22.3.6.2 Emotion Recognition from Face Images

Mistry, K., Zhang, L., Neoh, S.C., Lim, C.P., Fielding, B.,
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition,
Cyber(47), No. 6, June 2017, pp. 1496-1509.
IEEE DOI 1706
Convergence, Emotion recognition, Face recognition, Feature extraction, Genetic algorithms, Optimization, Search problems, Ensemble classifier, facial expression recognition, feature selection, particle swarm optimization, (PSO) BibRef

Rathee, N.[Neeru], Ganotra, D.[Dinesh],
Discriminative analysis of lip features for emotion recognition,
IJCVR(7), No. 6, 2017, pp. 669-691.
DOI Link 1711
BibRef

Agarwal, S.[Swapna], Santra, B.[Bikash], Mukherjee, D.P.[Dipti Prasad],
Anubhav: recognizing emotions through facial expression,
VC(34), No. 2, February 2018, pp. 177-191.
WWW Link. 1802
BibRef

Benitez-Garcia, G.[Gibran], Nakamura, T.[Tomoaki], Kaneko, M.[Masahide],
Multicultural Facial Expression Recognition Based on Differences of Western-Caucasian and East-Asian Facial Expressions of Emotions,
IEICE(E101-D), No. 5, May 2018, pp. 1317-1324.
WWW Link. 1805
BibRef

Kalsum, T.[Tehmina], Anwar, S.M.[Syed Muhammad], Majid, M.[Muhammad], Khan, B.[Bilal], Ali, S.M.[Sahibzada Muhammad],
Emotion recognition from facial expressions using hybrid feature descriptors,
IET-IPR(12), No. 6, June 2018, pp. 1004-1012.
DOI Link 1805
BibRef

Sreedharan, N.P.N.[Ninu Preetha Nirmala], Ganesan, B.[Brammya], Raveendran, R.[Ramya], Sarala, P.[Praveena], Dennis, B.[Binu], Boothalingam, R.R.[R. Rajakumar],
Grey Wolf optimisation-based feature selection and classification for facial emotion recognition,
IET-Bio(7), No. 5, September 2018, pp. 490-499.
DOI Link 1809
BibRef

Pons, G., Masip, D.,
Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis,
AffCom(9), No. 3, July 2018, pp. 343-350.
IEEE DOI 1809
Emotion recognition, Training, Databases, Facial emotion recognition, convolutional neural networks BibRef

Gong, X.M.[Xiao-Min], Shen, H.Z.[Hui-Zhang], Han, X.[Xiao],
Influence of emotion and cognitive demand on frame effect in crisis decision-making,
PRL(116), 2018, pp. 262-265.
Elsevier DOI 1812
Crisis decision making, Frame effect, Emotion and cognition, Information dissemination BibRef

Hu, M.[Min], Wang, H.W.[Hao-Wen], Wang, X.H.[Xiao-Hua], Yang, J.[Juan], Wang, R.G.[Rong-Gui],
Video facial emotion recognition based on local enhanced motion history image and CNN-CTSLSTM networks,
JVCIR(59), 2019, pp. 176-185.
Elsevier DOI 1903
Video emotion recognition, Motion history image, LSTM, Facial landmarks BibRef

Navarathna, R., Carr, P., Lucey, P., Matthews, I.,
Estimating Audience Engagement to Predict Movie Ratings,
AffCom(10), No. 1, January 2019, pp. 48-59.
IEEE DOI 1903
Motion pictures, Biomedical monitoring, Music, Skin, Lighting, Face, Audience, behaviour, engagement, movie, film BibRef

Khan, G.[Gulraiz], Siddiqi, A.[Aiman], Khan, M.U.G.[Muhammad Usman Ghani], Wahla, S.Q.[Samyan Qayyum], Samyan, S.[Sahar],
Geometric positions and optical flow based emotion detection using MLP and reduced dimensions,
IET-IPR(13), No. 4, March 2019, pp. 634-643.
DOI Link 1903
BibRef

Zhou, Y.X.[Yu-Xiang], Deng, J.K.[Jian-Kang], Kotsia, I.[Irene], Zafeiriou, S.P.[Stefanos P.],
Dense 3D Face Decoding Over 2500FPS: Joint Texture and Shape Convolutional Mesh Decoders,
CVPR19(1097-1106).
IEEE DOI 2002
BibRef

Barrett, L.F., Adolphs, R., Marsella, S., Martinez, A., Pollak, S.D.,
Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements,
OtherPsychological Science in the Public Interest 2018.
WWW Link. 1907
BibRef

Hu, M.[Min], Chu, Q.[Qian], Wang, X.H.[Xiao-Hua], He, L.[Lei], Ren, F.[Fuji],
A Two-Stage Spatiotemporal Attention Convolution Network for Continuous Dimensional Emotion Recognition From Facial Video,
SPLetters(28), 2021, pp. 698-702.
IEEE DOI 2104
Feature extraction, Convolution, Emotion recognition, Spatiotemporal phenomena, Faces, Task analysis, Stacking, TCN BibRef

Ajili, I.[Insaf], Mallem, M.[Malik], Didier, J.Y.[Jean-Yves],
Human motions and emotions recognition inspired by LMA qualities,
VC(35), No. 10, October 2018, pp. 1411-1426.
WWW Link. 1909
BibRef

Peng, S.[Shuna], Dong, Y.[Yang], Wang, W.S.[Wei-Sha], Hu, J.Y.[Jie-Yi], Dong, W.Y.[Wei-Yang],
The affective facial recognition task: The influence of cognitive styles and exposure times,
JVCIR(65), 2019, pp. 102674.
Elsevier DOI 1912
Face recognition, Cognitive style, Face emotion BibRef

Tu, G., Fu, Y., Li, B., Gao, J., Jiang, Y., Xue, X.,
A Multi-Task Neural Approach for Emotion Attribution, Classification, and Summarization,
MultMed(22), No. 1, January 2020, pp. 148-159.
IEEE DOI 2001
Videos, Feature extraction, Emotion recognition, Task analysis, Visualization, Psychology, machine vision BibRef

Joseph, A.[Allen], Geetha, P.,
Facial emotion detection using modified eyemap-mouthmap algorithm on an enhanced image and classification with tensorflow,
VC(36), No. 3, March 2020, pp. 529-539.
WWW Link. 2002
BibRef

Sharma, K., Castellini, C., Stulp, F., van den Broek, E.L.,
Continuous, Real-Time Emotion Annotation: A Novel Joystick-Based Analysis Framework,
AffCom(11), No. 1, January 2020, pp. 78-84.
IEEE DOI 2003
Videos, Usability, Tools, Standards, Real-time systems, Support vector machines, Affective computing, pattern recognition BibRef

Liu, T., Wan, J., Dai, X., Liu, F., You, Q., Luo, J.,
Sentiment Recognition for Short Annotated GIFs Using Visual-Textual Fusion,
MultMed(22), No. 4, April 2020, pp. 1098-1110.
IEEE DOI 2004
Sentiment analysis, Visualization, Feature extraction, Streaming media, Semantics, Twitter, GIFs Sentiment, 3-D Convolution, Grid Searching BibRef

Haber, N., Voss, C., Wall, D.,
Making emotions transparent: Google Glass helps autistic kids understand facial expressions through augmented-reaiity therapy,
Spectrum(57), No. 4, April 2020, pp. 46-52.
IEEE DOI 2004
BibRef

Huddar, M.G.[Mahesh G.], Sannakki, S.S.[Sanjeev S.], Rajpurohit, V.S.[Vijay S.],
Multi-level context extraction and attention-based contextual inter-modal fusion for multimodal sentiment analysis and emotion classification,
MultInfoRetr(9), No. 2, June 2020, pp. 103-112.
Springer DOI 2005
BibRef

