Learning Spatially Variant Linear Representation Models for Joint Filtering | 0 | 0.34 | 2022 |
NTIRE 2022 Challenge on Perceptual Image Quality Assessment | 0 | 0.34 | 2022 |
Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks | 0 | 0.34 | 2022 |
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline | 0 | 0.34 | 2022 |
Blind Deblurring for Saturated Images | 0 | 0.34 | 2021 |
Efficient Deep Image Denoising Via Class Specific Convolution | 0 | 0.34 | 2021 |
Learning a Non-blind Deblurring Network for Night Blurry Images | 0 | 0.34 | 2021 |
Physics-Based Generative Adversarial Models for Image Restoration and Beyond. | 10 | 0.45 | 2021 |
Bringing Events into Video Deblurring with Non-consecutively Blurry Frames. | 0 | 0.34 | 2021 |
NTIRE 2021 Challenge on Perceptual Image Quality Assessment | 4 | 0.39 | 2021 |
Learning Event-Based Motion Deblurring | 0 | 0.34 | 2020 |
Image Formation Model Guided Deep Image Super-Resolution | 0 | 0.34 | 2020 |
Learning To Deblur Face Images Via Sketch Synthesis | 0 | 0.34 | 2020 |
Self-Guided Novel View Synthesis via Elastic Displacement Network | 1 | 0.35 | 2020 |
Learning A Reinforced Agent For Flexible Exposure Bracketing Selection | 0 | 0.34 | 2020 |
Cross-spectral stereo matching for facial disparity estimation in the dark | 0 | 0.34 | 2020 |
Visually Imbalanced Stereo Matching | 0 | 0.34 | 2020 |
Learning to Predict Context-Adaptive Convolution for Semantic Segmentation | 1 | 0.37 | 2020 |
Spatially Variant Linear Representation Models For Joint Filtering | 2 | 0.37 | 2019 |
Davanet: Stereo Deblurring With View Aggregation | 2 | 0.37 | 2019 |
Spatio-Temporal Filter Adaptive Network For Video Deblurring | 7 | 0.45 | 2019 |
Recovering Extremely Degraded Faces by Joint Super-Resolution and Facial Composite | 0 | 0.34 | 2019 |
Learning Deep Priors For Image Dehazing | 3 | 0.37 | 2019 |
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching | 1 | 0.35 | 2019 |
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution. | 1 | 0.35 | 2019 |
DSR: Direct Self-Rectification for Uncalibrated Dual-Lens Cameras | 1 | 0.35 | 2018 |
Very Power Efficient Neural Time-of-Flight. | 0 | 0.34 | 2018 |
Single View Stereo Matching | 15 | 0.68 | 2018 |
Learning Selfie-Friendly Abstraction from Artistic Style Images. | 0 | 0.34 | 2018 |
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. | 0 | 0.34 | 2018 |
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. | 15 | 0.70 | 2018 |
Robust Tracking Using Region Proposal Networks. | 0 | 0.34 | 2017 |
Accurate Single Stage Detector Using Recurrent Rolling Convolution | 41 | 1.25 | 2017 |
Image Dehazing using Bilinear Composition Loss Function. | 0 | 0.34 | 2017 |
Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching. | 0 | 0.34 | 2017 |
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification. | 11 | 0.55 | 2016 |
Deep Multimodal Speaker Naming | 20 | 0.74 | 2015 |
Deep Edge-Aware Filters | 28 | 0.90 | 2015 |
On Vectorization Of Deep Convolutional Neural Networks For Vision Tasks | 10 | 0.67 | 2015 |
Shepard Convolutional Neural Networks | 18 | 0.82 | 2015 |
Deep Convolutional Neural Network for Image Deconvolution. | 111 | 3.13 | 2014 |
An Unsupervised Feature Learning Approach to Improve Automatic Incident Detection. | 1 | 0.37 | 2013 |
Exploring The Contribution of Unlabeled Data in Financial Sentiment Analysis. | 0 | 0.34 | 2013 |
Effective Sentiment Analysis of Corporate Financial Reports. | 1 | 0.35 | 2013 |
Optimal Control Theory in Intelligent Transportation Systems Research - A Review | 0 | 0.34 | 2013 |
When Multivariate Forecasting Meets Unsupervised Feature Learning - Towards a Novel Anomaly Detection Framework for Decision Support. | 0 | 0.34 | 2012 |
Optimal Refactoring Policy for Agile Information Systems Maintenance: A Control Theoretic Approach. | 0 | 0.34 | 2011 |
Classifying Consumer Comparison Opinions to Uncover Product Strengths and Weaknesses | 18 | 0.63 | 2011 |
Predict Market Share with Users' Online Activities Data: An Initial Study on Market Share and Search Index of Mobile Phone. | 2 | 0.45 | 2010 |