27 citations · 28 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…