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Synthetic Data for Text Localisation in Natural Images.

, , and . CVPR, page 2315-2324. IEEE Computer Society, (2016)

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OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues., , and . IEEE Trans. Pattern Anal. Mach. Intell., 32 (3): 530-545 (2010)Mining Faces from Biomedical Literature using Deep Learning., , and . BCB, page 562-567. ACM, (2017)Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings., , and . ECCV Workshops (1), volume 11129 of Lecture Notes in Computer Science, page 556-572. Springer, (2018)Learnable PINs: Cross-modal Embeddings for Person Identity., , and . ECCV (13), volume 11217 of Lecture Notes in Computer Science, page 73-89. Springer, (2018)Real-time Visual Tracking for Surveillance and Path Planning., , and . ECCV, volume 588 of Lecture Notes in Computer Science, page 879-883. Springer, (1992)Out of Time: Automated Lip Sync in the Wild., and . ACCV Workshops (2), volume 10117 of Lecture Notes in Computer Science, page 251-263. Springer, (2016)MORSE: An Architecture for 3D Object Recognition Based on Invariants., , , , , and . ACCV, volume 1035 of Lecture Notes in Computer Science, page 425-434. Springer, (1995)Interferences in Match Kernels., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 39 (9): 1797-1810 (2017)Smooth Loss Functions for Deep Top-k Classification., , and . ICLR (Poster), OpenReview.net, (2018)Deep Structured Output Learning for Unconstrained Text Recognition., , , and . ICLR, (2015)