Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang Brostowĭynamic Fluid Surface Reconstruction Using Deep Neural Networkīoyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea TagliasacchiīSP-Net: Generating Compact Meshes via Binary Space Partitioning Jamie Watson, Michael Firman, Aron Monszpart, Gabriel J.
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldiįootprints and Free Space From a Single Color Image Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild Session: Oral 1.1A - 3D From a Single Image and Shape-From-X (1) Poster # In addition, the oral sessions' schedule below lists the recommended time to watch each pre-recorded oral video (videos will also be available for asynchronous viewing.) Presentation ScheduleĪll times are Pacific Daylight Time (Seattle time).
The authors are encouraged to be available online for both Q&A periods for live interaction with the audience. To accommodate a global audience, each oral and poster session consists of two interactive Q&A periods starting twelve hours apart and each lasting two hours.
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