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End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks.

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Convolutional neural network-based encoding and decoding of visual object recognition in space and time., , , , , , and . NeuroImage, 180 (Part): 253-266 (2018)Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning., , , , , and . Int. J. Neural Syst., 32 (11): 2250052:1-2250052:16 (2022)Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition., , , and . ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 349-358. (2016)Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization., , , , , and . CoRR, (2022)End-to-end neural system identification with neural information flow., , , , , and . PLoS Comput. Biol., (2021)Forward Amortized Inference for Likelihood-Free Variational Marginalization., , , , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 777-786. PMLR, (2019)Simulating neuroprosthetic vision for emotion recognition., , , , and . ACII Workshops, page 85-87. IEEE, (2019)Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks., , , , and . CoRR, (2019)First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis., , , , , , , , , and 1 other author(s). CoRR, (2018)Deep adversarial neural decoding., , , , , and . CoRR, (2017)