Varni, G., Hupont, I., Clavel, C., Chetouani, M.,
Computational Study of Primitive Emotional Contagion in Dyadic Interactions,
AffCom(11), No. 2, April 2020, pp. 258-271.
IEEE DOI 2006
Computational modeling, Mathematical model, Atmospheric measurements, Particle measurements, Synchronization, cross-recurrence quantification analysis BibRef

Mumenthaler, C., Sander, D., Manstead, A.S.R.,
Emotion Recognition in Simulated Social Interactions,
AffCom(11), No. 2, April 2020, pp. 308-312.
IEEE DOI 2006
Avatars, Emotion recognition, Face recognition, Cognitive processes, Emotion recognition, cognitive appraisal, social interaction BibRef

Savakar, D.G.[Dayanand G.], Hosur, R.[Ravi],
The 3D Emotion Recognition Using SVM and HoG Features,
IJIG(20), No. 3, July 2020, pp. 2050019.
DOI Link 2008
BibRef

Yi, Y.[Yun], Wang, H.L.[Han-Li], Li, Q.Y.[Qin-Yu],
Affective Video Content Analysis With Adaptive Fusion Recurrent Network,
MultMed(22), No. 9, September 2020, pp. 2454-2466.
IEEE DOI 2008
Adaptive systems, Correlation, Computer science, Motion pictures, Hidden Markov models, Support vector machines, Task analysis, multiple modalities BibRef

Steephen, J.E., Obbineni, S.C., Kummetha, S., Bapi, R.S.,
HED-ID: An Affective Adaptation Model Explaining the Intensity-Duration Relationship of Emotion,
AffCom(11), No. 4, October 2020, pp. 736-750.
IEEE DOI 2011
Affective adaptation, intensity and duration, modeling human emotion, region-ß paradox BibRef

Muszynski, M., Tian, L., Lai, C., Moore, J.D., Kostoulas, T., Lombardo, P., Pun, T., Chanel, G.,
Recognizing Induced Emotions of Movie Audiences from Multimodal Information,
AffCom(12), No. 1, January 2021, pp. 36-52.
IEEE DOI 2103
Motion pictures, Emotion recognition, Feature extraction, Physiology, Databases, Brain modeling, Analytical models, crowdsourcing BibRef

Kulkarni, K.[Kaustubh], Corneanu, C.A.[Ciprian Adrian], Ofodile, I.[Ikechukwu], Escalera, S.[Sergio], Baró, X.[Xavier], Hyniewska, S.[Sylwia], Allik, J.[Jüri], Anbarjafari, G.[Gholamreza],
Automatic Recognition of Facial Displays of Unfelt Emotions,
AffCom(12), No. 2, April 2021, pp. 377-390.
IEEE DOI 2106
Emotion recognition, Face recognition, Feature extraction, Face, Psychology, Observers, Trajectory, Affective computing, human behaviour analysis BibRef

Aylett, R.[Ruth], Ritter, C.[Christopher], Lim, M.Y.[Mei Yii], Broz, F.[Frank], McKenna, P.E.[Peter E.], Keller, I.[Ingo], Rajendran, G.[Gnanathusharan],
An Architecture for Emotional Facial Expressions as Social Signals,
AffCom(12), No. 2, April 2021, pp. 293-305.
IEEE DOI 2106
Appraisal, Robots, Face, Games, Computational modeling, Mirrors, Intelligent agents, cognitive informatics BibRef

Mittal, T.[Trisha], Bera, A.[Aniket], Manocha, D.[Dinesh],
Multimodal and Context-Aware Emotion Perception Model With Multiplicative Fusion,
MultMedMag(28), No. 2, April 2021, pp. 67-75.
IEEE DOI 2107
Emotion recognition, Context modeling, Computational modeling, Semantics, Feature extraction, Measurement, Additives, Perceived Emotion BibRef

Mittal, T., Guhan, P., Bhattacharya, U., Chandra, R., Bera, A.[Aniket], Manocha, D.[Dinesh],
EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle,
CVPR20(14222-14231)
IEEE DOI 2008
Emotion recognition, Videos, Psychology, TV, Semantics, Databases, Benchmark testing BibRef

Wang, X.Z.[Xin-Zhi], Chang, Y.D.[Yu-Dong], Sugumaran, V.[Vijayan], Luo, X.F.[Xiang-Feng], Wang, P.[Peng], Zhang, H.[Hui],
Implicit Emotion Relationship Mining Based on Optimal and Majority Synthesis From Multimodal Data Prediction,
MultMedMag(28), No. 2, April 2021, pp. 96-105.
IEEE DOI 2107
Emotion recognition, Predictive models, Data models, Computational modeling, Psychology, Feature extraction, Brain modeling BibRef

Yin, G.H.[Guang-Hao], Sun, S.Q.[Shou-Qian], Zhang, H.[Hui], Yu, D.[Dian], Li, C.[Chao], Zhang, K.J.[Ke-Jun], Zou, N.[Ning],
User Independent Emotion Recognition with Residual Signal-Image Network,
ICIP19(3277-3281)
IEEE DOI 1910
Emotion Recognition, Multi-feature Fusion, Residual Signal Image Network BibRef

Du, Z.Y.[Zheng-Yin], Wu, S.[Suowei], Huang, D.[Di], Li, W.X.[Wei-Xin], Wang, Y.H.[Yun-Hong],
Spatio-Temporal Encoder-Decoder Fully Convolutional Network for Video-Based Dimensional Emotion Recognition,
AffCom(12), No. 3, July 2021, pp. 565-578.
IEEE DOI 2109
Emotion recognition, Convolution, Decoding, Feature extraction, Videos, Visualization, Task analysis, temporal intermediate supervision BibRef

Li, W.X.[Wei-Xin], Dong, X.[Xuan], Wang, Y.H.[Yun-Hong],
Human Emotion Recognition With Relational Region-Level Analysis,
AffCom(14), No. 1, January 2023, pp. 650-663.
IEEE DOI 2303
Emotion recognition, Faces, Feature extraction, Face recognition, Semantics, Geometry, Target recognition, Human emotion recognition, emotion label dependency modeling BibRef

Fujii, K.[Katsuya], Sugimura, D.[Daisuke], Hamamoto, T.[Takayuki],
Hierarchical Group-Level Emotion Recognition,
MultMed(23), 2021, pp. 3892-3906.
IEEE DOI 2110
Emotion recognition, Faces, Facial features, Visualization, Semantics, Face recognition, Feature extraction, scene features BibRef

Pei, E.[Ercheng], Oveneke, M.C.[Meshia Cédric], Zhao, Y.[Yong], Jiang, D.M.[Dong-Mei], Sahli, H.[Hichem],
Monocular 3D Facial Expression Features for Continuous Affect Recognition,
MultMed(23), 2021, pp. 3540-3550.
IEEE DOI 2110
Face recognition, Feature extraction, Solid modeling, Emotion recognition, Optical imaging, Strain, continuous affect recognition BibRef

Ghosh, S.[Surjya], Ganguly, N.[Niloy], Mitra, B.[Bivas], De, P.[Pradipta],
Designing an Experience Sampling Method for Smartphone Based Emotion Detection,
AffCom(12), No. 4, October 2021, pp. 913-927.
IEEE DOI 2112
Smart phones, Behavioral sciences, Sensors, Time-frequency analysis, Mobile handsets, Sampling methods, emotion detection BibRef

Zhang, J.[Jing], Liu, X.Y.[Xin-Yu], Wang, Z.[Zhe], Yang, H.[Hai],
Graph-Based Object Semantic Refinement for Visual Emotion Recognition,
CirSysVideo(32), No. 5, May 2022, pp. 3036-3049.
IEEE DOI 2205
Visualization, Semantics, Feature extraction, Emotion recognition, Analytical models, Predictive models, Neural networks, visual emotion recognition BibRef

