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2020 – today
- 2023
[j41]Zhiwei Xu
, Shangfei Wang:
Emotional Attention Detection and Correlation Exploration for Image Emotion Distribution Learning. IEEE Trans. Affect. Comput. 14(1): 357-369 (2023)- [j40]Shangfei Wang, Yanan Chang, Can Wang:
Dual Learning for Joint Facial Landmark Detection and Action Unit Recognition. IEEE Trans. Affect. Comput. 14(2): 1404-1416 (2023) - [c98]Lin Fang, Shangfei Wang:
Human Pose Estimation with Shape Aware Loss. FG 2023: 1-8 - [c97]Haihan Wang, Shangfei Wang:
Low-Resolution Face Recognition Enhanced by High-Resolution Facial Images. FG 2023: 1-8 - [c96]Cong Liang, Shangfei Wang, Xiaoping Chen:
Privacy-Protected Facial Expression Recognition Augmented by High-Resolution Facial Images. ICME 2023: 1361-1366 - [i13]Shangfei Wang, Yanan Chang, Yi Wu, Xiangyu Miao, Jiaqiang Wu, Zhouan Zhu, Jiahe Wang, Yufei Xiao:
Facial Affective Behavior Analysis Method for 5th ABAW Competition. CoRR abs/2303.09145 (2023) - [i12]Shangfei Wang, Jiaqiang Wu, Feiyi Zheng, Xin Li, Xuewei Li, Suwen Wang, Yi Wu, Yanan Chang, Xiangyu Miao:
Emotional Reaction Intensity Estimation Based on Multimodal Data. CoRR abs/2303.09167 (2023) - [i11]Zhouan Zhu, Xin Li, Jicai Pan, Yufei Xiao, Yanan Chang, Feiyi Zheng, Shangfei Wang:
MEDIC: A Multimodal Empathy Dataset in Counseling. CoRR abs/2305.02842 (2023) - 2022
- [j39]Shangfei Wang, Heyan Ding, Guozhu Peng:
Dual Learning for Facial Action Unit Detection Under Nonfull Annotation. IEEE Trans. Cybern. 52(4): 2225-2237 (2022) - [c95]Jiahe Wang, Heyan Ding, Shangfei Wang:
Occluded Facial Expression Recognition Using Self-supervised Learning. ACCV (4) 2022: 121-136 - [c94]Yanan Chang, Shangfei Wang:
Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition. CVPR 2022: 20385-20394 - [c93]Lin Fang, Shi Yin, Shangfei Wang, Yanan Chang:
Adversarial Stacking Ensemble for Facial Landmark Tracking. ICPR 2022: 1048-1054 - [c92]Jicai Pan, Shangfei Wang, Lin Fang:
Representation Learning through Multimodal Attention and Time-Sync Comments for Affective Video Content Analysis. ACM Multimedia 2022: 42-50 - [c91]Haihan Wang, Shangfei Wang, Lin Fang:
Two-Stage Multi-Scale Resolution-Adaptive Network for Low-Resolution Face Recognition. ACM Multimedia 2022: 4053-4062 - [c90]Xiangyu Miao, Shangfei Wang:
Knowledge Guided Representation Disentanglement for Face Recognition from Low Illumination Images. ACM Multimedia 2022: 6655-6663 - [i10]Shangfei Wang, Yanan Chang, Jiahe Wang:
Facial Action Unit Recognition Based on Transfer Learning. CoRR abs/2203.14694 (2022) - [i9]Xiangyu Miao, Jiahe Wang, Yanan Chang, Yi Wu, Shangfei Wang:
Hand-Assisted Expression Recognition Method from Synthetic Images at the Fourth ABAW Challenge. CoRR abs/2207.09661 (2022) - [i8]Yanan Chang, Yi Wu, Xiangyu Miao, Jiahe Wang, Shangfei Wang:
Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge. CoRR abs/2207.09716 (2022) - 2021
- [j38]Shangfei Wang, Shi Yin, Longfei Hao, Guang Liang:
