‪Neel Trivedi‬ - ‪Google Učenjak‬

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Soavtorji

Ravi Kiran SarvadevabhatlaAssistant Professor, Centre for Visual Information Technology, IIIT-Hyderabad, IndiaPreverjeni e-poštni naslov na iiit.ac.in
Pranay GuptaPhD student, Robotics Institute, Carnegie Mellon UniversityPreverjeni e-poštni naslov na andrew.cmu.edu
Shubh MaheshwariGraduate Researcher at UCSDPreverjeni e-poštni naslov na ucsd.edu

Neel Trivedi

Neel Trivedi

International Institute of Information Technology, Hyderabad

Preverjeni e-poštni naslov na research.iiit.ac.in

Computer Vision Machine Learning Deep Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	68	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	42	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	19	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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