Ayari, N., Abdelkawy, H., Chibani, A., Amirat, Y.,
Hybrid Model-Based Emotion Contextual Recognition for Cognitive Assistance Services,
Cyber(52), No. 5, May 2022, pp. 3567-3576.
IEEE DOI 2206
Emotion recognition, Robots, Ontologies, Hidden Markov models, Cognition, Face recognition, Context modeling, ubiquitous robotics BibRef

Xing, S.L.[Song-Long], Mai, S.[Sijie], Hu, H.F.[Hai-Feng],
Adapted Dynamic Memory Network for Emotion Recognition in Conversation,
AffCom(13), No. 3, July 2022, pp. 1426-1439.
IEEE DOI 2209
Emotion recognition, Adaptation models, Task analysis, Computational modeling, Psychology, Convolution, Memory modules, multimodal feature fusion BibRef

Fu, Y.H.[Ya-Hui], Okada, S.[Shogo], Wang, L.B.[Long-Biao], Guo, L.[Lili], Song, Y.D.[Yao-Dong], Liu, J.X.[Jia-Xing], Dang, J.W.[Jian-Wu],
Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition,
MultMedMag(29), No. 3, July 2022, pp. 91-100.
IEEE DOI 2209
Emotion recognition, Context modeling, Semantics, Oral communication, Knowledge based systems, Task analysis, Social networking (online) BibRef

Wang, Z.L.[Zi-Li], Lao, L.J.[Ling-Jie], Zhang, X.Y.[Xiao-Ya], Li, Y.[Yong], Zhang, T.[Tong], Cui, Z.[Zhen],
Context-dependent emotion recognition,
JVCIR(89), 2022, pp. 103679.
Elsevier DOI 2212
Context-based Emotion Recognition, Tubal Transformer, Hierarchical Fusion, Affective Computing BibRef

Yan, W.J.[Wen-Jing], Ruan, Q.N.[Qian-Nan], Fu, X.L.[Xiao-Lan], Sun, Y.Q.[Yu-Qi],
Perceived emotions and AU combinations in ambiguous facial expressions,
PRL(164), 2022, pp. 74-80.
Elsevier DOI 2212
Ambiguous facial expressions, Perceived emotion, Action unit (AU), Network analysis BibRef

Tan, X.H.[Xiao-Hui], Fan, Y.C.[Ya-Chun], Sun, M.R.[Ming-Rui], Zhuang, M.Q.[Mei-Qi], Qu, F.B.[Fang-Bing],
An emotion index estimation based on facial action unit prediction,
PRL(164), 2022, pp. 183-190.
Elsevier DOI 2212
Affective computing, Emotion index estimation, Facial action units prediction, Convolutional neutral network BibRef

Pei, E.[Ercheng], Zhao, Y.[Yong], Oveneke, M.C.[Meshia Cédric], Jiang, D.M.[Dong-Mei], Sahli, H.[Hichem],
A Bayesian Filtering Framework for Continuous Affect Recognition From Facial Images,
MultMed(25), 2023, pp. 3709-3722.
IEEE DOI 2310
BibRef

Liao, J.C.[Jia-Cheng], Hao, Y.[Yan], Zhou, Z.Y.[Zhuo-Yi], Pan, J.H.[Jia-Hui], Liang, Y.[Yan],
Sequence-level affective level estimation based on pyramidal facial expression features,
PR(145), 2024, pp. 109958.
Elsevier DOI 2311
Sequence-level affective level estimation, Facial expression features pyramid network, Temporal transformer encoder BibRef

Li, J.L.[Jeng-Lin], Lee, C.C.[Chi-Chun],
An Enroll-to-Verify Approach for Cross-Task Unseen Emotion Class Recognition,
AffCom(14), No. 4, October 2023, pp. 3066-3077.
IEEE DOI 2312
BibRef

Deng, S.[Sinuo], Wu, L.F.[Li-Fang], Shi, G.[Ge], Xing, L.[Lehao], Hu, W.J.[Wen-Jin], Zhang, H.[Heng], Xiang, Y.[Ye],
Simple But Powerful, a Language-Supervised Method for Image Emotion Classification,
AffCom(14), No. 4, October 2023, pp. 3317-3331.
IEEE DOI 2312
BibRef

Wang, Z.Y.[Zhe-Yu], Zheng, J.Y.[Jie-Ying], Liu, F.[Feng],
Improvement of continuous emotion recognition of temporal convolutional networks with incomplete labels,
IET-IPR(18), No. 4, 2024, pp. 914-925.
DOI Link 2403
convolutional neural nets, emotion recognition BibRef

Bisogni, C.[Carmen], Cascone, L.[Lucia], Nappi, M.[Michele], Pero, C.[Chiara],
POSER: POsed vs Spontaneous Emotion Recognition using fractal encoding,
IVC(144), 2024, pp. 104952.
Elsevier DOI 2404
Emotion recognition, Face recognition, Partitioned iterated function systems, Fractal encoding, Spontaneous emotions BibRef

Wang, X.Z.[Xing-Zhi], Zhang, D.[Dong], Lee, D.J.[Dah-Jye],
Implementing the Affective Mechanism for Group Emotion Recognition With a New Graph Convolutional Network Architecture,
AffCom(15), No. 3, July 2024, pp. 1104-1115.
IEEE DOI 2409
Emotion recognition, Psychology, Computational modeling, Convolutional neural networks, Image recognition, pattern recognition BibRef

Bota, P.[Patrícia], Cesar, P.[Pablo], Fred, A.[Ana], da Silva, H.P.[Hugo Plácido],
Exploring Retrospective Annotation in Long-Videos for Emotion Recognition,
AffCom(15), No. 3, July 2024, pp. 1514-1525.
IEEE DOI 2409
Annotations, Streaming media, Real-time systems, Emotion recognition, Motion pictures, Physiology, retrospective BibRef

Yi, Y.[Yun], Zhou, J.[Jin], Wang, H.[Hanli], Tang, P.J.[Peng-Jie], Wang, M.[Min],
Emotion recognition in user-generated videos with long-range correlation-aware network,
IET-IPR(18), No. 12, 2024, pp. 3288-3301.
DOI Link Code:
WWW Link. 2411
emotion recognition, video signal processing BibRef

Yang, D.K.[Ding-Kang], Yang, K.[Kun], Kuang, H.P.[Hao-Peng], Chen, Z.Y.[Zhao-Yu], Wang, Y.Z.[Yu-Zheng], Zhang, L.H.[Li-Hua],
Towards Context-Aware Emotion Recognition Debiasing From a Causal Demystification Perspective via De-Confounded Training,
PAMI(46), No. 12, December 2024, pp. 10663-10680.
IEEE DOI 2411
Emotion recognition, Entropy, Context modeling, Training, Task analysis, Predictive models, Semantics, de-confounded training BibRef

Roy, A.K.[Arnab Kumar], Kathania, H.K.[Hemant Kumar], Sharma, A.[Adhitiya], Dey, A.[Abhishek], Ansari, M.S.A.[Md. Sarfaraj Alam],
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition,
SPLetters(32), 2025, pp. 491-495.
IEEE DOI 2501
Emotion recognition, Feature extraction, Convolutional neural networks, Accuracy, Training, residual network BibRef

Liu, Y.Y.[Yuan-Yuan], Zhang, H.Y.[Hao-Yu], Zhan, Y.B.[Yi-Bing], Chen, Z.J.[Zi-Jing], Yin, G.H.[Guang-Hao], Wei, L.[Lin], Chen, Z.[Zhe],
Noise-Resistant Multimodal Transformer for Emotion Recognition,
IJCV(133), No. 5, May 2025, pp. 3020-3040.
Springer DOI 2504
BibRef

