{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/facial-expression-recognition/papers/3","list_of":"/task/facial-expression-recognition","task":"Facial Expression Recognition (FER)","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":3,"pages_in_order":5,"rows_per_page":100,"rows":[201,300],"of":492,"counts":{"archive_papers_tagged":492,"with_a_code_link":155,"where_syntology_ran_a_sample":18,"not_listed_spam_title":0,"listed":492,"listed_where_code_ran":18,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":15,"every_run_a_failure_of_syntologys_instrument":3,"listed_with_a_run_with_no_instrument_failure":15,"listed_every_run_a_failure_of_syntologys_instrument":3,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/facial-expression-recognition","prev":"/task/facial-expression-recognition/papers/2","next":"/task/facial-expression-recognition/papers/4","papers":[{"url":null,"slug":"la-net-landmark-aware-learning-for-reliable","title":"LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise","date":"2023-07-18","arxiv_id":"2307.09023","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-fair-facial-expression-recognition","title":"Toward Fair Facial Expression Recognition with Improved Distribution Alignment","date":"2023-06-11","arxiv_id":"2306.06696","repositories_listed":0,"syntology":null},{"url":null,"slug":"facial-expression-recognition-at-the-edge-cpu","title":"Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU","date":"2023-05-17","arxiv_id":"2305.15422","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-facial-expression-recognition-a","title":"Continual Facial Expression Recognition: A Benchmark","date":"2023-05-10","arxiv_id":"2305.06448","repositories_listed":0,"syntology":null},{"url":null,"slug":"class-adaptive-threshold-and-negative-class","title":"Class adaptive threshold and negative class guided noisy annotation robust Facial Expression Recognition","date":"2023-05-03","arxiv_id":"2305.01884","repositories_listed":0,"syntology":null},{"url":null,"slug":"spiking-fer-spiking-neural-network-for-facial","title":"Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras","date":"2023-04-20","arxiv_id":"2304.10211","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-domain-norm-referenced-encoding-enables","title":"Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition","date":"2023-04-05","arxiv_id":"2304.02309","repositories_listed":0,"syntology":null},{"url":null,"slug":"fer-former-multi-modal-transformer-for-facial","title":"FER-former: Multi-modal Transformer for Facial Expression Recognition","date":"2023-03-23","arxiv_id":"2303.12997","repositories_listed":0,"syntology":null},{"url":null,"slug":"tempt-temporal-consistency-for-test-time","title":"TempT: Temporal consistency for Test-time adaptation","date":"2023-03-19","arxiv_id":"2303.10536","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-large-scale-unlabeled-faces-to","title":"Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition","date":"2023-03-15","arxiv_id":"2303.08617","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-facial-expression-recognition","title":"Multi Modal Facial Expression Recognition with Transformer-Based Fusion Networks and Dynamic Sampling","date":"2023-03-15","arxiv_id":"2303.08419","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-positive-matching-contrastive-loss-with","title":"Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition","date":"2023-03-08","arxiv_id":"2303.04896","repositories_listed":0,"syntology":null},{"url":null,"slug":"cliper-a-unified-vision-language-framework","title":"CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition","date":"2023-03-01","arxiv_id":"2303.00193","repositories_listed":0,"syntology":null},{"url":null,"slug":"triplet-loss-less-center-loss-sampling","title":"Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios","date":"2023-02-08","arxiv_id":"2302.04108","repositories_listed":0,"syntology":null},{"url":null,"slug":"stprivacy-spatio-temporal-tubelet","title":"STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition","date":"2023-01-08","arxiv_id":"2301.03046","repositories_listed":0,"syntology":null},{"url":"/paper/multi-label-compound-expression-recognition-c","slug":"multi-label-compound-expression-recognition-c","title":"Multi-Label Compound Expression Recognition: C-EXPR Database & Network","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combating-uncertainty-and-class-imbalance-in","title":"Combating Uncertainty and Class Imbalance in Facial Expression Recognition","date":"2022-12-15","arxiv_id":"2212.07751","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertain-facial-expression-recognition-via","title":"Uncertain Facial Expression Recognition via Multi-task Assisted