Multi-task face analyses through adversarial learning. Pattern Recognit. 114: 107837 (2021) - [j37]Shangfei Wang, Guozhu Peng, Zhuangqiang Zheng, Zhiwei Xu:
Capturing Emotion Distribution for Multimedia Emotion Tagging. IEEE Trans. Affect. Comput. 12(4): 821-831 (2021) - [j36]Shangfei Wang, Can Wang, Tanfang Chen, Yaxin Wang, Yangyang Shu, Qiang Ji:
Video Affective Content Analysis by Exploring Domain Knowledge. IEEE Trans. Affect. Comput. 12(4): 1002-1017 (2021) - [j35]Shangfei Wang, Bowen Pan, Shan Wu, Qiang Ji:
Deep Facial Action Unit Recognition and Intensity Estimation from Partially Labelled Data. IEEE Trans. Affect. Comput. 12(4): 1018-1030 (2021) - [c89]Guang Liang, Shangfei Wang, Can Wang:
Pose-Invariant Facial Expression Recognition. FG 2021: 1-8 - [c88]Bin Xia, Shangfei Wang:
Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain. IJCAI 2021: 1186-1193 - [i7]Shangfei Wang, Yanan Chang, Guozhu Peng, Bowen Pan:
Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition. CoRR abs/2106.02258 (2021) - 2020
- [j34]Shangfei Wang, Zhuangqiang Zheng, Shi Yin, Jiajia Yang, Qiang Ji:
A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2082-2095 (2020) - [j33]Shangfei Wang, Guozhu Peng, Qiang Ji:
Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition. IEEE Trans. Affect. Comput. 11(4): 640-652 (2020) - [j32]Shangfei Wang, Guozhu Peng, Zhuangqiang Zheng:
Capturing Joint Label Distribution for Multi-Label Classification Through Adversarial Learning. IEEE Trans. Knowl. Data Eng. 32(12): 2310-2321 (2020) - [j31]Shangfei Wang, Longfei Hao, Qiang Ji:
Knowledge-Augmented Multimodal Deep Regression Bayesian Networks for Emotion Video Tagging. IEEE Trans. Multim. 22(4): 1084-1097 (2020) - [j30]Shangfei Wang, Longfei Hao, Qiang Ji:
Posed and Spontaneous Expression Distinction Using Latent Regression Bayesian Networks. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 80:1-80:18 (2020) - [c87]Bin Xia, Shangfei Wang:
Unpaired Multimodal Facial Expression Recognition. ACCV (5) 2020: 54-69 - [c86]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen, Cong Liang:
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking. ACM Multimedia 2020: 538-546 - [c85]Bin Xia, Shangfei Wang:
Occluded Facial Expression Recognition with Step-Wise Assistance from Unpaired Non-Occluded Images. ACM Multimedia 2020: 2927-2935 - [c84]Bin Xia, Weikang Wang, Shangfei Wang, Enhong Chen:
Learning from Macro-expression: a Micro-expression Recognition Framework. ACM Multimedia 2020: 2936-2944 - [c83]Zhiwei Xu, Shangfei Wang, Can Wang:
Exploiting Multi-Emotion Relations at Feature and Label Levels for Emotion Tagging. ACM Multimedia 2020: 2955-2963 - [c82]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen:
Exploiting Self-Supervised and Semi-Supervised Learning for Facial Landmark Tracking with Unlabeled Data. ACM Multimedia 2020: 2991-2998 - [i6]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen:
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking. CoRR abs/2004.02108 (2020) - [i5]Guang Liang, Shangfei Wang, Can Wang:
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition. CoRR abs/2007.05932 (2020)
