singh and R. K. Agrawal, “A novel combination of second-order statistical features and segmentation using multi-layer superpixels for salient object detection,” Applied Intelligence, 46, 254-271, 2017. [SCI, IF – 3.4]

Navjot Singh, Rinki Arya and R. K. Agrawal, “A novel position prior using fusion of rule of thirds and image center for salient object detection,” Multimedia Tools and Applications, 76, 10521-10538, 2017. [SCIE, IF – 3]

Navjot Singh, Rinki Arya and R. K. Agrawal, “A Convex Hull approach in Conjunction with Gaussian Mixture Model for Salient Object Detection,” Digital Signal Processing, 55, 22-31, 2016. [SCI, IF – 5.3]

Rinki Arya, Navjot Singh and R. K. Agrawal, “A novel hybrid approach for salient object detection using local and global saliency in frequency domain,” Multimedia Tools and Applications, 75, 8267-8287, 2016. [SCIE, IF – 3]

Navjot Singh and R. K. Agrawal, “Combination of Kullback–Leibler divergence and Manhattan distance measures to detect salient objects,” Signal, Image and Video Processing, 9 (2), 427-435, 2015. [SCIE, IF – 2.0]

Navjot Singh, Rinki Arya and R. K. Agrawal, “A novel approach to combine features for salient object detection using constrained particle swarm optimization,” Pattern Recognition, 47 (4), 1731-1739, 2014. [SCI, IF – 7.5]

Trupthi Rao, Navjot Singh, Sonali Agarwal, “A Novel Post-hoc Explainable AI Method to unveil an Ensemble Black-box ML Model for Identification Friend or Foe in Military AI,” 16th International IEEE Conference on Computing, Communication and Networking Technologies (ICCCNT), July 6-11, 2025. h5-index: 38 (Accepted)

Praveen Saini, Navjot Singh, Anshu S. Anand, “AUIED3K: A New Andaman Underwater Image Enhancement Dataset for Deep Learning-Driven Image Enhancement with Minimum Loss Dehazing,” 50th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 6-11, 2025. Core-B h5-index: 129 (Accepted)

Raj Ahamed Shaik, Navjot Singh, Antony Verriboina, and Debesh Kumar Shandilya, “PSTNet: A Progressive Sparse Transformer Network for Image Deraining,” 27th International Conference on Pattern Recognition (ICPR), December 01-05, 2024. Core-B h5-index: 30

Pragati and Navjot Singh, “Lightening the Load: Lightweighting Multimodal Understanding for Visual Grounding Tasks,” 4th International Conference on Data Engineering and Communication Systems, March 22-23, 2024. (Best paper award)

Trupthi Rao, Sonali Agarwal and Navjot Singh, “An Empirical Evaluation of Shapley Additive Explanations: A Military Implication,” 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2023. h5-index: 16

Alok Negi, Krishan Kumar, Narendra S. Chaudhari, Navjot Singh, and Prachi Chauhan. "Predictive Analytics for Recognizing Human Activities Using Residual Network and Fine-Tuning," In International Conference on Big Data Analytics, Lecture Notes in Computer Science Springer, Cham, pp. 296-310, 2021. h5-index: 18

Aditya Mantri and Navjot Singh, “WebRTC  based Telehealth and Telecommunication,” In 4th International Conference on VLSI, Communication and Signal Processing (VCAS 2021), to be held during September 24-26, 2021. (Accepted)

Manas Abhilash Gundapuneni, Anzum Bano and Navjot Singh, “Enhanced Security Architecture for Visual Cryptography Based on Image Secret Sharing,” In 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), held during 28-31 October 2020, pp. 750-756, 2020. (Best presenter award to Manas Abhilash Gundapuneni) h5-index: 24

A Solanki, R Bamrara, K Kumar, Navjot Singh, “VEDL: a novel Video Event searching technique using Deep Learning,” In 3rd International Conference on Soft Computing: Theories and Applications, held during December 21-23, 2018, pp. 905-914. Springer, Singapore.

K Kumar, R Bamrara, P Gupta, Navjot Singh, “M2P2: Movie's trailer reviews-based Movie Popularity Prediction system,” In 3rd International Conference on Soft Computing: Theories and Applications, held during December 21-23, 2018, pp. 671-681. Springer, Singapore.

