1 citations · 1 across the 4 of their papers we have counts for
4 papers
Self-Supervised Correspondence Estimation via Multiview Registration
Mohamed El Banani, Ignacio Rocco, David Novotny +4
Video provides us with the spatio-temporal consistency needed for visual learning. Recent approaches have utilized this signal to learn correspondence estimation from close-by fram…
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein +4
Obtaining photorealistic reconstructions of objects from sparse views is inherently ambiguous and can only be achieved by learning suitable reconstruction priors. Earlier works on…
BodyMap: Learning Full-Body Dense Correspondence Map
Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu +2
Dense correspondence between humans carries powerful semantic information that can be utilized to solve fundamental problems for full-body understanding such as in-the-wild surface…
Reconstructing and grounding narrated instructional videos in 3D
Dimitri Zhukov, Ignacio Rocco, Ivan Laptev +4
Narrated instructional videos often show and describe manipulations of similar objects, e.g., repairing a particular model of a car or laptop. In this work we aim to reconstruct su…