2010 – 2019
- 2019
- [j29]Shangfei Wang, Shiyu Chen, Qiang Ji:
Content-Based Video Emotion Tagging Augmented by Users' Multiple Physiological Responses. IEEE Trans. Affect. Comput. 10(2): 155-166 (2019) - [j28]Shangfei Wang, Shan Wu, Guozhu Peng, Qiang Ji:
Capturing Feature and Label Relations Simultaneously for Multiple Facial Action Unit Recognition. IEEE Trans. Affect. Comput. 10(3): 348-359 (2019) - [j27]Shangfei Wang, Longfei Hao, Qiang Ji:
Facial Action Unit Recognition and Intensity Estimation Enhanced Through Label Dependencies. IEEE Trans. Image Process. 28(3): 1428-1442 (2019) - [j26]Shangfei Wang, Guozhu Peng:
Weakly Supervised Dual Learning for Facial Action Unit Recognition. IEEE Trans. Multim. 21(12): 3218-3230 (2019) - [c81]Bowen Pan, Shangfei Wang, Qisheng Jiang:
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning. AAAI 2019: 679-686 - [c80]Guozhu Peng, Shangfei Wang:
Dual Semi-Supervised Learning for Facial Action Unit Recognition. AAAI 2019: 8827-8834 - [c79]Shi Yin, Yonggan Fu, Can Wang, Runlong Wu, Heyan Ding, Shangfei Wang:
Integrating Facial Images, Speeches and Time for Empathy Prediction. FG 2019: 1-3 - [c78]Shi Yin, Shangfei Wang, Guozhu Peng, Xiaoping Chen, Bowen Pan:
Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning. IJCAI 2019: 1010-1017 - [c77]Shi Yin, Yi Zhou, Chenguang Li, Shangfei Wang, Jianmin Ji, Xiaoping Chen, Ruili Wang:
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation. IJCNN 2019: 1-8 - [c76]Shi Yin, Cong Liang, Heyan Ding, Shangfei Wang:
A Multi-Modal Hierarchical Recurrent Neural Network for Depression Detection. AVEC@MM 2019: 65-71 - [c75]Can Wang, Shangfei Wang, Guang Liang:
Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning. ACM Multimedia 2019: 238-246 - [c74]Bowen Pan, Shangfei Wang, Bin Xia:
Occluded Facial Expression Recognition Enhanced through Privileged Information. ACM Multimedia 2019: 566-573 - [i4]Sicheng Zhao, Shangfei Wang, Mohammad Soleymani, Dhiraj Joshi, Qiang Ji:
Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey. CoRR abs/1911.05609 (2019) - [i3]Shangfei Wang, Shi Yin, Longfei Hao, Guang Liang:
Multiple Face Analyses through Adversarial Learning. CoRR abs/1911.07846 (2019) - 2018
- [j25]Shangfei Wang, Shiyu Chen, Tanfang Chen, Xiaoxiao Shi:
Learning with privileged information for multi-Label classification. Pattern Recognit. 81: 60-70 (2018) - [j24]Shangfei Wang, Bowen Pan, Huaping Chen, Qiang Ji:
Thermal Augmented Expression Recognition. IEEE Trans. Cybern. 48(7): 2203-2214 (2018) - [j23]Shangfei Wang, Guozhu Peng, Shiyu Chen, Qiang Ji:
Weakly Supervised Facial Action Unit Recognition With Domain Knowledge. IEEE Trans. Cybern. 48(11): 3265-3276 (2018) - [c73]Guozhu Peng, Shangfei Wang:
Weakly Supervised Facial Action Unit Recognition Through Adversarial Training. CVPR 2018: 2188-2196 - [c72]Longfei Hao, Shangfei Wang, Guozhu Peng, Qiang Ji:
Facial Action Unit Recognition Augmented by Their Dependencies. FG 2018: 187-194 - [c71]Can Wang, Shangfei Wang:
Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network. ACM Multimedia 2018: 302-310 - [c70]Bowen Pan, Shangfei Wang:
