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NTIRE 2023 Image Shadow Removal Challenge Report., , , , , , , , , and 91 other author(s). CVPR Workshops, page 1788-1807. IEEE, (2023)Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models., , , , and . CoRR, (2024)NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results., , , , , , , , , and 117 other author(s). CVPR Workshops, page 1346-1372. IEEE, (2023)Controlling Vision-Language Models for Multi-Task Image Restoration., , , , and . ICLR, OpenReview.net, (2024)Accurate 3D Object Detection using Energy-Based Models., , and . CoRR, (2020)Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision., , and . CVPR Workshops, page 1289-1298. Computer Vision Foundation / IEEE, (2020)How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?, , and . Trans. Mach. Learn. Res., (2023)Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report., , , , , , , , , and 30 other author(s). CVPR Workshops, page 1643-1659. IEEE, (2023)Energy-Based Models for Deep Probabilistic Regression., , , and . ECCV (20), volume 12365 of Lecture Notes in Computer Science, page 325-343. Springer, (2020)Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision, , and . (2019)cite arxiv:1906.01620Comment: Code is available at https://github.com/fregu856/evaluating_bdl.