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Content-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size.

, , , and . AAAI Spring Symposia, AAAI Press, (2017)

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Learning Deep Features for Discriminative Localization., , , , and . CoRR, (2015)Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding., , , , , , , , , and . CoRR, (2019)GANalyze: Toward Visual Definitions of Cognitive Image Properties., , , and . ICCV, page 5743-5752. IEEE, (2019)Reasoning About Human-Object Interactions Through Dual Attention Networks., , , , , and . ICCV, page 3918-3927. IEEE, (2019)Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope., and . Int. J. Comput. Vis., 42 (3): 145-175 (2001)Visual long-term memory has a massive storage capacity for object details, , , and . PNAS, 105 (38): 14325--14329 (September 2008)What Do Different Evaluation Metrics Tell Us About Saliency Models?, , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (3): 740-757 (2019)Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks., , , and . NeuroImage, (2017)Beyond Memorability: Visualization Recognition and Recall., , , , , , , and . IEEE Trans. Vis. Comput. Graph., 22 (1): 519-528 (2016)Comparing the Interpretability of Deep Networks via Network Dissection., , , and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)