Dr. Poornima B V

Areas of Interest

No areas of interest listed.

Ph.D. Supervision

No research supervision details available.

Awards / Grants

No awards or grants details available.

Journal

• [1] Poornima B V and Srinath S, “A Comprehensive Review on Indian Sign Language Recognition System using Vision based Approaches”, January 2023, International Journal of Computer Applications 184(43):52-58. DOI: 10.5120/ijca2023922548.
• [2] Poornima B V, Srinath S, Rashmi S, Rakshitha R, “Performance evaluation of feature fusion approaches for ISL recognition system”, November 2023, Indian Journal of Science and Technology, 16(41):3691-3703 DOI: 10.17485/IJST/v16i41.1767, (Web of science Indexed).
• [3] Poornima B V and Srinath S, “Frequency and Spatial Domain-Based Approaches for Recognition of Indian Sign Language Gestures”, February 2024, Indian Journal of Science and Technology 17(7):660-669, DOI 10.17485/IJST/v17i7.2836, (Web of science Indexed).
• [4] Poornima B V and Srinath S, “Indian Sign Language recognition using CNN with Spatial pyramid and Global average pooling”, January 2024, Indian Journal of Computer Science and Engineering, (Q4).
• [5] Poornima B V and Srinath S, “Enhancing Indian Sign Language Recognition in Diverse Backgrounds: An Attention based Approach using Vision Transformers”, (Accepted in Scopus indexed Q3 journal, International journal of robotics and automation, ACTA Press).
• [6] Poornima B V, Srinath S, Rakshitha R and Rashmi S, “Addressing Emergency Communication Challenges: Deep Learning Solutions for the Speech and Hearing-Impaired using 3DCNN, LSTM and TimeSformer”, (Accepted in Scopus indexed Q3 journal, Journal of computer science).
• [7] Rakshitha R, Srinath S, Rashmi S and Poornima B V, “Enhancing Crack Pixel Segmentation: Comparative Assessment of Feature Combinations and Model Interpretability”, Journal of Infrastructure Preservation and Resilience, 2024 (Springer, Q2, Scopus indexed).
• [8] Rashmi S, Srinath S, Rakshitha R and Poornima B V, “Ensemble Learning Methods with Single and Multi-Model Deep Learning Approaches for Cephalometric Landmark Annotation”, Discover artificial intelligence, 2024 (Springer, Scopus indexed).
• [9] Rakshitha R, Srinath S, Rashmi S and Poornima B V, “Crack SAM: enhancing crack detection utilizing foundation models and Detectron2 architecture”, Journal of Infrastructure Preservation and Resilience, 2024. (Springer, Q2, Scopus indexed).
• [10] R Rakshitha, S Srinath, NV Kumar, S Rashmi, B V Poornima, “Integrated Pixel-Level Crack Detection and Quantification Using an Ensemble of Advanced U-Net Architectures”, Results in Engineering, 2024. (Elsevier, Q1, Scopus indexed).
• [11]Geethalakshmi V, Surya R, Mohammed Sinan and Poornima B V, “Visual Impairment assistance system”, Turkish journal of computer & mathematics education (Scopus Index), Volume 12, No.10 (2021), 294-300.
• [12]Poornima B V, Shoba Chandra K and Mudassira Tahneet, “Vehicle number plate reconstruction using blind restoration technique”, JETIR, May 2019, Volume 6, Issue 5.
• [13] Mumtaz, Poornima B V, Mudassira Tahneet, “An Efficient IOT based smart home automation system using arduino and sms”, JETIR May 2019, Volume 6, Issue 5.
• [14] Poornima B V and Padmanayana Bhat, “Prediction Based Channel Selection for Cognitive Radio Networks”, International Journal of Engineering Research and Applications (IJERA), ISSN: 2248- 9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp.772-776.
• [1] Poornima B V, Srinath S, Rashmi S and Rakshitha R, “ISL 2022: A novel dataset creation on Indian sign language gestures”, 10th International Conference on Signal Processing and Integrated Networks (SPIN 2023), 363- 366, Hosted by Amity University, Noida, Delhi-NCR, India, IEEE Explore(Scopus indexed).
• [2] Poornima B V, Srinath S, Rashmi S and Rakshitha R, “Recognition of Indian sign language alphanumeric gestures based on global features”, 2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), Hosted by Sahyadri college of engineering and management, Mangaluru, IEEE Explore (Scopus indexed).
• [3] Poornima B V, Srinath S, Rashmi S, Rakshitha R, “An integrated approach: combining contour matching and grabcut method for segmentation of hand gestures”, 8 th International conference on Computer vision and pattern recognition (CVIP-2023), Hosted by Indian Institute of Technology, IIT, Jammu, Springer-CCIS proceedings (Q3).
• [4] Rashmi S, Srinath S, Rakshitha R, Poornima B V, “Extended template matching method for region of interest extraction in cephalometric landmarks annotation”, IEEE 9th Uttar Pradesh section international conference on electrical, electronics and computer engineering (UPCON), Hosted by IIIT Allahabad, IEEE Explore (Scopus indexed).
• [5] Rakshitha R, Srinath S, Rashmi S and Poornima B V, “Automated Detection of Cracks in Asphalt pavement images using texture descriptors and Machine Learning classifier” , 8 th International conference on Computer vision and pattern recognition (CVIP-2023), Hosted by Indian Institute of Technology, IIT, Jammu, Springer-CCIS proceedings (Q3).
• [6] Rashmi S, Srinath S, Rakshitha R, Poornima B V, “ Comparative Analysis of Regression and Classification Approaches for Landmark Localization in Cephalometric Analysis”, 3rd International Conference on Intelligent Vision and Computing, Hosted by NIT, Agartala, Springer- Proceedings in Adaptation, Learning and Optimization’.
• [7] Poornima B V, Srinath S, Rashmi S, Rakshitha R, “Indian Sign Language Recognition in Complex Backgrounds: A Shifted Window Attention based Approach with Swin Transformers”, (9 th International conference on Computer vision and pattern recognition CVIP-2024, Hosted by IIITM, Kanchipuram, Chennai, Springer-CCIS proceedings).
• [8] Rashmi S, Srinath S, Rakshitha R, Poornima B V, “Deep Feature Extraction and Feature Map Explainability for Landmark Localization in Cephalometric Radiographs”, (9 th International conference on Computer vision and pattern recognition CVIP-2024, Hosted by IIITM, Kanchipuram, Chennai, Springer-CCIS proceedings).

