4 papers
Group Equivariant Convolutional Networks for Pathloss Estimation
Ziyue Yang, Feng Liu, Yifei Jin +1
This paper presents RadioGUNet, a UNet-based deep learning framework for pathloss estimation in wireless communication. Unlike other frameworks, it leverages group equivariant conv…
Long-tailed Recognition with Model Rebalancing
Jiaan Luo, Feng Hong, Qiang Hu +3
Long-tailed recognition is ubiquitous and challenging in deep learning and even in the downstream finetuning of foundation models, since the skew class distribution generally preve…
Lossy Compression with Pretrained Diffusion Models
Jeremy Vonderfecht, Feng Liu
We apply the DiffC algorithm (Theis et al. 2022) to Stable Diffusion 1.5, 2.1, XL, and Flux-dev, and demonstrate that these pretrained models are remarkably capable lossy image com…
Predicting the Encoding Error of SIRENs
Jeremy Vonderfecht, Feng Liu
Implicit Neural Representations (INRs), which encode signals such as images, videos, and 3D shapes in the weights of neural networks, are becoming increasingly popular. Among their…