Wu, Qingbo

Waterloo Exploration Database: New Challenges for Image Quality Assessment Models

Ma, K., Duanmu, Z., Wu, Q., Wang, Z., Yong, H., Li, H., & Zhang, L. (2017) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 789

Simultaneously Detecting and Counting Dense Vehicles From Drone Images

Li, W., Li, H., Wu, Q., Chen, X., & Ngan, K. N. (2019) · IEEE Transactions on Industrial Electronics

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 96

QualityNet: Segmentation quality evaluation with deep convolutional networks

Huang, C., Wu, Q., & Meng, F. (2016) · 2016 Visual Communications and Image Processing (VCIP)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 40

Continual Egocentric Activity Recognition With Foreseeable-Generalized Visual–IMU Representations

He, C., Cheng, S., Qiu, Z., Xu, L., Meng, F., Wu, Q., & Li, H. (2024) · IEEE Sensors Journal

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 11

Continual Egocentric Activity Recognition via Foreseeable-Generalized Multi-Modal Representations

He, C., Cheng, S., Qiu, Z., Xu, L., Meng, F., Wu, Q., & Li, H. (2023) · IEEE Sensors Journal

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 11

Continual Egocentric Activity Recognition via Foreseeable-Generalized Multi-Modal Representations

He, C., Cheng, S., Qiu, Z., Xu, L., Meng, F., Wu, Q., & Li, H. (2023) · IEEE Sensors Journal

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 11