Facial Expression Recognition Enhanced by Thermal Images through Adversarial Learning. ACM Multimedia 2018: 1346-1353 - [i2]Shi Yin, Yi Zhou, Chenguang Li, Shangfei Wang, Jianmin Ji, Xiaoping Chen, Ruili Wang:
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation. CoRR abs/1808.09888 (2018) - 2017
- [j22]Shangfei Wang, Quan Gan, Qiang Ji:
Expression-assisted facial action unit recognition under incomplete AU annotation. Pattern Recognit. 61: 78-91 (2017) - [j21]Shangfei Wang, Jiajia Yang, Zhen Gao, Qiang Ji:
Feature and label relation modeling for multiple-facial action unit classification and intensity estimation. Pattern Recognit. 65: 71-81 (2017) - [c69]Shan Wu, Shangfei Wang, Qiang Ji:
Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data. AAAI 2017: 1026-1033 - [c68]Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji:
Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network. AAAI 2017: 4039-4045 - [c67]Shan Wu, Shangfei Wang, Zhen Gao:
Personalized video emotion tagging through a topic model. ICASSP 2017: 2866-2870 - [c66]Yangyang Shu, Shangfei Wang:
Emotion recognition through integrating EEG and peripheral signals. ICASSP 2017: 2871-2875 - [c65]Shan Wu, Shangfei Wang, Bowen Pan, Qiang Ji:
Deep Facial Action Unit Recognition from Partially Labeled Data. ICCV 2017: 3971-3979 - [c64]Quan Gan, Shangfei Wang, Longfei Hao, Qiang Ji:
A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses. ICCV 2017: 5123-5132 - [c63]Tanfang Chen, Shangfei Wang, Shiyu Chen:
Deep multimodal network for multi-label classification. ICME 2017: 955-960 - [c62]Jiajia Yang, Shangfei Wang:
Capturing Spatial and Temporal Patterns for Distinguishing between Posed and Spontaneous Expressions. ACM Multimedia 2017: 469-477 - [c61]Tanfang Chen, Yaxin Wang, Shangfei Wang, Shiyu Chen:
Exploring Domain Knowledge for Affective Video Content Analyses. ACM Multimedia 2017: 769-776 - [i1]Shiyu Chen, Shangfei Wang, Tanfang Chen, Xiaoxiao Shi:
Learning with Privileged Information for Multi-Label Classification. CoRR abs/1703.09911 (2017) - 2016
- [j20]Shangfei Wang, Chongliang Wu, Qiang Ji:
Capturing global spatial patterns for distinguishing posed and spontaneous expressions. Comput. Vis. Image Underst. 147: 69-76 (2016) - [j19]Shangfei Wang, Shan Wu, Zhen Gao, Qiang Ji:
Facial expression recognition through modeling age-related spatial patterns. Multim. Tools Appl. 75(7): 3937-3954 (2016) - [j18]Shangfei Wang, Zhen Gao, Shan He, Menghua He, Qiang Ji:
Gender recognition from visible and thermal infrared facial images. Multim. Tools Appl. 75(14): 8419-8442 (2016) - [c60]Rui Zhao, Quan Gan, Shangfei Wang, Qiang Ji:
Facial Expression Intensity Estimation Using Ordinal Information. CVPR 2016: 3466-3474 - [c59]Shiyu Chen, Zhen Gao, Shangfei Wang:
Emotion recognition from peripheral physiological signals enhanced by EEG. ICASSP 2016: 2827-2831 - [c58]Shiyu Chen, Shangfei Wang, Chongliang Wu, Zhen Gao, Xiaoxiao Shi, Qiang Ji:
Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses. ICPR 2016: 295-300 - [c57]Shan Wu, Shangfei Wang, Yachen Zhu, Zhen Gao, Lihua Yue, Qiang Ji:
Employing subjects' information as privileged information for emotion recognition from EEG signals. ICPR 2016: 301-306 - [c56]Shan Wu, Shangfei Wang, Qiang Ji:
Multiple Facial Action Unit recognition by learning joint features and label relations. ICPR 2016: 2246-2251 - [c55]Jiajia Yang, Shan Wu, Shangfei Wang, Qiang Ji:
Multiple facial action unit recognition enhanced by facial expressions. ICPR 2016: 4089-4094 - [c54]Tanfang Chen, Shangfei Wang, Zhen Gao, Chongliang Wu:
Emotion Recognition from EEG Signals Enhanced by User's Profile. ICMR 2016: 277-280 - [c53]Chongliang Wu, Shangfei Wang, Bowen Pan, Huaping Chen:
Facial Expression Recognition with Deep two-view Support Vector Machine. ACM Multimedia 2016: 616-620 - [c52]Chongliang Wu, Shangfei Wang:
Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine. MMM (1) 2016: 127-137 - 2015
- [j17]Shangfei Wang, Menghua He, Yachen Zhu, Shan He, Yue Liu, Qiang Ji:
Learning with privileged information using Bayesian networks. Frontiers Comput. Sci. 9(2): 185-199 (2015) - [j16]Shangfei Wang, Zhaoyu Wang, Qiang Ji:
Multiple emotional tagging of multimedia data by exploiting dependencies among emotions. Multim. Tools Appl. 74(6): 1863-1883 (2015) - [j15]Shangfei Wang, Zhilei Liu, Yachen Zhu, Menghua He, Xiaoping Chen, Qiang Ji:
Implicit video emotion tagging from audiences' facial expression. Multim. Tools Appl. 74(13): 4679-4706 (2015) - [j14]Shangfei Wang, Chongliang Wu, Menghua He, Jun Wang, Qiang Ji:
Posed and spontaneous expression recognition through modeling their spatial patterns. Mach. Vis. Appl. 26(2-3): 219-231 (2015) - [j13]Shangfei Wang, Qiang Ji:
Video Affective Content Analysis: A Survey of State-of-the-Art Methods. IEEE Trans. Affect. Comput. 6(4): 410-430 (2015) - [j12]Shangfei Wang, Yachen Zhu, Lihua Yue, Qiang Ji:
Emotion Recognition with the Help of Privileged Information. IEEE Trans. Auton. Ment. Dev. 7(3): 189-200 (2015) - [j11]Shangfei Wang, Jun Wang, Ziheng Wang, Qiang Ji:
Multiple Emotion Tagging for Multimedia Data by Exploiting High-Order Dependencies Among Emotions. IEEE Trans. Multim. 17(12): 2185-2197 (2015) - [c51]Quan Gan, Chongliang Wu, Shangfei Wang, Qiang Ji:
Posed and spontaneous facial expression differentiation using deep Boltzmann machines. ACII 2015: 643-648 - [c50]Chongliang Wu, Shangfei Wang, Qiang Ji:
Multi-instance Hidden Markov Model for facial expression recognition. FG 2015: 1-6 - [c49]Shan Wu, Shangfei Wang, Jun Wang:
Enhanced facial expression recognition by age. FG 2015: 1-6 - [c48]Jun Wang, Shangfei Wang, Qiang Ji:
Facial Action Unit Classification with Hidden Knowledge under Incomplete Annotation. ICMR 2015: 75-82 - [c47]Xiaoxiao Shi, Shangfei Wang, Yachen Zhu:
Expression Recognition from Visible Images with the Help of Thermal Images. ICMR 2015: 563-566 - [c46]Zhen Gao, Shangfei Wang, Qiang Ji:
Multiple Aesthetic Attribute Assessment by Exploiting Relations Among Aesthetic Attributes. ICMR 2015: 575-578 - [c45]Zhen Gao, Shangfei Wang:
