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Recognising emotions in context involves identifying an individual's apparent emotions while considering contextual cues from the surrounding scene.
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What do we perceive in a glance of a real-world scene?
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Context in Emotion Perception
L. F. Barrett, B. Mesquita, and M. Gendron · 2011
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Continuous prediction of spontaneous affect from multiple cues and modalities in valence-arousal space
M. A. Nicolaou, H. Gunes, and M. Pantic · 2011
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Emotic: Emotions in context dataset
R. Kosti, J. M. Alvarez, A. Recasens, and A. Lapedriza · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin · 2017
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Context is Everything (in Emotion Research)
K. H. Greenaway, E. K. Kalokerinos, and L. A. Williams · 2018
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Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2018
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Context-aware emotion recognition networks
J. Lee, S. Kim, S. Kim, J. Park, and K. Sohn · 2019
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Roberta: A robustly optimized bert pretraining approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov · 2019
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Context-aware affective graph reasoning for emotion recognition
M. Zhang, Y. Liang, and H. Ma · 2019
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Experience grounds language
Y. Bisk, A. Holtzman, J. Thomason, J. Andreas, Y. Bengio, J. Chai, M. Lapata, A. Lazaridou, J. May, A. Nisnevich, N. Pinto, and J. Turian · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al · 2020
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Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
P. P. Filntisis, N. Efthymiou, G. Potamianos, and P. Maragos · 2020
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Attention-guided context-aware emotional state recognition
S. Jaiswal, S. Misra, and G. Nandi · 2020
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ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild
Y. Luo, J. Ye, J. Adams, J. Li, M. G. Newman, and J. Z. Wang · 2020
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EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle
T. Mittal, P. Guhan, U. Bhattacharya, R. Chandra, A. Bera, and D. Manocha · 2020
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Context-aware generation-based net for multi-label visual emotion recognition
S. Ruan, K. Zhang, Y. Wang, H. Tao, W. He, G. Lv, and E. Chen · 2020
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A roadmap for us robotics–from internet to robotics 2020 edition
H. Christensen, N. Amato, H. Yanco, M. Mataric, H. Choset, A. Drobnis, K. Goldberg, J. Grizzle, G. Hager, J. Hollerbach, S. Hutchinson, V. Krovi, W. S. D Lee, and J. Trinkle · 2021
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Graph reasoning-based emotion recognition network
Q. Gao, H. Zeng, G. Li, and T. Tong · 2021
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Context-aware emotion recognition based on visual relationship detection
M.-H. Hoang, S.-H. Kim, H.-J. Yang, and G.-S. Lee · 2021
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Human emotion recognition with relational region-level analysis
W. Li, X. Dong, and Y. Wang · 2021
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Sequential interactive biased network for context-aware emotion recognition
Improved baselines with visual instruction tuning
H. Liu, C. Li, Y. Li, and Y. J. Lee · 2023
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Visual instruction tuning
H. Liu, C. Li, Q. Wu, and Y. J. Lee · 2023
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Lvlm-ehub: A comprehensive evaluation benchmark for large vision-language models
P. Xu, W. Shao, K. Zhang, P. Gao, S. Liu, M. Lei, F. Meng, S. Huang, Y. Qiao, and P. Luo · 2023
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Context De-Confounded Emotion Recognition
D. Yang, Z. Chen, Y. Wang, S. Wang, M. Li, S. Liu, X. Zhao, S. Huang, Z. Dong, P. Zhai, and L. Zhang · 2023
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Learning emotion representations from verbal and nonverbal communication
S. Zhang, Y. Pan, and J. Z. Wang · 2023
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Prompting visual-language models for dynamic facial expression recognition
Z. Zhao and I. Patras · 2023
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X. Li, X. Peng, and C. Ding · 2021
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Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild
I. Pikoulis, P. P. Filntisis, and P. Maragos · 2021
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Robust lightweight facial expression recognition network with label distribution training
Z. Zhao, Q. Liu, and F. Zhou · 2021
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LoRA: Low-rank adaptation of large language models
E. J. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, L. Wang, and W. Chen · 2022
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Shoelace pattern-based speech emotion recognition of the lecturers in distance education: Shoepat23
D. Tanko, S. Dogan, F. B. Demir, M. Baygin, S. E. Sahin, and T. Tuncer · 2022
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Disentangled representation learning for multimodal emotion recognition
D. Yang, S. Huang, H. Kuang, Y. Du, and L. Zhang · 2022
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Emotion recognition for multiple context awareness
D. Yang, S. Huang, S. Wang, Y. Liu, P. Zhai, L. Su, M. Li, and L. Zhang · 2022
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Human-computer interaction with detection of speaker emotions using convolution neural networks
A. A. Alnuaim, M. Zakariah, A. Alhadlaq, C. Shashidhar, W. A. Hatamleh, H. Tarazi, P. K. Shukla, and R. Ratna · 2024
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Emotion-llama: Multimodal emotion recognition and reasoning with instruction tuning
Z. Cheng, Z.-Q. Cheng, J.-Y. He, J. Sun, K. Wang, Y. Lin, Z. Lian, X. Peng, and A. Hauptmann · 2024
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EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition
N. M. Foteinopoulou and I. Patras · 2024
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Instructerc: Reforming emotion recognition in conversation with a retrieval multi-task llms framework
S. Lei, G. Dong, X. Wang, K. Wang, and S. Wang · 2024
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Llava finds free lunch: Teaching human behavior improves content understanding abilities of llms
S. Singh, H. S. I, Y. Singla, V. Baths, R. R. Shah, C. Chen, and B. Krishnamurthy · 2024
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Emovit: Revolutionizing emotion insights with visual instruction tuning
H. Xie, C.-J. Peng, Y.-W. Tseng, H.-J. Chen, C.-F. Hsu, H.-H. Shuai, and W.-H. Cheng · 2024
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Robust emotion recognition in context debiasing
D. Yang, K. Yang, M. Li, S. Wang, S. Wang, and L. Zhang · 2024
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Emollm: Multimodal emotional understanding meets large language models
Q. Yang, M. Ye, and B. Du · 2024
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Visual prompting in llms for enhancing emotion recognition, 2024
Q. Zhang, Z. Wang, D. Zhang, W. Niu, S. Caldwell, T. Gedeon, Y. Liu, and Z. Qin · 2024
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Dialoguellm: Context and emotion knowledge-tuned large language models for emotion recognition in conversations
Y. Zhang, M. Wang, Y. Wu, P. Tiwari, Q. Li, B. Wang, and J. Qin · 2024
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