In open source project governance, there has been a lot of concern about...
3D neural networks are widely used in real-world applications (e.g., AR/...
Numerous task-specific variants of conditional generative adversarial
ne...
Self-driving cars need to understand 3D scenes efficiently and accuratel...
The performance of generative adversarial networks (GANs) heavily
deteri...
Feature warping is a core technique in optical flow estimation; however,...
We present recursive cascaded networks, a general architecture that enab...
3D medical image registration is of great clinical importance. However,
...
We characterize the class of group-strategyproof mechanisms for single
f...