Graphics and multimedia
VirtualCube
An Immersive 3D Video Communication System Yizhong Zhang (opens in new tab)*, Jiaolong Yang (opens in new tab)*, Zhen Liu, Ruicheng Wang, Guojun Chen, Xin Tong (opens in new tab), and Baining Guo (opens in…
Deep Contextual Video Compression
Unlocking new dimensions in image-generation research with Manifold Matching via Metric Learning
Generative image models offer a unique value by creating new images. Such images can be sharp super-resolution versions of existing images or even realistic-looking synthetic photographs. Generative Adversarial Networks (GANs) and their variants have demonstrated…
Fourier Feature Networks and Neural Volume Rendering
Fourier Feature Networks are an exciting new development in Computer Vision, and their use for modeling radiance fields has produced a range of impressive results at the meeting point of Computer Vision and Computer Graphics.…
Keynote: ReduNet: Deep (convolutional) networks from the principle of rate reduction
In this talk, we will offer an entirely white-box interpretation of deep (convolutional) networks from the perspective of data compression and group invariance. We’ll show how modern deep-layered architectures, linear (convolutional) operators and nonlinear activations,…
