27 citations · 28 across the 6 of their papers we have counts for
6 papers
MechVerse: Evaluating Physical Motion Consistency in Video Generation Models
Rahul Jain, Mayank Patel, Asim Unmesh +1
Text- and image-conditioned video generation models have achieved strong visual fidelity and temporal coherence, but they often fail to generate motion governed by kinematic and ge…
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…
Agent based simulation of the evolution of society as an alternate maximization problem
Amartya Sanyal, Sanjana Garg, Asim Unmesh
Understanding the evolution of human society, as a complex adaptive system, is a task that has been looked upon from various angles. In this paper, we simulate an agent-based model…
SurfNet: Generating 3D shape surfaces using deep residual networks
Ayan Sinha, Asim Unmesh, Qixing Huang +1
3D shape models are naturally parameterized using vertices and faces, \ie, composed of polygons forming a surface. However, current 3D learning paradigms for predictive and generat…