| NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results | 0 | 0.34 | 2022 |
| Perceptual Learned Video Compression with Recurrent Conditional GAN. | 0 | 0.34 | 2022 |
| Implicit Neural Representations for Image Compression. | 0 | 0.34 | 2022 |
| Perceptual Learned Video Compression with Recurrent Conditional GAN | 0 | 0.34 | 2022 |
| NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results | 2 | 0.36 | 2021 |
| Deep Homography for Efficient Stereo Image Compression | 0 | 0.34 | 2021 |
| Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model | 2 | 0.37 | 2021 |
| NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study | 2 | 0.38 | 2021 |
| Understanding And Predicting The Memorability Of Outdoor Natural Scenes | 0 | 0.34 | 2020 |
| Learning For Video Compression With Hierarchical Quality And Recurrent Enhancement | 2 | 0.37 | 2020 |
| Learning to Improve Image Compression without Changing the Standard Decoder | 0 | 0.34 | 2020 |
| Wavelet Domain Style Transfer For An Effective Perception-Distortion Tradeoff In Single Image Super-Resolution | 1 | 0.35 | 2019 |
| A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC. | 13 | 0.55 | 2019 |
| Quality-Gated Convolutional Lstm for Enhancing Compressed Video | 5 | 0.42 | 2019 |
| MFQE 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video | 14 | 0.53 | 2019 |
| A DenseNet Based Approach for Multi-frame In-loop Filter in HEVC | 4 | 0.51 | 2019 |
| Enhancing Quality For Hevc Compressed Videos | 6 | 0.45 | 2019 |
| Saliency-Guided Complexity Control for HEVC Decoding. | 3 | 0.39 | 2018 |
| Hierarchical Multinomial Latent Model With G0 Distribution for Synthetic Aperture Radar Image Semantic Segmentation. | 0 | 0.34 | 2018 |
| What Makes Natural Scene Memorable? | 1 | 0.35 | 2018 |
| Enhancing Quality for HEVC Compressed Videos. | 9 | 0.47 | 2017 |
