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Scopus Author ID: 56538411400

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Employment (2)

Pune Institute of Computer Technology: Pune, Maharashtra, IN

2021-01-01 to present | Assistant Professor (Electronics & Telecommunication Engg.)
Employment
Source: Self-asserted source
Bhakti Kadam

Vishwakarma Institute of Technology: Pune, Maharashtra, IN

2014-07-08 to 2020-05-31 | Assistant Professor (Electronics & Telecommunication Engg.)
Employment
Source: Self-asserted source
Bhakti Kadam

Education and qualifications (2)

Pune Institute of Computer Technology: Pune, Maharashtra, IN

B. E. (Electronics & Telecommunication Engg.)
Qualification
Source: Self-asserted source
Bhakti Kadam

College of Engineering Pune: Pune, Maharashtra, IN

M. Tech. (Electronics)
Qualification
Source: Self-asserted source
Bhakti Kadam

Works (10)

Leveraging 3D convolutional networks for effective video feature extraction in video summarization

Indonesian Journal of Electrical Engineering and Computer Science
2025-03-01 | Journal article
DOI: 10.11591/ijeecs.v37.i3.pp1616-1625
Contributors: Bhakti Deepak Kadam; Ashwini Mangesh Deshpande
Source: check_circle
Crossref

Query-Based Text Summarization: A Comparative Investigation and TextRank Implementation

Lecture Notes in Networks and Systems
2025-02-28 | Book chapter
DOI: 10.1007/978-981-97-8861-3_20
Part of ISBN: 9789819788606
Part of ISBN: 9789819788613
Part of ISSN: 2367-3370
Part of ISSN: 2367-3389
Contributors: Varad Unhale; Suyash Udchan; Mohak Shah; Bhakti D. Kadam
Source: Self-asserted source
Bhakti Kadam

Query-attentive video summarization: a comprehensive review

Multimedia Tools and Applications
2024 | Journal article
DOI: 10.1007/s11042-024-19977-0
EID:

2-s2.0-85200553376

Part of ISSN: 15737721 13807501
Contributors: Kadam, B.D.; Deshpande, A.M.
Source: Self-asserted source
Bhakti Kadam via Scopus - Elsevier
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Multi-head attention with reinforcement learning for supervised video summarization

Journal of Electronic Imaging
2024-09-05 | Journal article
DOI: 10.1117/1.jei.33.5.053010
Part of ISSN: 1017-9909
Contributors: Bhakti Deepak Kadam; Ashwini Mangesh Deshpande
Source: Self-asserted source
Bhakti Kadam

Summarizing Surveillance Videos through Automatic Human Activity Detection

2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA)
2024-08-23 | Conference proceedings
DOI: 10.1109/iccubea61740.2024.10775176
Contributors: Bhakti D. Kadam; Ashwini M. Deshpande; Ishita Rathod; Riddhi Zanwar; Gaurangi Rathi
Source: Self-asserted source
Bhakti Kadam

Video Activity Classification : A Comparative Analysis and Deep Learning Based Implementation

2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)
2024-06-28 | Conference proceedings
DOI: 10.1109/iciteics61368.2024.10625012
Contributors: Swanand Purkar; Shriwatsal Patil; Varun Kale; Bhakti D. Kadam
Source: Self-asserted source
Bhakti Kadam

A Comparative Investigation of Deep Feature Extraction Techniques for Video Summarization

Lecture Notes in Networks and Systems
2023 | Conference paper
DOI: 10.1007/978-981-99-0483-9_37
EID:

2-s2.0-85171374121

Part of ISBN: 9789819904822
Part of ISSN: 23673389 23673370
Contributors: Kadam, B.D.; Deshpande, A.M.
Source: Self-asserted source
Bhakti Kadam via Scopus - Elsevier

Comparative Study of Different Approaches to Inverse Kinematics

Communications in Computer and Information Science
2018 | Book chapter
DOI: 10.1007/978-981-13-1813-9_55
Part of ISBN: 9789811318122
Part of ISBN: 9789811318139
Part of ISSN: 1865-0929
Part of ISSN: 1865-0937
Source: Self-asserted source
Bhakti Kadam
grade
Preferred source (of 2)‎

Digital video watermarking based on dither modulation

2014 Annual IEEE India Conference (INDICON)
2014-12 | Conference paper
DOI: 10.1109/indicon.2014.7030675
Source: Self-asserted source
Bhakti Kadam
grade
Preferred source (of 2)‎

Digital Video Watermarking Based on Quantization Index Modulatio

International Journal of Multidisciplinary Educational Research
2014-03 | Journal article
Source: Self-asserted source
Bhakti Kadam
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