Emotion Recognition from EEG Signals using Hierarchical Bayesian Network with Privileged Information. ICMR 2015: 579-582 - [c44]Zhen Gao, Shangfei Wang:
Emotion Recognition from EEG Signals by Leveraging Stimulus Videos. PCM (2) 2015: 118-127 - 2014
- [j10]Shangfei Wang, Shan He, Yue Wu, Menghua He, Qiang Ji:
Fusion of visible and thermal images for facial expression recognition. Frontiers Comput. Sci. 8(2): 232-242 (2014) - [j9]Shangfei Wang, Menghua He, Zhen Gao, Shan He, Qiang Ji:
Emotion recognition from thermal infrared images using deep Boltzmann machine. Frontiers Comput. Sci. 8(4): 609-618 (2014) - [j8]Shangfei Wang, Zhilei Liu, Jun Wang, Zhaoyu Wang, Yongqiang Li, Xiaoping Chen, Qiang Ji:
Exploiting multi-expression dependences for implicit multi-emotion video tagging. Image Vis. Comput. 32(10): 682-691 (2014) - [j7]Shangfei Wang, Yachen Zhu, Guobing Wu, Qiang Ji:
Hybrid video emotional tagging using users' EEG and video content. Multim. Tools Appl. 72(2): 1257-1283 (2014) - [j6]Shangfei Wang, Jun Wang, Zhaoyu Wang, Qiang Ji:
Enhancing multi-label classification by modeling dependencies among labels. Pattern Recognit. 47(10): 3405-3413 (2014) - [c43]Zhen Gao, Shangfei Wang, Chongliang Wu, Jun Wang, Qiang Ji:
Facial Action Unit recognition by relation modeling from both qualitative knowledge and quantitative data. ICME Workshops 2014: 1-6 - [c42]Jun Wang, Shangfei Wang, Mengdi Huai, Chongliang Wu, Zhen Gao, Yue Liu, Qiang Ji:
Capture expression-dependent AU relations for expression recognition. ICME Workshops 2014: 1-6 - [c41]Zhaoyu Wang, Jun Wang, Shangfei Wang, Qiang Ji:
Sequence-based bias analysis of spontaneous facial expression databases. ICME Workshops 2014: 1-6 - [c40]Yachen Zhu, Shangfei Wang, Qiang Ji:
Emotion recognition from users' EEG signals with the help of stimulus VIDEOS. ICME 2014: 1-6 - [c39]Yachen Zhu, Shangfei Wang, Lihua Yue, Qiang Ji:
Multiple-Facial Action Unit Recognition by Shared Feature Learning and Semantic Relation Modeling. ICPR 2014: 1663-1668 - [c38]Baoyuan Wu, Zhilei Liu, Shangfei Wang, Bao-Gang Hu, Qiang Ji:
Multi-label Learning with Missing Labels. ICPR 2014: 1964-1968 - [c37]Jun Wang, Shangfei Wang, Qiang Ji:
Early Facial Expression Recognition Using Hidden Markov Models. ICPR 2014: 4594-4599 - 2013
- [j5]Shangfei Wang, Zhilei Liu, Peijia Shen, Qiang Ji:
Eye localization from thermal infrared images. Pattern Recognit. 46(10): 2613-2621 (2013) - [j4]Shangfei Wang, Zhilei Liu, Zhaoyu Wang, Guobing Wu, Peijia Shen, Shan He, Xufa Wang:
Analyses of a Multimodal Spontaneous Facial Expression Database. IEEE Trans. Affect. Comput. 4(1): 34-46 (2013) - [j3]Yongqiang Li, Shangfei Wang, Yongping Zhao, Qiang Ji:
Simultaneous Facial Feature Tracking and Facial Expression Recognition. IEEE Trans. Image Process. 22(7): 2559-2573 (2013) - [c36]Menghua He, Shangfei Wang, Qiang Ji:
Active Labeling of Facial Feature Points. ACII 2013: 55-60 - [c35]Menghua He, Shangfei Wang, Zhilei Liu, Xiaoping Chen:
Analyses of the Differences between Posed and Spontaneous Facial Expressions. ACII