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Large Scale Scene Text Verification with Guided Attention.

, , , , , , , и . ACCV (5), том 11365 из Lecture Notes in Computer Science, стр. 260-275. Springer, (2018)

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Gemma Ibarz-Ric

Julian Gonska

Mikromechanische Biegebalken als hochsensitive Sensoren. Uni Freiburg, (2009)

Julian Grapengiesser

Mit Ungewissheit planen: eine Untersuchung verschiedener Ansätze der Handhabung von Ungewissheit in komplexen Planungsprozessen. Uni Stuttgart, (2009)

Julian Künzel

Rolle neurotroper und muskulotroper Spasmolytika in der In-vitro-Fertilisation (IVF): Untersuchungen am perfundierten Schweineuterus. Uni Erlangen-Nürnberg, (2009)

Julian Horst

Die verbindliche Auskunft nach § 89 Abgabenordnung. Uni Münster, (2009)
 

Другие публикации лиц с тем же именем

Diversity is All You Need: Learning Skills without a Reward Function., , , и . ICLR (Poster), OpenReview.net, (2019)Large Scale Scene Text Verification with Guided Attention., , , , , , , и . ACCV (5), том 11365 из Lecture Notes in Computer Science, стр. 260-275. Springer, (2018)Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions., , , , , , , , , и 15 other автор(ы). CoRL, том 229 из Proceedings of Machine Learning Research, стр. 3909-3928. PMLR, (2023)Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods., , , , , и . ICRA, стр. 6284-6291. IEEE, (2018)Thinking While Moving: Deep Reinforcement Learning with Concurrent Control., , , , , , и . ICLR, OpenReview.net, (2020)Visionary: Vision architecture discovery for robot learning., , , , , , , и . ICRA, стр. 10779-10785. IEEE, (2021)Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks, , , , , и . (2013)Diversity is All You Need: Learning Skills without a Reward Function., , , и . (2018)Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning., , , и . ICLR (Poster), OpenReview.net, (2018)Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks., , , , , , , , и . CVPR, стр. 12627-12637. Computer Vision Foundation / IEEE, (2019)