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Light Field Intrinsics With a Deep Encoder-Decoder Network.

, , , and . CVPR, page 9145-9154. Computer Vision Foundation / IEEE Computer Society, (2018)

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Shadow and Specularity Priors for Intrinsic Light Field Decomposition., , , and . EMMCVPR, volume 10746 of Lecture Notes in Computer Science, page 389-406. Springer, (2017)Approaches for Intrinsic Light Field Decomposition.. Ausgezeichnete Informatikdissertationen, volume D-21 of LNI, GI, (2020)Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks., , , , , , , , , and 1 other author(s). CoRR, (2023)Light Field Intrinsics With a Deep Encoder-Decoder Network., , , and . CVPR, page 9145-9154. Computer Vision Foundation / IEEE Computer Society, (2018)Variational and Deep Learning Approaches for Intrinsic Light Field Decomposition.. University of Konstanz, Germany, (2020)Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging., , , , , , , , , and 2 other author(s). CoRR, (2023)Reflection Separation in Light Fields based on Sparse Coding and Specular Flow., , , and . VMV, Eurographics Association, (2016)Intrinsic Light Field Decomposition and Disparity Estimation with Deep Encoder-Decoder Network., , and . EUSIPCO, page 2165-2169. IEEE, (2018)An Epipolar Volume Autoencoder With Adversarial Loss for Deep Light Field Super-Resolution., , , , and . CVPR Workshops, page 1853-1861. Computer Vision Foundation / IEEE, (2019)Dynamic CNNs using uncertainty to overcome domain generalization for surgical instrument localization., , , , , , and . WACV, page 1727-1736. IEEE, (2022)