Simsek, E.[Ecem], Topcu, A.[Atakan], Koç, E.[Emirhan], Saritas, E.U.[Emine Ulku], Koç, A.[Aykut],
Emotion Classification With Visibility Graphs,
SPLetters(32), 2025, pp. 2055-2059.
IEEE DOI 2505
Vectors, Transformers, Time series analysis, Training, Context modeling, Computational modeling, Topology, Indexes, graph neural networks (GNNs) BibRef

Gan, Y.L.[Yan-Ling], Xu, L.[Luhui], Song, S.X.[Shu-Xiang], Tao, X.M.[Xiao-Mei],
Context transformer with multiscale fusion for robust facial emotion recognition,
PR(167), 2025, pp. 111720.
Elsevier DOI 2506
Emotion recognition, Multiscale fusion, Shared position space, Context transformer BibRef

Blanchini, M.[Marco], Dimitri, G.[Giovanna], Abady, L.[Lydia], Tondi, B.[Benedetta], Lancioni, T.[Tarcisio], Barni, M.[Mauro],
Semiotic-Based Construction of a Large Emotional Image Dataset with Neutral Samples,
WACV25(7552-7561)
IEEE DOI 2505
Sentiment analysis, Visualization, Art, Annotations, Manuals, Coherence, Observers, Semiotics, Labeling BibRef

Wang, Z.F.[Zhi-Feng], Zhang, K.[Kaihao], Sankaranarayana, R.[Ramesh],
Lrdif: Diffusion Models for Under-Display Camera Emotion Recognition,
ICIP24(2048-2054)
IEEE DOI 2411
Training, Degradation, Emotion recognition, Face recognition, Noise, Benchmark testing, Transformers, under-display camera (UDC), diffusion model BibRef

Hassan, S.[Saif], Ullah, M.[Mohib], Imran, A.S.[Ali Shariq], Mujtaba, G.[Ghulam], Yamin, M.M.[Muhammad Mudassar], Hashmi, E.[Ehtesham], Cheikh, F.A.[Faouzi Alaya], Beghdadi, A.[Azeddine],
A Self-Supervised Diffusion Framework for Facial Emotion Recognition,
ICIP24(465-471)
IEEE DOI 2411
Neurological diseases, Emotion recognition, Solid modeling, Attention mechanisms, Accuracy, Image recognition, facial emotion recognition BibRef

Yang, D.K.[Ding-Kang], Yang, K.[Kun], Li, M.C.[Ming-Cheng], Wang, S.L.[Shun-Li], Wang, S.B.[Shuai-Bing], Zhang, L.H.[Li-Hua],
Robust Emotion Recognition in Context Debiasing,
CVPR24(12447-12457)
IEEE DOI 2410
Emotion recognition, Correlation, Computational modeling, Prevention and mitigation, Estimation, Interference, Counterfactual inference BibRef

Wagner, N.[Niklas], Mätzler, F.[Felix], Vossberg, S.R.[Samed R.], Schneider, H.[Helen], Pavlitska, S.[Svetlana], Zöllner, J.M.[J. Marius],
CAGE: Circumplex Affect Guided Expression Inference,
ABAW24(4683-4692)
IEEE DOI Code:
WWW Link. 2410
Training, Analytical models, Computational modeling, Predictive models, Expression Inference, Transformer BibRef

Kollias, D.[Dimitrios], Tzirakis, P.[Panagiotis], Cowen, A.[Alan], Zafeiriou, S.[Stefanos], Kotsia, I.[Irene], Baird, A.[Alice], Gagne, C.[Chris], Shao, C.[Chunchang], Hu, G.[Guanyu],
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition,
ABAW24(4587-4598)
IEEE DOI Code:
WWW Link. 2410
Measurement, Emotion recognition, Protocols, Target recognition, Databases, ABAW, Aff-Wild2, C-EXPR-DB, emotional mimicry BibRef

Paskaleva, R.[Reni], Holubakha, M.[Mykyta], Ilic, A.[Andela], Motamed, S.[Saman], Van Gool, L.J.[Luc J.], Paudel, D.[Danda],
A Unified and Interpretable Emotion Representation and Expression Generation,
CVPR24(2447-2456)
IEEE DOI 2410
Ethics, Emotion recognition, Computational modeling, Diffusion models, Vectors, Emotion understanding, Affective computing BibRef

Demir, D.[Doganay], Elkahlout, I.D.[Ilknur Durgar],
A Study on End-to-End Face Analysis: How to Cope with Challenges,
FG24(1-10)
IEEE DOI 2408
Emotion recognition, Accuracy, TV, Face recognition, Scalability, Pipelines BibRef

Yang, J.Y.[Jing-Yuan], Huang, Q.[Qirui], Ding, T.T.[Ting-Ting], Lischinski, D.[Dani], Cohen-Or, D.[Daniel], Huang, H.[Hui],
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes,
ICCV23(20326-20337)
IEEE DOI Code:
WWW Link. 2401
BibRef

de Carolis, B.[Berardina], Macchiarulo, N.[Nicola], Palestra, G.[Giuseppe], de Matteis, A.P.[Alberto Pio], Lippolis, A.[Andrea],
Fermouth: Facial Emotion Recognition from the Mouth Region,
CIAP23(I:147-158).
Springer DOI 2312
BibRef

Zhang, S.[Su], Zhao, Z.Y.[Zi-Yuan], Guan, C.T.[Cun-Tai],
Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5,
ABAW23(5764-5769)
IEEE DOI 2309
BibRef

de Lima-Costa, W.[Willams], Martínez, E.T.[Estefania Talavera], Figueiredo, L.S.[Lucas Silva], Teichrieb, V.[Veronica],
High-level context representation for emotion recognition in images,
LXCV23(326-334)
IEEE DOI 2309
BibRef

Yang, D.K.[Ding-Kang], Chen, Z.Y.[Zhao-Yu], Wang, Y.Z.[Yu-Zheng], Wang, S.L.[Shun-Li], Li, M.C.[Ming-Cheng], Liu, S.[Siao], Zhao, X.[Xiao], Huang, S.[Shuai], Dong, Z.Y.[Zhi-Yan], Zhai, P.[Peng], Zhang, L.H.[Li-Hua],
Context De-Confounded Emotion Recognition,
CVPR23(19005-19015)
IEEE DOI 2309
BibRef

Yu, J.[Jun], Zhu, J.C.[Ji-Chao], Zhu, W.Y.[Wang-Yuan], Cai, Z.P.[Zhong-Peng], Xie, G.C.[Guo-Chen], Li, R.[Renda], Zhao, G.P.[Gong-Peng], Ling, Q.[Qiang], Wang, L.[Lei], Wang, C.[Cong], Qiu, L.[Luyu], Zheng, W.[Wei],
A Dual Branch Network for Emotional Reaction Intensity Estimation,
ABAW23(5811-5818)
IEEE DOI 2309
BibRef

Qiu, F.[Feng], Zhang, W.[Wei], Liu, C.[Chen], Li, L.C.[Lin-Cheng], Du, H.M.[He-Ming], Guo, T.C.[Tian-Chen], Yu, X.[Xin],
Language-guided Multi-modal Emotional Mimicry Intensity Estimation,
ABAW24(4742-4751)
IEEE DOI 2410
Visualization, Emotion recognition, Fuses, Electromagnetic interference, Estimation, affective computing, emotional mimicry intensity estimation BibRef

Qiu, F.[Feng], Ma, B.[Bowen], Zhang, W.[Wei], Ding, Y.[Yu],
Multi-modal Emotion Reaction Intensity Estimation with Temporal Augmentation,
ABAW23(5777-5784)
IEEE DOI 2309
BibRef

Li, J.[Jia], Chen, Y.[Yin], Zhang, X.S.[Xue-Song], Nie, J.T.[Jian-Tao], Li, Z.Q.[Zi-Qiang], Yu, Y.C.[Yang-Chen], Zhang, Y.[Yan], Hong, R.C.[Ri-Chang], Wang, M.[Meng],
Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers,
ABAW23(5838-5844)
IEEE DOI 2309
BibRef

