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SRFlow: Learning the Super-Resolution Space with Normalizing Flow.

, , , and . ECCV (5), volume 12350 of Lecture Notes in Computer Science, page 715-732. Springer, (2020)

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Synthetic Data Generation for End-to-End Thermal Infrared Tracking., , , , and . IEEE Trans. Image Process., 28 (4): 1837-1850 (2019)AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results., , , , , , , , , and 11 other author(s). CoRR, (2019)Accurate 3D Object Detection using Energy-Based Models., , and . CoRR, (2020)Dense Gaussian Processes for Few-Shot Segmentation., , , , and . CoRR, (2021)NTIRE 2022 Challenge on Learning the Super-Resolution Space., , , , , , , , , and 3 other author(s). CVPR Workshops, page 785-796. IEEE, (2022)Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision., , and . CVPR Workshops, page 1289-1298. Computer Vision Foundation / IEEE, (2020)Probabilistic Regression for Visual Tracking., , and . CVPR, page 7181-7190. Computer Vision Foundation / IEEE, (2020)Mask Transfiner for High-Quality Instance Segmentation., , , , , and . CVPR, page 4402-4411. IEEE, (2022)Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences., , , and . CVPR, page 8698-8708. IEEE, (2022)How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?, , and . CoRR, (2023)