activity
20122020
most citedLearning Compositional Radiance Fields of Dynamic Human Heads

11 citations · 21 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV202011 cited

Learning Compositional Radiance Fields of Dynamic Human Heads

Ziyan Wang, Timur Bagautdinov, Stephen Lombardi +4

Photorealistic rendering of dynamic humans is an important ability for telepresence systems, virtual shopping, synthetic data generation, and more. Recently, neural rendering metho…

cs.CV2020

Batteries, camera, action! Learning a semantic control space for expressive robot cinematography

Rogerio Bonatti, Arthur Bucker, Sebastian Scherer +2

Aerial vehicles are revolutionizing the way film-makers can capture shots of actors by composing novel aerial and dynamic viewpoints. However, despite great advancements in autonom…

cs.CV2020

MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video

Donglai Xiang, Fabian Prada, Chenglei Wu +1

We present a method to capture temporally coherent dynamic clothing deformation from a monocular RGB video input. In contrast to the existing literature, our method does not requir…

cs.CY20193 cited

Content Generation for Workforce Training

Holly Rushmeier, Kapil Chalil Madathil, Jessica Hodgins +4

Efficient workforce training is needed in today's world in which technology is continually changing the nature of work. Students need to be prepared to enter the workforce. Employe…

cs.CL20127 cited

Semantic Understanding of Professional Soccer Commentaries

Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi +1

This paper presents a novel approach to the problem of semantic parsing via learning the correspondences between complex sentences and rich sets of events. Our main intuition is th…