Fang, Y.[Yini], Wu, L.[Liang], Jumelle, F.[Frederic], Shi, B.[Bertram],
Integrating Holistic and Local Information to Estimate Emotional Reaction Intensity,
ABAW23(5934-5939)
IEEE DOI 2309
BibRef

Aslam, M.H.[Muhammad Haseeb], Zeeshan, M.O.[Muhammad Osama], Pedersoli, M.[Marco], Koerich, A.L.[Alessandro L.], Bacon, S.[Simon], Granger, E.[Eric],
Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild,
FGAHI23(3338-3347)
IEEE DOI 2309
BibRef

Lee, B.[Bokyeung], Shin, H.[Hyunuk], Ku, B.[Bonhwa], Ko, H.S.[Han-Seok],
Frame Level Emotion Guided Dynamic Facial Expression Recognition with Emotion Grouping,
ABAW23(5681-5691)
IEEE DOI 2309
BibRef

Sun, H.Y.[Hai-Yang], Lian, Z.[Zheng], Liu, B.[Bin], Tao, J.H.[Jian-Hua], Sun, L.[Licai], Cai, C.[Cong], He, Y.[Yu],
Two-aspect Information Interaction Model for ABAW4 Multi-task Challenge,
ABAWE22(173-180).
Springer DOI 2304
BibRef

Li, Y.F.[Yi-Fan], Sun, H.[Haomiao], Liu, Z.[Zhaori], Han, H.[Hu], Shan, S.G.[Shi-Guang],
Affective Behaviour Analysis Using Pretrained Model with Facial Prior,
ABAWE22(19-30).
Springer DOI 2304
BibRef

Mittel, A.[Akshita], Tripathi, S.[Shashank],
Peri: Part Aware Emotion Recognition in the Wild,
ABAWE22(76-92).
Springer DOI 2304
BibRef

Lee, H.[Hyungjun], Lim, H.[Hwangyu], Lim, S.[Sejoon],
Byel: Bootstrap Your Emotion Latent,
ABAWE22(121-131).
Springer DOI 2304
BibRef

Shahabinejad, M.[Mostafa], Wang, Y.[Yang], Yu, Y.H.[Yuan-Hao], Tang, J.[Jin], Li, J.[Jiani],
Toward Personalized Emotion Recognition: A Face Recognition Based Attention Method for Facial Emotion Recognition,
FG21(1-5)
IEEE DOI 2303
Emotion recognition, Face recognition, Gesture recognition, Convolutional neural networks, Task analysis BibRef

Pikoulis, I.[Ioannis], Filntisis, P.P.[Panagiotis P.], Maragos, P.[Petros],
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild,
FG21(01-08)
IEEE DOI 2303
Emotion recognition, Visualization, Motion segmentation, Semantics, Lighting, Gesture recognition, Feature extraction BibRef

Jia, G.[Guoli], Yang, J.F.[Ju-Feng],
S2-VER: Semi-supervised Visual Emotion Recognition,
ECCV22(XXXVII:493-509).
Springer DOI 2211
BibRef

Yang, D.K.[Ding-Kang], Huang, S.[Shuai], Wang, S.L.[Shun-Li], Liu, Y.[Yang], Zhai, P.[Peng], Su, L.Z.[Liu-Zhen], Li, M.C.[Ming-Cheng], Zhang, L.H.[Li-Hua],
Emotion Recognition for Multiple Context Awareness,
ECCV22(XXXVII:144-162).
Springer DOI 2211
BibRef

Bishay, M.[Mina], Turcot, J.[Jay], Page, G.[Graham], Mavadati, M.[Mohammad],
Automatic Detection of Sentimentality from Facial Expressions,
ICIP22(321-325)
IEEE DOI 2211
Training, Measurement, Gold, Emotion recognition, Multilayer perceptrons, Feature extraction, Sentimentality, Ad-level KPIs BibRef

Meng, L.[Liyu], Liu, Y.C.[Yu-Chen], Liu, X.L.[Xiao-Long], Huang, Z.P.[Zhao-Pei], Jiang, W.Q.[Wen-Qiang], Zhang, T.G.[Teng-Gan], Liu, C.[Chuanhe], Jin, Q.[Qin],
Valence and Arousal Estimation based on Multimodal Temporal-Aware Features for Videos in the Wild,
ABAW22(2344-2351)
IEEE DOI 2210
Correlation coefficient, Visualization, Smoothing methods, Fuses, Estimation, Predictive models, Transformers BibRef

Surabhi, S.[Saimourya], Shah, B.[Bhavik], Washington, P.[Peter], Mutlu, O.C.[Onur Cezmi], Leblanc, E.[Emilie], Mohite, P.[Prathamesh], Husic, A.[Arman], Kline, A.[Aaron], Dunlap, K.[Kaitlyn], McNealis, M.[Maya], Liu, B.[Bennett], Deveaux, N.[Nick], Sleiman, E.[Essam], Wall, D.P.[Dennis P.],
TikTok for good: Creating a diverse emotion expression database,
ABAW22(2495-2505)
IEEE DOI 2210
Bridges, Emotion recognition, Databases, Social networking (online), Face recognition BibRef

Stratton, D.[Derek], Hand, E.[Emily],
Bridging the Gap Between Automated and Human Facial Emotion Perception,
ABAW22(2400-2410)
IEEE DOI 2210
Emotion recognition, Uncertainty, Sociology, Psychology, Natural language processing BibRef

Ouzar, Y.[Yassine], Bousefsaf, F.[Frédéric], Djeldjli, D.[Djamaleddine], Maaoui, C.[Choubeila],
Video-based multimodal spontaneous emotion recognition using facial expressions and physiological signals,
ABAW22(2459-2468)
IEEE DOI 2210
Emotion recognition, Face recognition, Photoplethysmography, Feature extraction, Physiology, Spatiotemporal phenomena BibRef

Xu, L.W.[Li-Wen], Wang, Z.T.[Zheng-Tao], Wu, B.[Bin], Lui, S.[Simon],
MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis,
CVPR22(9469-9478)
IEEE DOI 2210
Bridges, Visualization, Correlation, Computational modeling, Semantics, Benchmark testing, Recognition: detection, retrieval BibRef

Pereira, L.[Lara], Brás, S.[Susana], Sebastião, R.[Raquel],
Characterization of Emotions Through Facial Electromyogram Signals,
IbPRIA22(230-241).
Springer DOI 2205
BibRef

Zhang, S.W.[Si-Wei], Huang, Z.W.[Zhi-Wu], Paudel, D.P.[Danda Pani], Van Gool, L.J.[Luc J.],
Facial Emotion Recognition with Noisy Multi-task Annotations,
WACV21(21-31)
IEEE DOI 2106
Emotion recognition, Correlation, Annotations, Games, Encoding BibRef

Kolling, C.[Camila], Araujo, V.[Victor], Barros, R.C.[Rodrigo C.], Musse, S.R.[Soraia Raupp],
How Does Computer Animation Affect Our Perception of Emotions in Video Summarization?,
ISVC20(II:374-385).
Springer DOI 2103
BibRef

Shehu, H.A.[Harisu Abdullahi], Browne, W.[Will], Eisenbarth, H.[Hedwig],
Emotion Categorization from Video-frame Images Using a Novel Sequential Voting Technique,
ISVC20(II:618-632).
Springer DOI 2103
BibRef

Savchenko, A.V.[Andrey V.],
Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNets,
ABAW22(2358-2365)
IEEE DOI 2210
Emotion recognition, Analytical models, Computational modeling, Multitasking, Feature extraction, Real-time systems, Mobile handsets BibRef

Demochkina, P.[Polina], Savchenko, A.V.[Andrey V.],
Mobileemotiface: Efficient Facial Image Representations in Video-based Emotion Recognition on Mobile Devices,
IMTA20(266-274).
Springer DOI 2103
BibRef

