8 citations · 12 across the 6 of their papers we have counts for
5 papers · 1 filter
Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects
Le Zhang, Ao Li, Qibin Hou +2
Super-resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-q…
MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices
Hailong Yan, Ao Li, Xiangtao Zhang +4
Recent advancements in deep neural networks have driven significant progress in image enhancement (IE). However, deploying deep learning models on resource-constrained platforms, s…
WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network
Zhendong Liu, Le Zhang, Bing Li +3
We address the challenge of WiFi-based temporal activity detection and propose an efficient Dual Pyramid Network that integrates Temporal Signal Semantic Encoders and Local Sensiti…
Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations
Cheng Lei, Jie Fan, Xinran Li +4
Camouflaged Object Segmentation (COS) faces significant challenges due to the scarcity of annotated data, where meticulous pixel-level annotation is both labor-intensive and costly…
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network
Zhiwei Lin, Zhe Liu, Yongtao Wang +2
Perceiving the surrounding environment is a fundamental task in autonomous driving. To obtain highly accurate perception results, modern autonomous driving systems typically employ…