no code implementations • 10 Aug 2023 • Liang Shang, Yanli Liu, Zhengyang Lou, Shuxue Quan, Nagesh Adluru, Bochen Guan, William A. Sethares
Convolutional neural networks (CNNs) and vision transformers (ViTs) have achieved remarkable success in various vision tasks.
no code implementations • 25 May 2023 • Zhengyang Lou, Huan Xu, Fangzhou Mu, Yanli Liu, XiaoYu Zhang, Liang Shang, Jiang Li, Bochen Guan, Yin Li, Yu Hen Hu
Using a modern game engine, our approach renders crisp clean images and their precise depth maps, based on which high-quality hazy images can be synthesized for training dehazing models.
1 code implementation • 7 Jan 2022 • Tuan Dinh, Daewon Seo, Zhixu Du, Liang Shang, Kangwook Lee
Motivated by real-world scenarios with scarce labeled data, we focus on the input reprogramming approach and carefully analyze the existing algorithm.
no code implementations • 7 Jan 2022 • Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris Papailiopoulos, Kangwook Lee
Mixup is a data augmentation method that generates new data points by mixing a pair of input data.