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Shubh Maheshwari
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2020 – today
- 2025
- [c6]Sai Shashank Kalakonda, Shubh Maheshwari, Ravi Kiran Sarvadevabhatla:
Morag - Multi-Fusion Retrieval Augmented Generation for Human Motion. WACV 2025: 4564-4573 - 2024
- [i4]Sai Shashank Kalakonda, Shubh Maheshwari, Ravi Kiran Sarvadevabhatla:
MoRAG - Multi-Fusion Retrieval Augmented Generation for Human Motion. CoRR abs/2409.12140 (2024) - 2023
- [c5]Shubh Maheshwari, Rahul Narain
, Ramya Hebbalaguppe:
Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer. CVPR 2023: 12836-12846 - [c4]Sai Shashank Kalakonda, Shubh Maheshwari, Ravi Kiran Sarvadevabhatla
Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation. ICME 2023: 31-36 - [c3]Debtanu Gupta, Shubh Maheshwari, Sai Shashank Kalakonda, Manasvi Vaidyula, Ravi Kiran Sarvadevabhatla
DSAG: A Scalable Deep Framework for Action-Conditioned Multi-Actor Full Body Motion Synthesis. WACV 2023: 4289-4297 - 2022
- [c2]Shubh Maheshwari, Debtanu Gupta, Ravi Kiran Sarvadevabhatla
MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion. WACV 2022: 747-755 - [i3]Sai Shashank Kalakonda, Shubh Maheshwari, Ravi Kiran Sarvadevabhatla
Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Zero Shot Action Generation. CoRR abs/2211.15603 (2022) - 2021
- [j1]Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal, Shubh Maheshwari, Neel Trivedi, Sourav Das, Ravi Kiran Sarvadevabhatla
Quo Vadis, Skeleton Action Recognition? Int. J. Comput. Vis. 129(7): 2097-2112 (2021) - [i2]Shubh Maheshwari, Debtanu Gupta, Ravi Kiran Sarvadevabhatla:
MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion. CoRR abs/2110.11460 (2021) - 2020
- [i1]Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal, Shubh Maheshwari, Neel Trivedi, Sourav Das, Ravi Kiran Sarvadevabhatla:
Quo Vadis, Skeleton Action Recognition ? CoRR abs/2007.02072 (2020)
2010 – 2019
- 2017
- [c1]Akash Agrawall, Shubh Maheshwari, Projit Bandyopadhyay, Venkatesh Choppella:
Modelling and Mitigation of Cross-Origin Request Attacks on Federated Identity Management Using Cross Origin Request Policy. ICISS 2017: 263-282
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