Detecting depression in dyadic conversations with multimodal narratives
and visualizations

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Detecting depression in dyadic conversations with multimodal narratives and visualizations

13 January 2020

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Papers citing "Detecting depression in dyadic conversations with multimodal narratives and visualizations"

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AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition Fabien Ringeval Björn Schuller Michel Valstar N. Cummins R. Cowie ... Ziping Zhao Adria Mallol-Ragolta Zhao Ren M. Soleymani Maja Pantic 60 299 0 10 Jul 2019
AllenNLP: A Deep Semantic Natural Language Processing Platform Matt Gardner Joel Grus Mark Neumann Oyvind Tafjord Pradeep Dasigi Nelson F. Liu Matthew E. Peters Michael Schmitz Luke Zettlemoyer VLM 86 1,283 0 20 Mar 2018
Dense-Captioning Events in Videos Ranjay Krishna Kenji Hata F. Ren Li Fei-Fei Juan Carlos Niebles 139 1,248 0 02 May 2017
VQA: Visual Question Answering Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. L. Zitnick Dhruv Batra Devi Parikh CoGe 211 5,478 0 03 May 2015