131 results on '"Shuhang Gu"'
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2. Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary.
3. Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention.
4. NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.
5. Improved Implicit Neural Representation with Fourier Reparameterized Training.
6. NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results.
7. Stereo Risk: A Continuous Modeling Approach to Stereo Matching.
8. Single Image Depth Prediction Made Better: A Multivariate Gaussian Take.
9. NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
10. Revisiting Random Channel Pruning for Neural Network Compression.
11. NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results.
12. Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks.
13. VA-DepthNet: A Variational Approach to Single Image Depth Prediction.
14. Learning Motion Refinement for Unsupervised Face Animation.
15. Improving Facial Attribute Recognition by Group and Graph Learning.
16. Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training.
17. NTIRE 2021 Challenge on Perceptual Image Quality Assessment.
18. Flow-Based Kernel Prior With Application to Blind Super-Resolution.
19. The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures.
20. Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning.
21. Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression.
22. NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results.
23. Multi-Domain Learning for Accurate and Few-Shot Color Constancy.
24. DHP: Differentiable Meta Pruning via HyperNetworks.
25. Flexible Example-Based Image Enhancement with Task Adaptive Global Feature Self-guided Network.
26. Improving Deep Video Compression by Resolution-Adaptive Flow Coding.
27. Video Super-Resolution with Recurrent Structure-Detail Network.
28. AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results.
29. Learning Filter Basis for Convolutional Neural Network Compression.
30. Fast Image Restoration With Multi-Bin Trainable Linear Units.
31. Self-Guided Network for Fast Image Denoising.
32. The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping.
33. DIV8K: DIVerse 8K Resolution Image Dataset.
34. AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.
35. AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results.
36. AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.
37. Efficient Video Super-Resolution through Recurrent Latent Space Propagation.
38. Frequency Separation for Real-World Super-Resolution.
39. AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results.
40. Exemplar Guided Face Image Super-Resolution Without Facial Landmarks.
41. NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results.
42. NTIRE 2019 Challenge on Image Colorization: Report.
43. NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.
44. NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results.
45. Video Rain Streak Removal by Multiscale Convolutional Sparse Coding.
46. Learning Convolutional Networks for Content-Weighted Image Compression.
47. Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction.
48. Integrating Local and Non-local Denoiser Priors for Image Restoration.
49. PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report.
50. CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution.
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