Artificial intelligence, Machine Learning, Deep Learning, Image processing, Human-Computer Interaction, Robotics and Medical Imaging.
Research Details:
No. of patents: 1 Granted, 1 Published.
Project:
Funding Agency: Anusandhan National Research Foundation (ANRF)/Science and Engineering Research Board (SERB),Prime minister early research grant,(Duration: 3 years, Fund: approx. 30 Lakhs excluding institute overhead), Principle Investigator: Dr. Pratishtha Verma )
PUBLICATION:
1. Verma, Pratishtha, Srivastava, R., & Tripathy, S. K. (2025). An Assessment Towards 2D and 3D Human Pose Estimation and its Applications to Activity Recognition: A Review. SN Computer Science, 6(2), 190.
2. Maggu, J., Verma, Pratishtha, & Singh, R. (2024). Clustering Techniques for Hyperspectral Images Using Joint Analysis Dictionary Learning. SN Computer Science, 5(7), 1-13.
3. Verma, Pratishtha (2024, September). Biometric Identification using Periocular Images with ViT-DeepSort and YOLOv7-GAN. In 2024 7th International Conference on Contemporary Computing and Informatics (IC3I) (Vol. 7, pp. 1229-1234). IEEE.
4. Tripathy, S. K., Behera, C. K., Pandey, P. M., Pandey, V., & Verma, Pratishtha (2024, April). Spatially Attentive Scale Invariant Feature Modelling for Alzheimer’s Disease Detection. In 2024 IEEE 9th International Conference for Convergence in Technology (I2CT) (pp. 1-6). IEEE.
5. Pratishtha Verma and Rajeev Srivastava;Three stage deep network for 3D human pose reconstruction by exploiting spatial and temporal data via its 2D pose; Journal of Visual Communication and Image Representation (2020): 102866. [SCI, Elsvier]
6. Pratishtha Verma, Animesh Sah, and Rajeev Srivastava;Deep learning-based multi-modal approach using RGB and skeleton sequences for human activity recognition; Multimedia Systems (2020): 1-15.[SCI, Springer]
7. Pratishtha Verma, Rajeev Srivastava;Two stage multi view deep network for 3D Human Pose Reconstruction using images and its 2D joint heatmaps through enhanced stacked hourglass approach;, The Visual Computer (2021): 1-14. [SCI, springer]
8. Pratishtha Verma, Rajeev Srivastava;Reconsideration of multi-stage deep network for human pose estimation;, Computer methods in biomechanics and biomedical engineering: Imaging and visualization (2021): [SCI, Taylor and Francis]
9. Pratishtha Verma, Manminder Singh, Birmohan Singh, “Human Detection using Robust Feature Set of HOG and LBP with SVM”, International Journal of Advancements in Computing Technology (2017):1-9.
10. Pratishtha Verma, Amitesh Kumar, “Human Detection using Feature Fusion Set of LBP and HOG“ International Journal on Future Revolution in Computer Science & Communication Engineering (2017): 261-265.
11. Verma, Pratishtha, Vasu Aggrawal, and Jyoti Maggu;FExR. A-DCNN: Facial Emotion Recognition with Attention mechanism using Deep Convolution Neural Network; In Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, pp. 196-203. 2022.
12. Presented a paper titled “Detect and Estimate: Simple and Efficient baseline for Human Pose Estimation” in International Conference on “Artificial Intelligence and Speech Technology (AIST 2019) organized by Indira Gandhi Technical University for Women (IGDTUW), Delhi held on November 14-15, 2019.
13. J. Maggu, J. K. Saini and P. Verma, "FILM.LrTL: FusIng MuLtiFocus IMages using Low-rank Transform Learning; 2022 1st International Conference on Informatics (ICI), 2022, pp. 60-65, doi: 10.1109/ICI53355.2022.9786913.
Book chapter: 1(Published), 3(accepted to publish)
Verma, Pratishtha, Tripathi, G., & Singh, R. (2025). Empowering early detection: artificial intelligence as a tool for breast cancer diagnosis. In Revolutionizing Medical Systems using Artificial Intelligence (pp. 121-145). Academic Press.
No. of B.Tech Projects: 04 ( Supervised), 04 (on-going)
No. of M.Tech: 04 (On-going)
No. of Ph.D: Looking for PhD candidate.
Others: