19 citations · 20 across the 6 of their papers we have counts for
6 papers
Exploring Vision-Language Models for Open-Vocabulary Zero-Shot Action Segmentation
Asim Unmesh, Kaki Ramesh, Mayank Patel +2
Temporal Action Segmentation (TAS) requires dividing videos into action segments, yet the vast space of activities and alternative breakdowns makes collecting comprehensive dataset…
DYNAMO: Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Prediction
Mayank Patel, Rahul Jain, Asim Unmesh +1
Understanding the motion of articulated mechanical assemblies from static geometry remains a core challenge in 3D perception and design automation. Prior work on everyday articulat…
Interactive authoring of outcome-oriented lesson plans for immersive Virtual Reality training
Ananya Ipsita, Ramesh Kaki, Mayank Patel +3
Immersive Virtual Reality (iVR) applications have shown immense potential for skill training and learning in manufacturing. However, authoring of such applications requires technic…
Virtual Reality in Manufacturing Education: A Scoping Review Indicating State-of-the-Art, Benefits, and Challenges Across Domains, Levels, and Entities
Ananya Ipsita, Ramesh Kaki, Ziyi Liu +9
To address the shortage of a skilled workforce in the U.S. manufacturing industry, immersive Virtual Reality (VR)-based training solutions hold promising potential. To effectively…
avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality
Dizhi Ma, Xiyun Hu, Jingyu Shi +5
Table tennis stroke training is a critical aspect of player development. We designed a new augmented reality (AR) system, avaTTAR, for table tennis stroke training. The system prov…
A Comparative Study of Garment Draping Techniques
Prerana Achar, Mayank Patel, Anushka Mulik +3
We present a comparison review that evaluates popular techniques for garment draping for 3D fashion design, virtual try-ons, and animations. A comparative study is performed betwee…