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publications
Multimodal utterance-level affect analysis using visual, audio and text features
Published in Arxiv, 2018
This paper is about emotion recognition from visual and audio modalities.
Recommended citation: Deng, Didan, et al. "Multimodal utterance-level affect analysis using visual, audio and text features." arXiv preprint arXiv:1805.00625 (2018). https://arxiv.org/abs/1805.00625
Unsupervised Outlier Detection in Appearance-Based Gaze Estimation
Published in ICCV, 2019
This paper is outlier detection in eye gaze vector prediction in image data.
Recommended citation: Chen, Zhaokang, et al. "Unsupervised Outlier Detection in Appearance-Based Gaze Estimation." Proceedings of the IEEE International Conference on Computer Vision Workshops. 2019. https://openaccess.thecvf.com/content_ICCVW_2019/papers/RLQ/Chen_Unsupervised_Outlier_Detection_in_Appearance-Based_Gaze_Estimation_ICCVW_2019_paper.pdf
MIMAMO Net: Integrating Micro-and Macro-motion for Video Emotion Recognition
Published in AAAI, 2020
This paper is about video emotion recognition.
Recommended citation: Deng, Didan, et al. "MIMAMO Net: Integrating Micro-and Macro-motion for Video Emotion Recognition." arXiv preprint arXiv:1911.09784 (2019). https://arxiv.org/pdf/1911.09784.pdf
Multitask Emotion Recognition with Incomplete Labels
Published in FG, 2020
This paper is about multitask emotion recognition from video data.
Recommended citation: Deng, Didan, Zhaokang Chen, and Bertram E. Shi. "Multitask Emotion Recognition with Incomplete Labels." 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)(FG). https://arxiv.org/pdf/1911.09784.pdf
Towards Better Uncertainty: Iterative Training of Efficient Networks for Multitask Emotion Recognition
Published in ICCVW2021, 2021
This paper proposes an efficient emotion netowrk for video emotion recognition.
Recommended citation: Deng, Didan, Wu Liang, and Bertram E. Shi. "Towards Better Uncertainty: Iterative Training of Efficient Networks for Multitask Emotion Recognition" 2021 International Conference on Computer Vision Workshop. https://arxiv.org/abs/2108.04228
Ensembling With a Fixed Parameter Budget: When Does It Help and Why?
Published in ACML2021, 2021
This paper is about theoretical and empirical study of a phenomenon called Memory Split Advantage.
Recommended citation: Deng, Didan and Bertram E. Shi. "Ensembling With a Fixed Parameter Budget: When Does It Help and Why?" 2021 13th Asian Conference on Machine Learning. http://www.acml-conf.org/2021/conference/accepted-papers/382/
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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