Haddad, J.[Jad], Lezoray, O.[Olivier], Hamel, P.[Philippe],
3D-CNN for Facial Emotion Recognition in Videos,
ISVC20(II:298-309).
Springer DOI 2103
BibRef

Kota, V., Gali, G.M., Nwogu, I.,
A Computational View of the Emotional Regulation of Disgust using Multimodal Sensors,
FG20(567-571)
IEEE DOI 2102
biomechanics, cognition, electrocardiography, electromyography, emotion recognition, face recognition, medical signal processing, disgust emotion BibRef

Happy, S., Dantcheva, A., Bremond, F.,
Semi-supervised Emotion Recognition using Inconsistently Annotated Data,
FG20(286-293)
IEEE DOI 2102
Data models, Adaptation models, Training, Predictive models, Noise measurement, Face recognition, Emotion recognition BibRef

Zhang, Z., Yi, M., Xu, J., Zhang, R., Shen, J.,
Two-stage Recognition and Beyond for Compound Facial Emotion Recognition,
FG20(900-904)
IEEE DOI 2102
Gesture recognition, Face recognition, emotion recognition BibRef

Luo, Z., Zhang, Z.,
Challenge report: Compound Emotion challenge,
FG20(905-907)
IEEE DOI 2102
Training, Gesture recognition, Face recognition BibRef

Viegas, C.,
Two Stage Emotion Recognition using Frame-level and Video-level Features,
FG20(912-915)
IEEE DOI 2102
Support vector machines, Radio frequency, Feature extraction, Emotion recognition, Training, emotion recognition BibRef

Deng, D., Chen, Z., Shi, B.E.,
Multitask Emotion Recognition with Incomplete Labels,
FG20(592-599)
IEEE DOI 2102
Task analysis, Gold, Estimation, Training, Emotion recognition, Feature extraction, Correlation, Emotion Recognition, Incomplete Label BibRef

Happy, S.L., Dantcheva, A., Das, A., Bremond, F., Zeghari, R., Robert, P.,
Apathy Classification by Exploiting Task Relatedness,
FG20(489-494)
IEEE DOI 2102
Task analysis, Videos, Face recognition, Histograms, Feature extraction, Emotional responses, Visualization, task relatedness BibRef

Liu, J., Foged, I.W., Moeslund, T.B.,
Vision-based Individual Factors Acquisition for Thermal Comfort Assessment in a Built Environment,
FG20(662-666)
IEEE DOI 2102
Videos, Temperature measurement, Training, Optical imaging, Skin, HVAC, Thermometers BibRef

Kollias, D., Schulc, A., Hajiyev, E., Zafeiriou, S.,
Analysing Affective Behavior in the First ABAW 2020 Competition,
FG20(637-643)
IEEE DOI 2102
Videos, Annotations, Gold, Databases, Training, Task analysis, Face recognition, valence, arousal, basic expressions, action units, mobilenet BibRef

Kuhnke, F., Rumberg, L., Ostermann, J.[Jörn],
Two-Stream Aural-Visual Affect Analysis in the Wild,
FG20(600-605)
IEEE DOI 2102
Videos, Training, Task analysis, Visualization, Streaming media, Face recognition, expression recognition, action units, emotion recognition BibRef

Lei, S., Stefanov, K., Gratch, J.,
Emotion or expressivity? An automated analysis of nonverbal perception in a social dilemma,
FG20(544-551)
IEEE DOI 2102
Videos, Observers, Face recognition, Games, Tools, Standards, Protocols BibRef

Li, B.H.[Bing-Hua], Li, C.[Chao], Duan, F.[Feng], Zheng, N.[Ning], Zhao, Q.B.[Qi-Bin],
TPFN: Applying Outer Product Along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data,
ECCV20(XXIV:431-447).
Springer DOI 2012
BibRef

Lim, L., Khor, H.Q., Chaemchoy, P., See, J., Wong, L.K.,
Where Is The Emotion? Dissecting A Multi-Gap Network For Image Emotion Classification,
ICIP20(1886-1890)
IEEE DOI 2011
Feature extraction, Visualization, Neural networks, Streaming media, Emotion recognition, Psychology, Robustness, class activation maps BibRef

Chouhayebi, H., Riffi, J., Mahraz, M.A., Yahyaouy, A., Tairi, H., Alioua, N.,
Facial expression recognition based on geometric features,
ISCV20(1-6)
IEEE DOI 2011
emotion recognition, face recognition, feature extraction, image classification, support vector machines, diverse emotions, SVM BibRef

Kossaifi, J., Toisoul, A., Bulat, A., Panagakis, Y., Hospedales, T.M., Pantic, M.,
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation,
CVPR20(6059-6068)
IEEE DOI 2008
Tensile stress, Kernel, Estimation, Training, Videos, Neural networks BibRef

Zheng, R.L.[Ruo-Lin], Li, W.X.[Wei-Xin], Wang, Y.H.[Yun-Hong],
Visual Sentiment Analysis by Leveraging Local Regions and Human Faces,
MMMod20(I:303-314).
Springer DOI 2003
BibRef

Mo, S.[Siyi], Yang, W.M.[Wen-Ming], Wang, G.J.[Gui-Jin], Liao, Q.M.[Qing-Min],
Emotion Recognition with Facial Landmark Heatmaps,
MMMod20(I:278-289).
Springer DOI 2003
BibRef

Moroto, Y., Maeda, K., Ogawa, T., Haseyama, M.,
Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis,
ICIP19(4105-4109)
IEEE DOI 1910
Emotion estimation, eye gaze, spatiotemporal visual attention analysis, tensor analysis BibRef

Li, Y.Y.[Yan-Ying], Cheng, H.J.[Hsin-Jung], Liu, Y.[Yen], Shen, C.T.[Chih-Tsung],
Edge-Computing Convolutional Neural Network with Homography-Augmented Data for Facial Emotion Recognition,
ICIP19(3287-3291)
IEEE DOI 1910
Face Recognition, Convolutional Neural Network, ASIC, VPU BibRef

Pandey, R.K.[Ram Krishna], Karmakar, S.[Souvik], Ramakrishnan, A.G., Saha, N.,
Improving Facial Emotion Recognition Systems with Crucial Feature Extractors,
CIAP19(I:268-279).
Springer DOI 1909
BibRef

Aminbeidokhti, M.[Masih], Pedersoli, M.[Marco], Cardinal, P.[Patrick], Granger, E.[Eric],
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling,
ICIAR19(I:323-331).
Springer DOI 1909
BibRef

Zhu, X.L.[Xue-Lin], Cao, B.W.[Bi-Wei], Xu, S.[Shuai], Liu, B.[Bo], Cao, J.X.[Jiu-Xin],
Joint Visual-Textual Sentiment Analysis Based on Cross-Modality Attention Mechanism,
MMMod19(I:264-276).
Springer DOI 1901
BibRef

Gonzalez-Diaz, R.[Rocio], Paluzo-Hidalgo, E.[Eduardo], Quesada, J.F.[José F.],
Towards Emotion Recognition: A Persistent Entropy Application,
CTIC19(96-109).
Springer DOI 1901
BibRef

Kumar, R.K., Garain, J., Kisku, D.R., Sanyal, G.,
Estimating Attention of Faces Due to its Growing Level of Emotions,
Cognitive18(2033-20338)
IEEE DOI 1812
Feature extraction, Training, Databases, Task analysis, Visualization, Convolution, Testing BibRef

Xu, J., Dong, Y., Ma, L., Bai, H.,
Video-based Emotion Recognition using Aggregated Features and Spatio-temporal Information,
ICPR18(2833-2838)
IEEE DOI 1812
Feature extraction, Videos, Emotion recognition, Task analysis, Face recognition, Face BibRef

