1.6k citations · 2.7k across the 11 of their papers we have counts for
5 papers · 1 filter
Scale-wise Convolution for Image Restoration
Yuchen Fan, Jiahui Yu, Ding Liu +1
While scale-invariant modeling has substantially boosted the performance of visual recognition tasks, it remains largely under-explored in deep networks based image restoration. Na…
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
Jiahui Yu, Thomas Huang
We study how to set channel numbers in a neural network to achieve better accuracy under constrained resources (e.g., FLOPs, latency, memory footprint or model size). A simple and…
Universally Slimmable Networks and Improved Training Techniques
Jiahui Yu, Thomas Huang
Slimmable networks are a family of neural networks that can instantly adjust the runtime width. The width can be chosen from a predefined widths set to adaptively optimize accuracy…
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Yingzhen Yang, Jiahui Yu, Nebojsa Jojic +2
We present a novel method of compression of deep Convolutional Neural Networks (CNNs) by weight sharing through a new representation of convolutional filters. The proposed method r…
Foreground-aware Image Inpainting
Wei Xiong, Jiahui Yu, Zhe Lin +4
Existing image inpainting methods typically fill holes by borrowing information from surrounding pixels. They often produce unsatisfactory results when the holes overlap with or to…