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Exploiting Reflectional and Rotational Invariance in Single Image Superresolution.

, , , , and . CVPR Workshops, page 1043-1049. IEEE Computer Society, (2017)

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Real-time Depth Estimation and View Interpolation using Quasar., , , , , and . Computational Imaging, page 1-6. Society for Imaging Science and Technology, (2016)Real-time Machine Vision with GPU-acceleration using Quasar., , , and . Image Processing: Machine Vision Applications, page 1-2. Society for Imaging Science and Technology, (2016)Fast and Robust Variational Optical Flow for High-Resolution Images Using SLIC Superpixels., , , and . ACIVS, volume 9386 of Lecture Notes in Computer Science, page 205-216. Springer, (2015)Collaborative Control for Geometry-Conditioned PBR Image Generation., , , , , , , and . CoRR, (2024)Connecting the Dots: Learning Representations for Active Monocular Depth Estimation., , , , and . CVPR, page 7624-7633. Computer Vision Foundation / IEEE, (2019)Exploiting Reflectional and Rotational Invariance in Single Image Superresolution., , , , and . CVPR Workshops, page 1043-1049. IEEE Computer Society, (2017)Point Triangulation through Polyhedron Collapse Using the l∞ Norm., , and . ICCV, page 792-800. IEEE Computer Society, (2015)Line-Constrained Camera Location Estimation in Multi-Image Stereomatching., , and . Sensors, 17 (9): 1939 (2017)MATE: Machine Learning for Adaptive Calibration Template Detection., , , and . Sensors, 16 (11): 1858 (2016)Learning Non-Volumetric Depth Fusion Using Successive Reprojections., and . CVPR, page 7634-7643. Computer Vision Foundation / IEEE, (2019)