Tautkute, I., Trzcinski, T., Bielski, A.,
I Know How You Feel: Emotion Recognition with Facial Landmarks,
WiCV18(1959-19592)
IEEE DOI 1812
Emotion recognition, Task analysis, Face, Face recognition, Convolutional neural networks, Databases BibRef

Yagis, E.[Ekin], Unel, M.[Mustafa],
Facial Expression Based Emotion Recognition Using Neural Networks,
ICIAR18(210-217).
Springer DOI 1807
BibRef

Abuhammad, H.[Huthaifa], Everson, R.[Richard],
Emotional Faces in the Wild: Feature Descriptors for Emotion Classification,
ICIAR18(164-174).
Springer DOI 1807
BibRef

Gaus, Y.F.A., Meng, H.,
Linear and Non-Linear Multimodal Fusion for Continuous Affect Estimation In-the-Wild,
FG18(492-498)
IEEE DOI 1806
Correlation, Emotion recognition, Estimation, Feature extraction, Linear regression, Mathematical model, Predictive models, affect, non-linear BibRef

Shamsi, S.N., Singh, B.P., Wadhwa, M.,
Group Affect Prediction Using Multimodal Distributions,
Assist18(77-83)
IEEE DOI 1806
convolution, emotion recognition, feature extraction, feedforward neural nets, object detection, CNN model, Training BibRef

Kowalski, M., Nasarzewski, Z., Galinski, G., Garbat, P.,
HoloFace: Augmenting Human-to-Human Interactions on HoloLens,
WACV18(141-149)
IEEE DOI 1806
emotion recognition, face recognition, pose estimation, solid modelling, HoloFace framework, HoloLens user, BibRef

Knyazev, B., Shvetsov, R., Efremova, N., Kuharenko, A.,
Leveraging Large Face Recognition Data for Emotion Classification,
FG18(692-696)
IEEE DOI 1806
Emotion recognition, Face, Face recognition, Support vector machines, Task analysis, Training, Videos, video processing BibRef

Loob, C.[Christer], Rasti, P.[Pejman], Lüsi, I.[Iiris], Jacques Junior, J.C.S.[Julio C.S.], Baró, X.[Xavier], Escalera, S.[Sergio], Sapinski, T.[Tomasz], Kaminska, D.[Dorota], Anbarjafari, G.[Gholamreza],
Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification,
FG17(833-838)
IEEE DOI 1707
Databases, Emotion recognition, Face, Face recognition, Feature extraction, Kernel, Support vector machines BibRef

Kim, Y.G., Huynh, X.P.,
Discrimination Between Genuine Versus Fake Emotion Using Long-Short Term Memory with Parametric Bias and Facial Landmarks,
EmotionComp17(3065-3072)
IEEE DOI 1802
Boosting, Emotion recognition, Face, Face recognition, Mirrors, Neurons, Training BibRef

Li, L., Baltrusaitis, T., Sun, B., Morency, L.P.,
Combining Sequential Geometry and Texture Features for Distinguishing Genuine and Deceptive Emotions,
EmotionComp17(3147-3153)
IEEE DOI 1802
Emotion recognition, Face, Image reconstruction, Logic gates, Mathematical model, Visualization BibRef

Li, J.S.[Jian-Shu], Chen, Y.P.[Yun-Peng], Xiao, S.T.[Sheng-Tao], Zhao, J.[Jian], Roy, S.[Sujoy], Feng, J.S.[Jia-Shi], Yan, S.C.[Shui-Cheng], Sim, T.[Terence],
Estimation of Affective Level in the Wild with Multiple Memory Networks,
FaceWild17(1947-1954)
IEEE DOI 1709
Bidirectional control, Estimation, Face, Feature extraction, Neural networks, Predictive models, Training
See also Task Relation Networks. BibRef

Ruiz, A.[Adria], Martinez, O.[Oriol], Binefa, X.[Xavier], Sukno, F.M.[Federico M.],
Fusion of Valence and Arousal Annotations through Dynamic Subjective Ordinal Modelling,
FG17(331-338)
IEEE DOI 1707
Reliable ground truth. Affective computing, Context, Labeling, Observers, Training, Videos BibRef

McDuff, D.J., Soleymani, M.,
Large-scale Affective Content Analysis: Combining Media Content Features and Facial Reactions,
FG17(339-345)
IEEE DOI 1707
Encoding, Feature extraction, Media, Software, Tagging, Videos, Visualization BibRef

Talavera, E.[Estefania], Strisciuglio, N.[Nicola], Petkov, N.[Nicolai], Radeva, P.[Petia],
Sentiment Recognition in Egocentric Photostreams,
IbPRIA17(471-479).
Springer DOI 1706
BibRef

Zhao, K.[Kun], Yang, S.Q.[Si-Qi], Wiliem, A., Lovell, B.C.,
Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition,
ICPR16(1095-1100)
IEEE DOI 1705
Emotion recognition, Feature extraction, Kernel, Manifolds, Measurement, Shape, Support, vector, machines BibRef

Laranjeira, A.[Ana], Frazão, X.[Xavier], Pimentel, A.[André], Ribeiro, B.[Bernardete],
How Deep Can We Rely on Emotion Recognition,
CIARP16(511-520).
Springer DOI 1703
BibRef

Niu, J.W.[Jian-Wei], Su, Y.M.[Yi-Ming], Mo, S.S.[Sha-Sha], Zhu, Z.Y.[Ze-Yu],
A Novel Affective Visualization System for Videos Based on Acoustic and Visual Features,
MMMod17(II: 15-27).
Springer DOI 1701
BibRef

Wang, G.L.[Guo-Long], Qin, Z.[Zheng], Xu, K.P.[Kai-Ping],
Recognizing Emotions Based on Human Actions in Videos,
MMMod17(II: 306-317).
Springer DOI 1701
BibRef

Mou, W., Gunes, H.[Hatice], Patras, I.,
Automatic Recognition of Emotions and Membership in Group Videos,
Affect16(1478-1486)
IEEE DOI 1612
BibRef

Benitez-Quiroz, C.F., Srinivasan, R., Martinez, A.M.,
EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild,
CVPR16(5562-5570)
IEEE DOI 1612
BibRef

Allaert, B.[Benjamin], Mennesson, J.[José], Bilasco, I.M.[Ioan Marius],
EmoGame: Towards a Self-Rewarding Methodology for Capturing Children Faces in an Engaging Context,
HBU16(3-14).
Springer DOI 1611
BibRef

Mennesson, J.[José], Allaert, B.[Benjamin], Bilasco, I.M.[Ioan Marius], van der Aa, N., Denis, A., Cruz-Lara, S.,
Faces and thoughts: An empathic dairy,
FG15(1-1)
IEEE DOI 1508
cameras BibRef

Peng, K.C., Sadovnik, A., Gallagher, A., Chen, T.,
Where do emotions come from? Predicting the Emotion Stimuli Map,
ICIP16(614-618)
IEEE DOI 1610
Benchmark testing BibRef

Zhang, H., Xu, M.,
Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos,
ICIP16(629-633)
IEEE DOI 1610
Discrete Fourier transforms BibRef

Khan, R.A.[Rizwan Ahmed], Meyer, A.[Alexandre], Bouakaz, S.[Saida],
Automatic Affect Analysis: From Children to Adults,
ISVC15(II: 304-313).
Springer DOI 1601
BibRef

Ding, X.M.[Xin-Miao], Huang, L.[Lulu], Li, B.[Bing], Lang, C.Y.[Cong-Yan], Hua, Z.[Zhen], Wang, Y.L.[Yu-Ling],
A Novel Emotional Saliency Map to Model Emotional Attention Mechanism,
MMMod16(II: 197-206).
Springer DOI 1601
BibRef

Happy, S.L., Routray, A.,
Robust facial expression classification using shape and appearance features,
ICAPR15(1-5)
IEEE DOI 1511
emotion recognition BibRef

