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HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
We present HERO, a Hierarchical EncodeR for Omni-representation learning...
05/01/2020 ∙ by Linjie Li, et al. ∙
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Learning to see people like people
Humans make complex inferences on faces, ranging from objective properti...
05/05/2017 ∙ by Amanda Song, et al. ∙
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Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
This paper presents Recurrent Dual Attention Network (ReDAN) for visual ...
02/01/2019 ∙ by Zhe Gan, et al. ∙
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Relation-aware Graph Attention Network for Visual Question Answering
In order to answer semantically-complicated questions about an image, a ...
03/29/2019 ∙ by Linjie Li, et al. ∙
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UNITER: Learning UNiversal Image-TExt Representations
Joint image-text embedding is the bedrock for most Vision-and-Language (...
09/25/2019 ∙ by Yen-Chun Chen, et al. ∙
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Meta Module Network for Compositional Visual Reasoning
There are two main lines of research on visual reasoning: neural module ...
10/08/2019 ∙ by Wenhu Chen, et al. ∙
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Linjie Li
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Purdue University
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The Regents of the University of California