Conference

• 10th International Conference on Signal Processing and Integrated Networks (SPIN 2023), 363- 366, Hosted by Amity University, Noida, Delhi-NCR, India
• 2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), Hosted by Sahyadri college of engineering and management, Mangaluru
• 8th International conference on Computer vision and pattern recognition (CVIP-2023), Hosted by Indian Institute of Technology, IIT, Jammu
• 9th International conference on Computer vision and pattern recognition CVIP-2024, Hosted by IIITM, Kanchipuram, Chennai

Book / Book Chapter

No book details available.

Attended

• 30 hours Online short-term course on “Mathematics and statistics for Machine Learning” organised by E & ICT Academy, NIT Warangal, during 22-11-2021 to 02-012-2021.
• 30 hours Online short-term course on “Machine Learning with Python for Beginners” organised by Department of CSE, NIT Warangal in association with Center for Continuing Education during 20-12-2021 to 03-01- 2022
• One week research development program on “Problem formulation, publication, proposal & thesis writing” from 7/02/2022 to 12/02/2022 organised by department of computer science and engineering, Alva’s institute of engineering and technology, Moodbidri in association with Indian institute of information technology, Allahabad(IIITA) and computer society of India (CSI).
• Recent trends in computational intelligence and analytics” from 17/01/2022 to 20/01/2022 organised by RV College of engineering, Bangalore
• The fifth one week self-sponsored short term course on “Advances in deep architectures for signal, image & vision applications (ADASIVA)” from 8th to 13th August, 2022 organized by computer vision & biometrics lab (CVBL), Department of Information technology, Indian Institute of Information Technology Allahabad, India
• One week national level workshop on “Data analytics and learning”, from 5th to 10th September 2022, organized by the department of information science and engineering, SJCE, JSS Science and Technology University, Mysuru.
• One week national level workshop on “Deep learning and its applications”, from 14th to 19th November 2022, organized by the department of computer applications, SJCE, JSS Science and Technology University, Mysuru.
• One week Serb karyashala high end workshop on “Explainable AI” organized by Department of computer applications, Cochin science and technology university, CUSAT, from Jan 16 th –Jan 22,2023.
• 2days workshop on “Medical image computation using deep learning” organized by the department of Instrumentation and applied physics at Indian Institute of Science, IISc, Bengaluru from Feb 24-25th 2023.
• 5days FDP on “Research Trends and opportunities in artificial intelligence and data science” organized by the department of information science and engineering, Sahyadri college of engineering and management, Mangaluru from March 27 to 31,2023.
• 5days workshop on “ Recent Advances in AI Research – Deep Learning and Explainable AI” organized by Department of computer applications, Cochin science and technology university, CUSAT, from April 24-28, 2023.
• One week Serb karyashala high end workshop on “Advanced Workshop on Deep Learning Applications for Imaging Systems” organized by Department of computer science at ABV-IIITM, Madhyapradesh, Gwalior from July 17th–July 23rd, 2023.
• 2 days’ workshop on “Artficial intelligence in precision medicine” organized by Dept. of Computational and Data Science, Indian Institute of Science, IISc, Bengaluru on 24-25 January 2024.

Organised

No FDP organised details available.