Search Results for author: Shubh Maheshwari

Found 3 papers, 2 papers with code

Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation

no code implementations28 Nov 2022 Sai Shashank Kalakonda, Shubh Maheshwari, Ravi Kiran Sarvadevabhatla

We show that utilizing these detailed descriptions instead of the original action phrases leads to better alignment of text and motion spaces.

Action Generation

MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion

1 code implementation21 Oct 2021 Shubh Maheshwari, Debtanu Gupta, Ravi Kiran Sarvadevabhatla

We introduce MUGL, a novel deep neural model for large-scale, diverse generation of single and multi-person pose-based action sequences with locomotion.

Action Generation

Quo Vadis, Skeleton Action Recognition ?

1 code implementation4 Jul 2020 Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal, Shubh Maheshwari, Neel Trivedi, Sourav Das, Ravi Kiran Sarvadevabhatla

To study skeleton-action recognition in the wild, we introduce Skeletics-152, a curated and 3-D pose-annotated subset of RGB videos sourced from Kinetics-700, a large-scale action dataset.

Action Recognition Benchmarking +1

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