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Synthetic Data Generation for End-to-End Thermal Infrared Tracking., , , , and . IEEE Trans. Image Process., 28 (4): 1837-1850 (2019)AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility., , , , , , , , , and . CoRR, (2022)How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?, , and . CoRR, (2023)Dense Gaussian Processes for Few-Shot Segmentation., , , , and . CoRR, (2021)Beyond SOT: It's Time to Track Multiple Generic Objects at Once., , , , , and . CoRR, (2022)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)Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision., , and . CVPR Workshops, page 1289-1298. Computer Vision Foundation / IEEE, (2020)NTIRE 2022 Challenge on Learning the Super-Resolution Space., , , , , , , , , and 3 other author(s). CVPR Workshops, page 785-796. IEEE, (2022)Probabilistic Regression for Visual Tracking., , and . CVPR, page 7181-7190. Computer Vision Foundation / IEEE, (2020)