| D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution. | 0 | 0.34 | 2022 |
| NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results | 0 | 0.34 | 2022 |
| Learning Optical Flow with Adaptive Graph Reasoning. | 0 | 0.34 | 2022 |
| FS6D: Few-Shot 6D Pose Estimation of Novel Objects. | 0 | 0.34 | 2022 |
| RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos. | 0 | 0.34 | 2022 |
| Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report | 1 | 0.35 | 2021 |
| ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging | 4 | 0.40 | 2021 |
| UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning | 0 | 0.34 | 2021 |
| NBNet: Noise Basis Learning for Image Denoising with Subspace Projection | 0 | 0.34 | 2021 |
| FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation | 0 | 0.34 | 2021 |
| PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation | 0 | 0.34 | 2020 |
| Dfanet: Deep Feature Aggregation For Real-Time Semantic Segmentation | 15 | 0.53 | 2019 |
| NTIRE 2019 Challenge on Real Image Denoising: Methods and Results | 5 | 0.39 | 2019 |
| Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation | 2 | 0.36 | 2019 |
| Deep Fusion Network for Image Completion. | 4 | 0.43 | 2019 |
| Enhanced Memory Network for Video Segmentation | 3 | 0.44 | 2019 |
| Brief Announcement: A Tight Distributed Algorithm for All Pairs Shortest Paths and Applications. | 3 | 0.36 | 2016 |
| Nearly Optimal Distributed Algorithm for Computing Betweenness Centrality | 2 | 0.38 | 2016 |
| Approaching human level facial landmark localization by deep learning | 21 | 0.69 | 2016 |
| Learning Face Hallucination In The Wild | 17 | 0.65 | 2015 |
| Learning Compact Face Representation: Packing a Face into an int32 | 14 | 0.96 | 2014 |
| Learning Deep Face Representation. | 39 | 1.42 | 2014 |
| Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade | 97 | 2.51 | 2013 |
