225 citations · 580 across the 19 of their papers we have counts for
42 papers
Probabilistic Shape Completion by Estimating Canonical Factors with Hierarchical VAE
Wen Jiang, Kostas Daniilidis
We propose a novel method for 3D shape completion from a partial observation of a point cloud. Existing methods either operate on a global latent code, which limits the expressiven…
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism
Jiahui Lei, Kostas Daniilidis
While neural representations for static 3D shapes are widely studied, representations for deformable surfaces are limited to be template-dependent or lack efficiency. We introduce…
Probabilistic Modeling for Human Mesh Recovery
Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman +1
This paper focuses on the problem of 3D human reconstruction from 2D evidence. Although this is an inherently ambiguous problem, the majority of recent works avoid the uncertainty…
Deformable Linear Object Prediction Using Locally Linear Latent Dynamics
Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari +1
We propose a framework for deformable linear object prediction. Prediction of deformable objects (e.g., rope) is challenging due to their non-linear dynamics and infinite-dimension…
Learning Portrait Style Representations
Sadat Shaik, Bernadette Bucher, Nephele Agrafiotis +3
Style analysis of artwork in computer vision predominantly focuses on achieving results in target image generation through optimizing understanding of low level style characteristi…
Joint Estimation of Image Representations and their Lie Invariants
Christine Allen-Blanchette, Kostas Daniilidis
Images encode both the state of the world and its content. The former is useful for tasks such as planning and control, and the latter for classification. The automatic extraction…