· JOURNALS (SCI/SCIE)

[1] P. Khaire, P. Kumar, and J. Imran, “Combining CNN streams of RGB-D and skeletal data for human activity recognition,” Pattern Recognition Letters, vol. 115, pp. 107–116, 2018. DOI: 10.1016/j.patrec.2018.04.035.

[2] P. Khaire and P. Kumar, “RGB+D and deep learning-based real-time detection of suspicious event in Bank-ATMs,” Journal of Real-Time Image Processing, vol. 18, no. 5, pp. 1789–1801, 2021. DOI: 10.1007/s11554-021-01155-2.

[3] P. Khaire and P. Kumar, “A semi-supervised deep learning based video anomaly detection framework using RGB-D for surveillance of real-world critical environments,” Forensic Science International: Digital Investigation, vol. 40, Art. no. 301346, 2022.

[4] P. Khaire and P. Kumar, “Deep learning and RGB-D based human action, human-human and human-object interaction recognition: A survey,” Journal of Visual Communication and Image Representation, vol. 86, Art. no. 103531, 2022.

[5] P. Khaire and P. Kumar, “Online suspicious event detection in a constrained environment with RGB+D camera using multi-stream CNNs and SVM,” Multimedia Tools and Applications, vol. 81, no. 23, pp. 32857–32881, 2022.

[6] C. Morgan, P. Khaire, et al. “A multimodal dataset of real world mobility activities in Parkinson’s disease,” Scientific Data, vol. 10, no. 1, Art. no. 918, 2023. DOI: 10.1038/s41597-023-02663-5.

CONFERENCE / BOOK CHAPTERS(Scopus)

[1] P. Khaire, J. Imran, and P. Kumar, “Human activity recognition by fusion of RGB, depth, and skeletal data,” in Proc. 2nd Int. Conf. Computer Vision and Image Processing (CVIP), Advances in Intelligent Systems and Computing, vol. 703, Springer, 2018, pp. 409–421. DOI: 10.1007/978-981-10-7895-8_32. Indexed: Scopus. Institutional record reports 22 citations.

[2] A. Mayya, P. Khaire, and M. Zaki, “Domain-Specific EfficientNet-Transformer based Vision Language Model for Campus Navigation,” in 2025 IEEE Conference on Engineering Informatics (ICEI 2025), IIT Dharwad, India, 2025.

[3] P. A. Khaire and R. R. Kotkondawar, “Measures of image and video segmentation,” in Applied Video Processing in Surveillance and Monitoring Systems, IGI Global, 2016, pp. 28–53. DOI: 10.4018/978-1-5225-1022-2.ch002. Indexed: Scopus. Institutional record reports 4 citations.

Reviewer of Referred Journals

1. IEEE Transactions on Multimedia (SCIE)

2. Artificial Intelligence Review (SCIE)

3. IEEE Sensors (SCIE)

4. International Journal of Image and Graphics (Scopus)

5. Journal of Computational Methods in Sciences and Engineering (Scopus)