| NTIRE 2022 Spectral Demosaicing Challenge and Data Set | 0 | 0.34 | 2022 |
| Single-image super-resolution via selective multi-scale network | 0 | 0.34 | 2022 |
| Multiple-objective optimization of a reconfigurable assembly system via equipment selection and sequence planning | 0 | 0.34 | 2022 |
| Locality guided cross-modal feature aggregation and pixel-level fusion for multispectral pedestrian detection | 0 | 0.34 | 2022 |
| Spatio-Temporal 3-D Residual Networks for Simultaneous Detection and Depth Estimation of CFRP Subsurface Defects in Lock-In Thermography | 0 | 0.34 | 2022 |
| Eskn: Enhanced Selective Kernel Network For Single Image Super-Resolution | 0 | 0.34 | 2021 |
| A Deep Learning-Based Surface Defect Inspection System Using Multiscale and Channel-Compressed Features | 2 | 0.37 | 2020 |
| MRFN: Multi-Receptive-Field Network for Fast and Accurate Single Image Super-Resolution | 3 | 0.42 | 2020 |
| Energy-efficiency-oriented scheduling in smart manufacturing | 2 | 0.35 | 2019 |
| Orientation-aware Deep Neural Network for Real Image Super-Resolution | 0 | 0.34 | 2019 |
| Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection. | 2 | 0.36 | 2019 |
| Accurate salient object detection via dense recurrent connections and residual-based hierarchical feature integration. | 0 | 0.34 | 2019 |
| Cascaded Deep Networks with Multiple Receptive Fields for Infrared Image Super-Resolution | 4 | 0.47 | 2019 |
| Unsupervised Domain Adaptation for Multispectral Pedestrian Detection | 0 | 0.34 | 2019 |
| Pedestrian detection with unsupervised multispectral feature learning using deep neural networks. | 7 | 0.44 | 2019 |
| Fast and accurate single image super-resolution via an energy- aware improved deep residual network | 1 | 0.40 | 2019 |
| Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection. | 13 | 0.51 | 2018 |
| A multi-scale non-uniformity correction method based on wavelet decomposition and guided filtering for uncooled long wave infrared camera. | 2 | 0.37 | 2018 |
| Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method. | 4 | 0.61 | 2016 |
| EOQ principle analysis of benefit consistency of supply and demand based on comprehensive cost of quality. | 0 | 0.34 | 2012 |