SN Shivhare, S Sharma and Navjot Singh, “An Efficient Brain Tumor Detection and Segmentation in MRI using Parameter-free Clustering,” In Machine intelligence and signal analysis, pp. 485-495. Springer, Singapore, 2019.

P Bhatt and Navjot Singh, “A novel Saliency Measure using Entropy and Rule of Thirds,” In Machine Intelligence and Signal Analysis, pp. 461-472. Springer, Singapore, 2019.

Krishan Kumar, Deepti Shrimankar and Navjot Singh, “Key-Lectures: Keyframes extraction in video Lectures,” In Machine Intelligence and Signal Analysis, pp. 453-459. Springer, Singapore, 2019. 

S Sharma, SN Shivhare, Navjot Singh and K Kumar, “Computationally efficient ANN model for Small Scale Problems,” In Machine Intelligence and Signal Analysis, pp. 423-435. Springer, Singapore, 2019.

G Singh, Navjot Singh and K Kumar, “PICS: a novel technique for video summarization,” In Machine Intelligence and Signal Analysis, pp. 411-421. Springer, Singapore, 2019.

A. Atrish, Navjot Singh and V Kumar, “Enhanced homography based sports image components analysis system,” In First International Conference on Artificial Intelligence and Cognitive Computing, pp. 495-505. Springer, Singapore, 2019.

Kumain, Sandeep Chand, Maheep Singh, Navjot Singh, and Krishan Kumar. "An efficient Gaussian Noise Reduction Technique For Noisy Images using optimized filter approach." In 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), pp. 243-248. IEEE, 2018. h5-index: 6

Krishan Kumar, Deepti D. Shrimankar, and Navjot Singh, “V-LESS: a Video from Linear Event SummarieS”, In Proceedings of 2nd International Conference on Computer Vision & Image Processing, pp. 385-395. Springer, Singapore, 2018. h5-index: 14

Krishan Kumar, Deepti D. Shrimankar and Navjot Singh, “SOMES: An efficient SOM technique for Event Summarization in multi-view surveillance videos,” In Recent Findings in Intelligent Computing Techniques, pp. 383-389. Springer, Singapore, 2018.

A. Atrish, Navjot Singh, Krishan Kumar, V. Kumar, “An Automated Hierarchical Framework for Player Recognition in Sports Image,” In Proceedings of the International Conference on Video and Image Processing, pp. 103-108. 2017. h5-index: 7

S Sharma, K Kumar and Navjot Singh, “D-FES: Deep Facial Expression recognition System,” In 2017 Conference on Information and Communication Technology (CICT), pp. 1-6. IEEE, 2017. h5-index: 18

Anurag Kumar, Navjot Singh, Piyush Kumar and Aditya Vijayvergia, “A novel Superpixel based Color Spatial feature for Salient Object Detection,” In 2017 Conference on Information and Communication Technology (CICT), pp. 1-5. IEEE, 2017. h5-index: 18

Krishan Kumar, Deepti Shrimankar and Navjot Singh, “Event BAGGING: A novel event summarization approach in multi-view surveillance videos,” In 2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC), pp. 106-111. IEEE, 2017.

Deepak Kumar Mishra and Navjot Singh, “Parameter free Clustering approach for Event Summarization in Videos,” In Proceedings of International Conference on Computer Vision and Image Processing, pp. 389-397. Springer, Singapore, 2017. h5-index: 14

Krishan Kumar, Deepti Shrimankar and Navjot Singh, “Equal Partition based Clustering approach for Event Summarization in Videos,” In 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 119-126. IEEE, 2016. h5-index: 18

Sakshi Aggarwal, Navjot Singh and K. K. Mishra, " Unrolling the COVID-19 Diagnostic Systems Driven by Deep Learning,” In Application of Deep Learning Methods in Healthcare and Medical Science, pp. 177-198, Apple Academic Press, 2023.

Sakshi Aggarwal, Navjot Singh and K. K. Mishra, "Hitting the Success Notes of Deep Learning," In Machine Learning Algorithms and Applications, pp. 77-98, Wiley, 2021.

Sakshi Aggarwal, Navjot Singh and K. K. Mishra. "Digital Image Analysis Is a Silver Bullet to COVID-19 Pandemic," In Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis, pp. 397-414. Springer, Singapore, 2020.