Neel Trivedi - Google Scholar

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	All	Since 2019
Citations	114	114
h-index	4	4
i10-index	3	3

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202020212022202320242 9 22 44 37

Co-authors

Ravi Kiran SarvadevabhatlaAssistant Professor, Centre for Visual Information Technology, IIIT-Hyderabad, IndiaVerified email at iiit.ac.in
Pranay GuptaPhD student, Robotics Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Shubh MaheshwariGraduate Researcher at UCSDVerified email at ucsd.edu

Neel Trivedi

Neel Trivedi

International Institute of Information Technology, Hyderabad

Verified email at research.iiit.ac.in

Computer Vision Machine Learning Deep Learning


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Quo vadis, skeleton action recognition? P Gupta, A Thatipelli, A Aggarwal, S Maheshwari, N Trivedi, S Das, ... International Journal of Computer Vision 129 (7), 2097-2112, 2021	62	2021
Psumnet: Unified modality part streams are all you need for efficient pose-based action recognition N Trivedi, RK Sarvadevabhatla European Conference on Computer Vision, 211-227, 2022	30	2022
NTU-X: an enhanced large-scale dataset for improving pose-based recognition of subtle human actions N Trivedi, A Thatipelli, RK Sarvadevabhatla Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics …, 2021	17	2021
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition. arXiv 2022 N Trivedi, RS Kiran arXiv preprint arXiv:2208.05775, 0	5
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition (Supplementary) N Trivedi, RK Sarvadevabhatla

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Articles 1–5