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Who cites «Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)»

95 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)»

  1. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  2. Generating Sentences from a Continuous SpaceConference on Computational Natural Language Learning (CoNLL)Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.2016 · 2,435 citations
  3. Modeling Context in Referring ExpressionsLecture notes in computer scienceLicheng Yu, Patrick Poirson, Shan Yang, et al.2016 · 1,203 citations
  4. An efficient framework for learning sentence representationsarXiv:1803.02893Lajanugen Logeswaran, Honglak Lee2018 · 577 citations
  5. Detecting Sarcasm in Multimodal Social PlatformsACM International Conference on Multimedia (ACM MM)Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al.2016 · 290 citations
  6. SPICE: Semantic Propositional Image Caption EvaluationarXiv:1607.08822Peter Anderson, Basura Fernando, Mark Johnson, et al.2016 · 289 citations
  7. Order Matters: Sequence to sequence for setsarXiv:1511.06391Oriol Vinyals, Samy Bengio, Manjunath Kudlur2015 · 245 citations
  8. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
  9. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations

80 more papers of our library cite it; they have no page here yet.

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