no code implementations • 28 Dec 2023 • Cheng-En Wu, Azadeh Davoodi, Yu Hen Hu
This paper presents a novel approach to network pruning, targeting block pruning in deep neural networks for edge computing environments.
1 code implementation • ICCV 2023 • Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang
Vision-language models such as CLIP learn a generic text-image embedding from large-scale training data.
no code implementations • 26 May 2023 • Kyle Boone, Ben Wurster, Seth Thao, Yu Hen Hu
This project is centered around building a neural network that is able to recognize ASL letters in images, particularly within the scope of a live video feed.
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.
no code implementations • 2 Feb 2023 • Ji Qiu, Hongmei Shi, Yu Hen Hu, Zujun Yu
Frequent false alarms impede the promotion of unsupervised anomaly detection algorithms in industrial applications.
1 code implementation • 20 Jan 2022 • Cheng-En Wu, Farley Lai, Yu Hen Hu, Asim Kadav
Implementation-wise, CPR is complementary to pretext tasks and can be easily applied to previous work.
no code implementations • 8 Aug 2019 • Boyu Zhang, Azadeh Davoodi, Yu Hen Hu
The deployment of Convolutional Neural Networks (CNNs) on resource constrained platforms such as mobile devices and embedded systems has been greatly hindered by their high implementation cost, and thus motivated a lot research interest in compressing and accelerating trained CNN models.
no code implementations • 9 Nov 2018 • Wei Zeng, Azadeh Davoodi, Yu Hen Hu
Design rule check is a critical step in the physical design of integrated circuits to ensure manufacturability.