Canonical Capsules: Unsupervised Capsules in Canonical Pose
Weiwei Sun*, Andrea Tagliasacchi*, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey Hinton, Kwang Moo Yi
NeurIPS, 2021
project page | paper | code | bibtex

Learning canonical coordinate frames for 3D point clouds and alignments from a random coordinate frame to this frame without supervision.

Revisiting 3D Object Detection From an Egocentric Perspective
Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas Funkhouser, Yin Zhou, Dragomir Anguelov
NeurIPS, 2021
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Measuring 3D object detection egocentrically via Support Distance Error (SDE) and representing object by star-shaped polygons (StarPoly).

NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
Xiuming Zhang, Pratul Srinivasan, Boyang Deng, Paul Debevec, William T. Freeman, Jonathan T. Barron
SIGGRAPH Asia, 2021
project page | paper | video | bibtex

Recovering NeRF-like models of the intrinsics of a scene from a fixed-lighting multi-image capture, by placing priors on illumination and materials.

NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
Pratul Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron
CVPR, 2021
project page | paper | video | bibtex

Approximately shading each point in a scene volume using reflectance and visibility fields, leading to a relightable 3D scene learned from images.

Offboard 3D Object Detection from Point Cloud Sequences
Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
CVPR, 2021
paper | blog post | bibtex

Proposing a high quality offboard 3D object detection pipeline using point cloud sequence data.