283 citations · 1.6k across the 69 of their papers we have counts for
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Meta Module Network for Compositional Visual Reasoning
Wenhu Chen, Zhe Gan, Linjie Li +3
Neural Module Network (NMN) exhibits strong interpretability and compositionality thanks to its handcrafted neural modules with explicit multi-hop reasoning capability. However, mo…
UNITER: UNiversal Image-TExt Representation Learning
Yen-Chun Chen, Linjie Li, Licheng Yu +5
Joint image-text embedding is the bedrock for most Vision-and-Language (V+L) tasks, where multimodality inputs are simultaneously processed for joint visual and textual understandi…
Relation-Aware Graph Attention Network for Visual Question Answering
Linjie Li, Zhe Gan, Yu Cheng +1
In order to answer semantically-complicated questions about an image, a Visual Question Answering (VQA) model needs to fully understand the visual scene in the image, especially th…
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Zhe Gan, Yu Cheng, Ahmed El Kholy +3
This paper presents a new model for visual dialog, Recurrent Dual Attention Network (ReDAN), using multi-step reasoning to answer a series of questions about an image. In each ques…