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07/12/2021
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning
Video super-resolution (VSR) technology excels in reconstructing low-qua...
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02/27/2021
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Unsupervised domain adaptive object detection aims to adapt detectors fr...
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12/26/2020
Learning Inter- and Intra-frame Representations for Non-Lambertian Photometric Stereo
In this paper, we build a two-stage Convolutional Neural Network (CNN) a...
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12/18/2020
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds
Interpretation of Airborne Laser Scanning (ALS) point clouds is a critic...
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12/07/2020
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors
Image Super-Resolution (SR) provides a promising technique to enhance th...
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07/18/2020
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation
In industrial product quality assessment, it is essential to determine w...
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05/08/2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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12/09/2019
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features
Recently, Convolutional Neural Networks (CNNs) have been successfully ad...
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04/07/2019
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection
Multimodal information (e.g., visible and thermal) can generate robust p...
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02/14/2019
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection
Effective fusion of complementary information captured by multi-modal se...
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10/26/2018
Security Event Recognition for Visual Surveillance
With rapidly increasing deployment of surveillance cameras, the reliable...
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02/27/2018
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection
Multispectral pedestrian detection has received extensive attention in r...
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02/09/2018
