4 accepted papers
Understanding the motion of articulated mechanical assemblies from static geometry remains a core challenge in 3D perception and design automation. Prior work on everyday articulated objects such as doors and laptops typically assumes simplified kinematic structures or relies on joint annotations. H…
Temporal Action Segmentation (TAS) requires dividing videos into action segments, yet the vast space of activities and alternative breakdowns makes collecting comprehensive datasets infeasible. Existing methods remain limited to closed vocabularies and fixed label sets. In this work, we explore the …
Dynamic environments in factories, surgical robotics, and warehouses increasingly involve humans, machines, robots, and various other objects such as tools, fixtures, conveyors, and assemblies. In these environments, numerous interactions occur not just between humans and objects but also between ob
3D shape models are naturally parameterized using vertices and faces, i.e, composed on polygons forming a surface. However, current 3D learning paradigms for predictive and generative tasks using convolutional neural networks focus on a voxelized representation of the object. Lifting convolution ope…