| NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results | 0 | 0.34 | 2022 |
| Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation | 1 | 0.37 | 2022 |
| Localization Distillation for Dense Object Detection | 0 | 0.34 | 2022 |
| Robust deep ensemble method for real-world image denoising | 0 | 0.34 | 2022 |
| Integrating Degradation Learning into Image Restoration | 0 | 0.34 | 2022 |
| Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment | 0 | 0.34 | 2022 |
| Simultaneous Fidelity and Regularization Learning for Image Restoration | 6 | 0.43 | 2021 |
| Semi-supervised Single Image Deraining with Discrete Wavelet Transform. | 0 | 0.34 | 2021 |
| Bringing Events into Video Deblurring with Non-consecutively Blurry Frames. | 0 | 0.34 | 2021 |
| Distance-Iou Loss: Faster And Better Learning For Bounding Box Regression | 0 | 0.34 | 2020 |
| Neural Blind Deconvolution Using Deep Priors | 2 | 0.36 | 2020 |
| Deep Plug-and-Play Video Super-Resolution. | 0 | 0.34 | 2020 |
| Learning cascaded convolutional networks for blind single image super-resolution | 1 | 0.35 | 2020 |
| Enhanced Blind Face Restoration With Multi-Exemplar Images And Adaptive Spatial Feature Fusion | 3 | 0.37 | 2020 |
| What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective | 0 | 0.34 | 2020 |
| STAR: A Structure and Texture Aware Retinex Model. | 0 | 0.34 | 2019 |
| Progressive Image Deraining Networks: A Better And Simpler Baseline | 21 | 0.56 | 2019 |
| Understanding Kernel Size In Blind Deconvolution | 0 | 0.34 | 2019 |
| Unsupervised Degradation Learning for Single Image Super-Resolution. | 3 | 0.38 | 2018 |
| A Concatenated Residual Network for Image Deblurring. | 0 | 0.34 | 2018 |
| Partial Deconvolution with Inaccurate Blur Kernel. | 6 | 0.43 | 2018 |
| How can a sparse representation be made applicable for very low-dimensional data? | 3 | 0.37 | 2017 |
| Efficient non-uniform deblurring based on generalized additive convolution model. | 1 | 0.35 | 2016 |
| Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution. | 21 | 0.90 | 2016 |
| A Generalized Additive Convolution Model for Efficient Deblurring of Camera Shaken Image | 0 | 0.34 | 2015 |
| Discriminative learning of iteration-wise priors for blind deconvolution | 19 | 0.64 | 2015 |
| Fast total-variation based image restoration based on derivative alternated direction optimization methods | 6 | 0.45 | 2015 |
| Fast Augmented Lagrangian Method for Image Smoothing with Hyper-Laplacian Gradient Prior. | 1 | 0.36 | 2014 |
| A Derivative Augmented Lagrangian Method for Fast Total Variation Based Image Restoration. | 1 | 0.35 | 2013 |
| Fast gradient vector flow computation based on augmented Lagrangian method | 8 | 0.50 | 2013 |
| An Algorithm Based on Augmented Lagrangian Method for Generalized Gradient Vector Flow Computation. | 0 | 0.34 | 2012 |
