| End-to-End Optimized 360 degrees Image Compression | 0 | 0.34 | 2022 |
| Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression | 0 | 0.34 | 2022 |
| Revisiting Random Channel Pruning for Neural Network Compression | 0 | 0.34 | 2022 |
| Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. | 0 | 0.34 | 2022 |
| NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results | 0 | 0.34 | 2022 |
| VPU: A Video-Based Point Cloud Upsampling Framework | 0 | 0.34 | 2022 |
| Special Section Guest Editorial: Perceptually Optimized Imaging | 0 | 0.34 | 2021 |
| Flow-based Kernel Prior with Application to Blind Super-Resolution | 0 | 0.34 | 2021 |
| Improving Facial Attribute Recognition by Group and Graph Learning | 0 | 0.34 | 2021 |
| Sequential Point Cloud Upsampling by Exploiting Multi-Scale Temporal Dependency | 1 | 0.36 | 2021 |
| The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures | 0 | 0.34 | 2021 |
| Unsupervised Multimodal Video-To-Video Translation Via Self-Supervised Learning | 0 | 0.34 | 2021 |
| Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report | 0 | 0.34 | 2021 |
| You Only Look Yourself: Unsupervised And Untrained Single Image Dehazing Neural Network | 9 | 0.46 | 2021 |
| Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training. | 0 | 0.34 | 2021 |
| NTIRE 2021 Challenge on Perceptual Image Quality Assessment | 4 | 0.39 | 2021 |
| Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression | 3 | 0.39 | 2020 |
| AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results | 0 | 0.34 | 2020 |
| Multi-Domain Learning For Accurate And Few-Shot Color Constancy | 1 | 0.36 | 2020 |
| Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network | 0 | 0.34 | 2020 |
| NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results | 1 | 0.36 | 2020 |
| Learned Dynamic Guidance for Depth Image Reconstruction | 4 | 0.38 | 2020 |
| Fast Image Restoration With Multi-Bin Trainable Linear Units | 0 | 0.34 | 2019 |
| NTIRE 2019 Challenge on Real Image Super-Resolution - Methods and Results. | 1 | 0.35 | 2019 |
| NTIRE 2019 Challenge on Image Colorization: Report | 0 | 0.34 | 2019 |
| Self-Guided Network For Fast Image Denoising | 10 | 0.47 | 2019 |
| Exemplar Guided Face Image Super-Resolution without Facial Landmarks. | 3 | 0.38 | 2019 |
| Learning Content-Weighted Deep Image Compression | 3 | 0.39 | 2019 |
| NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results | 1 | 0.36 | 2019 |
| Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images. | 58 | 1.27 | 2018 |
| Integrating Local And Non-Local Denoiser Priors For Image Restoration | 0 | 0.34 | 2018 |
| Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression. | 0 | 0.34 | 2018 |
| Online multi-layer dictionary pair learning for visual classification. | 1 | 0.35 | 2018 |
| Learning Latent Patterns In Molecular Data For Explainable Drug Side Effects Prediction | 0 | 0.34 | 2018 |
| Multi-bin Trainable Linear Unit for Fast Image Restoration Networks. | 0 | 0.34 | 2018 |
| Joint Image Denoising and Disparity Estimation via Stereo Structure PCA and Noise-Tolerant Cost. | 2 | 0.38 | 2017 |
| Learning Dynamic Guidance for Depth Image Enhancement | 15 | 0.56 | 2017 |
| Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision. | 94 | 1.92 | 2017 |
| Dictionary Pair Classifier Driven Convolutional Neural Networks For Object Detection | 8 | 0.50 | 2016 |
| Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution. | 21 | 0.90 | 2016 |
| Multispectral Images Denoising By Intrinsic Tensor Sparsity Regularization | 10 | 0.48 | 2016 |
| Discriminative learning of iteration-wise priors for blind deconvolution | 19 | 0.64 | 2015 |
| Convolutional Sparse Coding for Image Super-Resolution | 63 | 1.48 | 2015 |
| Weighted Schatten $p$-Norm Minimization for Image Denoising and Background Subtraction | 49 | 0.94 | 2015 |
| Projective dictionary pair learning for pattern classification. | 67 | 1.36 | 2014 |
| Weighted Nuclear Norm Minimization with Application to Image Denoising | 243 | 4.89 | 2014 |
| On the Optimal Solution of Weighted Nuclear Norm Minimization. | 4 | 0.40 | 2014 |
| Fast image super resolution via local regression | 6 | 0.47 | 2012 |