Chen, H.C.[Hsieh-Chung], Comiter, M.Z.[Marcus Z.], Kung, H.T., McDanel, B.[Bradley],
Sparse Coding Trees with application to emotion classification,
AMFG15(77-86)
IEEE DOI 1510
Accuracy BibRef

Chen, H.[Hui], Li, J.D.[Jiang-Dong], Zhang, F.J.[Feng-Jun], Li, Y.[Yang], Wang, H.A.[Hong-An],
3D model-based continuous emotion recognition,
CVPR15(1836-1845)
IEEE DOI 1510
BibRef

Alashkar, T.[Taleb], Ben Amor, B.[Boulbaba], Berretti, S.[Stefano], Daoudi, M.[Mohamed],
Analyzing trajectories on Grassmann manifold for early emotion detection from depth videos,
FG15(1-6)
IEEE DOI 1508
emotion recognition
See also Grassmann framework for 4D facial shape analysis, A. BibRef

Save, M., Zazula, D., Munda, J., Potocnik, B.,
Semi-transparent mirror with hidden camera to assess human emotions,
FG15(1-1)
IEEE DOI 1508
emotion recognition BibRef

Chen, J.X.[Ji-Xu], Chang, M.C.[Ming-Ching], Tu, P.,
A live video analytic system for affect analysis in public space,
FG15(1-1)
IEEE DOI 1508
emotion recognition BibRef

Vieriu, R.L.[Radu-Laurentiu], Tulyakov, S.[Sergey], Semeniuta, S., Sangineto, E., Sebe, N.,
Facial expression recognition under a wide range of head poses,
FG15(1-7)
IEEE DOI 1508
emotion recognition BibRef

Kniaz, V.V., Smirnova, Z.N.,
Music-Elicited Emotion Identification Using Optical Flow Analysis of Human Face,
PTVSBB15(27-32).
DOI Link 1508
BibRef

Oussalah, M., Wang, S.,
Fuzzy emotion recognition model for video sequences,
IPTA12(127-132)
IEEE DOI 1503
emotion recognition BibRef

Sonmez, E.B., Sankur, B., Albayrak, S.,
Classification with emotional faces via a robust sparse classifier,
IPTA12(344-349)
IEEE DOI 1503
emotion recognition BibRef

Peng, K.C.[Kuan-Chuan], Karlsson, K.[Kolbeinn], Chen, T.H.[Tsu-Han], Zhang, D.Q.[Dong-Qing], Yu, H.[Heather],
A framework of changing image emotion using emotion prediction,
ICIP14(4637-4641)
IEEE DOI 1502
Correlation BibRef

Cardone, D.[Daniela], Merla, A.[Arcangelo],
The thermal dimension of psychophysiological and emotional responses revealed by thermal infrared imaging,
ICIP14(1942-1946)
IEEE DOI 1502
Biomedical monitoring BibRef

García, H.F.[Hernán F.], Álvarez, M.A.[Mauricio A.], Orozco, Á.Á.[Álvaro Á.],
Gaussian Process Dynamical Models for Emotion Recognition,
ISVC14(II: 799-808).
Springer DOI 1501
BibRef

Rezazadegan Tavakoli, H.[Hamed], Yanulevskaya, V.[Victoria], Rahtu, E.[Esa], Heikkila, J.[Janne], Sebe, N.[Nicu],
Emotional Valence Recognition, Analysis of Salience and Eye Movements,
ICPR14(4666-4671)
IEEE DOI 1412
Computational modeling BibRef

Lablack, A.[Adel], Danisman, T.[Taner], Bilasco, l.M.[loan Marius], Djeraba, C.[Chaabane],
A Local Approach for Negative Emotion Detection,
ICPR14(417-420)
IEEE DOI 1412
BibRef

Ramirez, G.A.[Geovany A.], Fuentes, O.[Olac], Crites, S.L.[Stephen L.], Jimenez, M.[Maria], Ordonez, J.[Juanita],
Color Analysis of Facial Skin: Detection of Emotional State,
SocialInter14(474-479)
IEEE DOI 1409
Skin color. BibRef

Hadjerci, O.[Oussama], Lablack, A.[Adel], Bilasco, I.M.[Ioan Marius], Djeraba, C.[Chaabane],
Affect Recognition Using Magnitude Models of Motion,
MMMod14(II: 339-344).
Springer DOI 1405
BibRef

Huang, X.H.[Xiao-Hua], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
Emotion recognition from facial images with arbitrary views,
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Earlier: A2, A1, A3, A4, A5:
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Yu, X.[Xiang], Zhang, S.T.[Shao-Ting], Yu, Y.[Yang], Dunbar, N., Jensen, M., Burgoon, J.K., Metaxas, D.N.,
Automated analysis of interactional synchrony using robust facial tracking and expression recognition,
FG13(1-6)
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emotion recognition BibRef

Cheng, J.K.[Jin-Kuang], Deng, Y.D.[Yang-Dong], Meng, H.Y.[Hong-Ying], Wang, Z.H.[Zhi-Hua],
A facial expression based continuous emotional state monitoring system with GPU acceleration,
FG13(1-6)
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emotion recognition BibRef

Levesque, J.C., Morency, L.P.[Louis-Philippe], Gagne, C.,
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FG13(1-6)
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emotion recognition BibRef

Baltrusaitis, T., Banda, N., Robinson, P.,
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FG13(1-8)
IEEE DOI 1309
emotion recognition BibRef

Agarwal, S., Mukherjee, D.P.,
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FG13(1-6)
IEEE DOI 1309
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ICIP14(1376-1380)
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And:
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ICIP13(4215-4219)
IEEE DOI 1402
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And: ICIP13(4215-4219)
IEEE DOI 1402
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Earlier:
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ICPR12(1880-1883).
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Littlewort, G.C.[Gwen C.], Whitehill, J.[Jacob], Wu, T.F.[Ting-Fan], Butko, N.[Nicholas], Ruvolo, P.[Paul], Movellan, J.R.[Javier R.], Bartlett, M.S.[Marian S.],
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See also computer expression recognition toolbox (CERT), The. BibRef

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A Novel Neuro Fuzzy Approach to Human Emotion Determination,
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See also Multi-Output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation.
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Zheng, W.M.[Wen-Ming], Tang, H.[Hao], Lin, Z.C.[Zhou-Chen], Huang, T.S.[Thomas S.],
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Springer DOI 1009
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Bernhardt, D.[Daniel], Robinson, P.[Peter],
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Khan, M.M.[Masood Mehmood], Ward, R.D.[Robert D.], Ingleby, M.[Michael],
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FG08(1-2).
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ICPR14(1817-1821)
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Pattern recognition BibRef

Manohar, V.[Vasant], Shreve, M.[Matthew], Goldgof, D.B.[Dmitry B.], Sarkar, S.[Sudeep],
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Shreve, M.[Matthew], Godavarthy, S.[Sridhar], Goldgof, D.[Dmitry], Sarkar, S.[Sudeep],
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Shreve, M.[Matthew], Godavarthy, S.[Sridhar], Manohar, V.[Vasant], Goldgof, D.[Dmitry], Sarkar, S.[Sudeep],
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And:
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AMDO06(291-299).
Springer DOI 0607
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Earlier:
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ICIAR05(1133-1140).
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Earlier:
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ICBA04(81-87).
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Kang, H.B.[Hang-Bong],
Emotional event detection using relevance feedback,
ICIP03(I: 721-724).
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Reynolds, C.[Carson],
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IEEE DOI 0211
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Sebe, N., Lew, M.S., Cohen, I.[Ira], Garg, A., Huang, T.S.,
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IEEE DOI 0211

See also Facial Expression Recognition from Video Sequences: Temporal and Static Modeling. BibRef

Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Emotion Recognition, Survey, General, Review, Datasets, Database .

Last update:Jul 15, 2025 at 15:29:22