Swiss Fed Inst Technol, Comp Vis Lab, Zurich, Switzerland
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NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results00.342022
Efficient and robust eye images iris segmentation using a lightweight U-net convolutional network00.342022
NTIRE 2022 Spectral Recovery Challenge and Data Set00.342022
NTIRE 2022 Image Inpainting Challenge: Report00.342022
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution10.352022
LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image Processing00.342022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models00.342022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.00.342022
PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices.00.342022
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild00.342022
Revisiting Random Channel Pruning for Neural Network Compression00.342022
Arbitrary-Scale Image Synthesis00.342022
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction00.342022
NTIRE 2022 Spectral Demosaicing Challenge and Data Set00.342022
NTIRE 2022 Challenge on Perceptual Image Quality Assessment00.342022
Deep Burst Super-Resolution30.382021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report10.352021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling.00.342021
Fourier Space Losses for Efficient Perceptual Image Super-Resolution.00.342021
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results90.472021
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report00.342021
Special Section Guest Editorial: Perceptually Optimized Imaging00.342021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results30.382021
Fast Few-Shot Classification by Few-Iteration Meta-Learning00.342021
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression00.342021
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report00.342021
SMILE: Semantically-guided Multi-attribute Image and Layout Editing00.342021
Fast and Accurate Camera Scene Detection on Smartphones00.342021
Flow-based Kernel Prior with Application to Blind Super-Resolution00.342021
Deep Learning for Visual Data Compression00.342021
NTIRE 2021 Depth Guided Image Relighting Challenge50.392021
Generalized Real-World Super-Resolution through Adversarial Robustness00.342021
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results20.372020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression30.392020
Probabilistic Regression For Visual Tracking30.372020
Glu-Net: Global-Local Universal Network For Dense Flow And Correspondences10.342020
Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks10.342020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results10.402020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network00.342020
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results00.342020
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution.10.352020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results10.412020
Learned image and video compression with deep neural networks00.342020
NTIRE 2020 Challenge on Image and Video Deblurring00.342020
The Eighth Visual Object Tracking VOT2020 Challenge Results.30.462020
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network00.342020
AIM 2020 Challenge on Learned Image Signal Processing Pipeline10.372020
NTIRE 2020 Challenge on NonHomogeneous Dehazing30.372020
Learning For Video Compression With Hierarchical Quality And Recurrent Enhancement20.372020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results20.362020
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