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Context-aware emotion recognition (CAER) is a complex and significant task that requires perceiving emotions from various contextual cues.
Emotion recognition in context
Ronak Kosti, Jose M Alvarez, Adria Recasens, and Agata Lapedriza · 2017
Earlier work this paper cites.
Learning to detect human-object interactions
Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, and Jia Deng · 2018
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Context based emotion recognition using emotic dataset
Ronak Kosti, Jose M Alvarez, Adria Recasens, and Agata Lapedriza · 2019
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Context-aware emotion recognition networks
Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, and Kwanghoon Sohn · 2019
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Context-aware affective graph reasoning for emotion recognition
Minghui Zhang, Yumeng Liang, and Huadong Ma · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Dfew: A large-scale database for recognizing dynamic facial expressions in the wild
Xingxun Jiang, Yuan Zong, Wenming Zheng, Chuangao Tang, Wanchuang Xia, Cheng Lu, and Jiateng Liu · 2020
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Emoticon: Context-aware multimodal emotion recognition using frege’s principle
Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, and Dinesh Manocha · 2020
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Automatic emotion recognition in clinical scenario: a systematic review of methods
Lucia Pepa, Luca Spalazzi, Marianna Capecci, and Maria Gabriella Ceravolo · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
Cited alongside, same era.
Emotion recognition for multiple context awareness
Dingkang Yang, Shuai Huang, Shunli Wang, Yang Liu, Peng Zhai, Liuzhen Su, Mingcheng Li, and Lihua Zhang · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Yazhou Zhang, Mengyao Wang, Prayag Tiwari, Qiuchi Li, Benyou Wang, and Jing Qin · 2023
Later among the works it cites.
Prompting visual-language models for dynamic facial expression recognition
Zengqun Zhao and Ioannis Patras · 2023
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Emotion-llama: Multimodal emotion recognition and reasoning with instruction tuning
Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He, Jingdong Sun, Kai Wang, Yuxiang Lin, Zheng Lian, Xiaojiang Peng, and Alexander Hauptmann · 2024
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Cited alongside, same era.
Contextually-rich human affect perception using multimodal scene information
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, and Shrikanth Narayanan · 2023
Cited alongside, same era.
Shanglin Lei, Guanting Dong, Xiaoping Wang, Keheng Wang, and Sirui Wang · 2023
Cited alongside, same era.
Gpt-4v with emotion: a zero-shot benchmark for multimodal emotion understanding
Zheng Lian, Licai Sun, Haiyang Sun, Kang Chen, Zhuofan Wen, Hao Gu, Shun Chen, Bin Liu, and Jianhua Tao · 2023
Cited alongside, same era.
Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee
Cited in the paper.
Zhiwei Liu, Kailai Yang, Tianlin Zhang, Qianqian Xie, Zeping Yu, and Sophia Ananiadou
Cited in the paper.
Context de-confounded emotion recognition
Dingkang Yang, Zhaoyu Chen, Yuzheng Wang, Shunli Wang, Mingcheng Li, Siao Liu, Xiao Zhao, Shuai Huang, Zhiyan Dong, Peng Zhai, et al
Cited in the paper.
Aide: A vision-driven multi-view, multi-modal, multi-tasking dataset for assistive driving perception
Dingkang Yang, Shuai Huang, Zhi Xu, Zhenpeng Li, Shunli Wang, Mingcheng Li, Yuzheng Wang, Yang Liu, Kun Yang, Zhaoyu Chen, et al
Cited in the paper.
Vila: On pre-training for visual language models
Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, and Song Han · 2024
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Vllms provide better context for emotion understanding through common sense reasoning
Alexandros Xenos, Niki Maria Foteinopoulou, Ioanna Ntinou, Ioannis Patras, and Georgios Tzimiropoulos · 2024
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Robust emotion recognition in context debiasing
Dingkang Yang, Kun Yang, Mingcheng Li, Shunli Wang, Shuaibing Wang, and Lihua Zhang · 2024
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What makes good examples for visual in-context learning?
Yuanhan Zhang, Kaiyang Zhou, and Ziwei Liu · 2024
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