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Education and qualifications (3)

Delhi Technological University: New Delhi, IN

2021-01-13 to present | PhD (ECE)
Education
Source: Self-asserted source
Neha Sharma

Delhi Technological University: North West Delhi, DELHI, IN

2017-08-01 to 2019-07-31 | Masters of Technology (Electronics and Communication Engineering)
Education
Source: Self-asserted source
Neha Sharma

Indira Gandhi Delhi Technical University for Women: Delhi, Delhi, IN

2013-08-01 to 2017-07-31 | Bachelor of Technology (Electronics and Communication Engineering)
Education
Source: Self-asserted source
Neha Sharma

Works (7)

Predicting pedestrian intentions with multimodal IntentFormer: A Co-learning approach

Pattern Recognition
2025-05 | Journal article
Contributors: Neha Sharma; Chhavi Dhiman; Sreedevi Indu
Source: check_circle
Crossref

Visual–Motion–Interaction-Guided Pedestrian Intention Prediction Framework

IEEE Sensors Journal
2023-11-15 | Journal article
Part of ISSN: 1530-437X
Part of ISSN: 1558-1748
Part of ISSN: 2379-9153
Contributors: Neha Sharma; Chhavi Dhiman; S. Indu
Source: Self-asserted source
Neha Sharma

Assessment of 3D mesh watermarking techniques

Journal of Digital Forensics, Security and Law
2022 | Journal article
Part of ISSN: 1558-7223
Contributors: Neha Sharma; Jeebananda Panda
Source: Self-asserted source
Neha Sharma

Intelligent Pedestrian Intention Prediction Framework

2022 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)
2022-12-02 | Conference paper
Contributors: Neha Sharma; Chhavi Dhiman; S. Indu
Source: Self-asserted source
Neha Sharma

Pedestrian Intention Prediction for Autonomous Vehicles: A Comprehensive Survey

Neurocomputing
2022-10 | Journal article
Part of ISSN: 0925-2312
Contributors: Neha Sharma; Chhavi Dhiman; S. Indu
Source: Self-asserted source
Neha Sharma

A Deep Unified Pedestrian Detection Framework

2022 IEEE Delhi Section Conference (DELCON)
2022-02-11 | Conference paper
Contributors: Neha Sharma; S. Indu; Chhavi Dhiman
Source: Self-asserted source
Neha Sharma

Statistical watermarking approach for 3D mesh using local curvature estimation

IET Information Security
2020 | Journal article
EID:

2-s2.0-85093871831

Part of ISSN: 17518717 17518709
Contributors: Sharma, N.; Panda, J.
Source: Self-asserted source
Neha Sharma via Scopus - Elsevier
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Peer review (2 reviews for 1 publication/grant)

Review activity for iScience. (2)