24 citations · 57 across the 12 of their papers we have counts for
11 papers · 1 filter
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning
Yanpeng Cao, Chengcheng Wang, Changjun Song +2
Video super-resolution (VSR) technology excels in reconstructing low-quality video, avoiding unpleasant blur effect caused by interpolation-based algorithms. However, vast computat…
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Dayan Guan, Jiaxing Huang, Aoran Xiao +2
Unsupervised domain adaptive object detection aims to adapt detectors from a labelled source domain to an unlabelled target domain. Most existing works take a two-stage strategy th…
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds
Yaping Lin, George Vosselman, Yanpeng Cao +1
Interpretation of Airborne Laser Scanning (ALS) point clouds is a critical procedure for producing various geo-information products like 3D city models, digital terrain models and…
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors
Fan Wang, Jiangxin Yang, Yanlong Cao +2
Image Super-Resolution (SR) provides a promising technique to enhance the image quality of low-resolution optical sensors, facilitating better-performing target detection and auton…
Learning Inter- and Intraframe Representations for Non-Lambertian Photometric Stereo
Yanlong Cao, Binjie Ding, Zewei He +4
Photometric stereo provides an important method for high-fidelity 3D reconstruction based on multiple intensity images captured under different illumination directions. In this pap…
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation
Dongyun Lin, Yanpeng Cao, Wenbing Zhu +1
In industrial product quality assessment, it is essential to determine whether a product is defect-free and further analyze the severity of anomality. To this end, accurate defect…
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection
Yanpeng Cao, Dayan Guan, Yulun Wu +3
Effective fusion of complementary information captured by multi-modal sensors (visible and infrared cameras) enables robust pedestrian detection under various surveillance situatio…
Security Event Recognition for Visual Surveillance
Michael Ying Yang, Wentong Liao, Chun Yang +2
With rapidly increasing deployment of surveillance cameras, the reliable methods for automatically analyzing the surveillance video and recognizing special events are demanded by d…
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection
Dayan Guan, Yanpeng Cao, Jun Liang +2
Multispectral pedestrian detection has received extensive attention in recent years as a promising solution to facilitate robust human target detection for around-the-clock applica…
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models
Michael Ying Yang, Wentong Liao, Yanpeng Cao +1
In this paper, we present an unsupervised learning framework for analyzing activities and interactions in surveillance videos. In our framework, three levels of video events are co…