Apple Workshop on Privacy-Preserving Machine Learning 2025: Tukey Depth Mechanisms for Practical Private Mean Estimation
AuthorsGavin Brown (University of Washington)
Apple Workshop on Privacy-Preserving Machine Learning 2025: Tukey Depth Mechanisms for Practical Private Mean Estimation
AuthorsGavin Brown (University of Washington)
Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures
May 8, 2026research area Computer Vision
We propose HeadsUp, a scalable feed-forward method for reconstructing high-quality 3D Gaussian heads from large-scale multi-camera setups. Our method employs an efficient encoder-decoder architecture that compresses input views into a compact latent representation. This latent representation is then decoded into a set of UV-parameterized 3D Gaussians anchored to a neutral head template. This UV representation decouples the number of 3D Gaussians…
What Matters in Practical Learned Image Compression
May 7, 2026research area Computer Visionconference CVPR
One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human visual system. Despite this potential, a perceptual yet practical image codec is yet to be proposed. In this work, we aim to close this gap. We conduct a comprehensive study of the key modeling choices that govern the design of a practical learned image codec, jointly…