Correction","date":"2022-12-14","arxiv_id":"2212.07144","repositories_listed":0,"syntology":null},{"url":null,"slug":"au-aware-vision-transformers-for-biased","title":"AU-Aware Vision Transformers for Biased Facial Expression Recognition","date":"2022-11-12","arxiv_id":"2211.06609","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-emotion-recognization-using-dataset","title":"Face Emotion Recognization Using Dataset Augmentation Based on Neural Network","date":"2022-10-23","arxiv_id":"2210.12689","repositories_listed":0,"syntology":null},{"url":null,"slug":"gender-stereotyping-impact-in-facial","title":"Gender Stereotyping Impact in Facial Expression Recognition","date":"2022-10-11","arxiv_id":"2210.05332","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-paced-label-distribution-learning-for-in","title":"Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition","date":"2022-10-10","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-the-learning-paradigm-for-facial","title":"Rethinking the Learning Paradigm for Facial Expression Recognition","date":"2022-09-30","arxiv_id":"2209.15402","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-developing-facial-stress-analysis-and","title":"On Developing Facial Stress Analysis and Expression Recognition Platform","date":"2022-09-16","arxiv_id":"2209.07916","repositories_listed":0,"syntology":null},{"url":null,"slug":"facetoponet-facial-expression-recognition","title":"FaceTopoNet: Facial Expression Recognition using Face Topology Learning","date":"2022-09-13","arxiv_id":"2209.06322","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangling-identity-and-pose-for-facial","title":"Disentangling Identity and Pose for Facial Expression Recognition","date":"2022-08-17","arxiv_id":"2208.08106","repositories_listed":0,"syntology":null},{"url":null,"slug":"facial-expression-recognition-and-image","title":"Facial Expression Recognition and Image Description Generation in Vietnamese","date":"2022-08-12","arxiv_id":"2208.06117","repositories_listed":0,"syntology":null},{"url":null,"slug":"ciao-a-contrastive-adaptation-mechanism-for","title":"CIAO! A Contrastive Adaptation Mechanism for Non-Universal Facial Expression Recognition","date":"2022-08-10","arxiv_id":"2208.07221","repositories_listed":0,"syntology":null},{"url":"/paper/mafw-a-large-scale-multi-modal-compound","slug":"mafw-a-large-scale-multi-modal-compound","title":"MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild","date":"2022-08-01","arxiv_id":"2208.00847","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-graph-based-feature-normalization","title":"Adaptive Graph-Based Feature Normalization for Facial Expression Recognition","date":"2022-07-22","arxiv_id":"2207.11123","repositories_listed":0,"syntology":null},{"url":"/paper/facial-expression-recognition-using-vanilla","slug":"facial-expression-recognition-using-vanilla","title":"Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers","date":"2022-07-22","arxiv_id":"2207.11081","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-cross-attention-network-in-facial","title":"Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention","date":"2022-07-21","arxiv_id":"2207.10293","repositories_listed":0,"syntology":null},{"url":null,"slug":"hand-assisted-expression-recognition-method","title":"Hand-Assisted Expression Recognition Method from Synthetic Images at the Fourth ABAW Challenge","date":"2022-07-20","arxiv_id":"2207.09661","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-synthetic-data-facial","title":"Learning from Synthetic Data: Facial Expression Classification based on Ensemble of Multi-task Networks","date":"2022-07-20","arxiv_id":"2207.10025","repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-the-context-shift-between-test","title":"Identifying the Context Shift between Test Benchmarks and Production Data","date":"2022-07-03","arxiv_id":"2207.01059","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-facial-expression-recognition-fer2013","title":"Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Prediction","date":"2022-06-19","arxiv_id":"2206.09509","repositories_listed":0,"syntology":null},{"url":null,"slug":"nr-dfernet-noise-robust-network-for-dynamic","title":"NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition","date":"2022-06-10","arxiv_id":"2206.04975","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-tuning-of-convolutional-neural-networks","title":"Fine-tuning of Convolutional Neural Networks for the Recognition of Facial Expressions in Sign Language Video Samples","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-facial-expression-recognition-by-a","title":"Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher","date":"2022-05-28","arxiv_id":"2205.14361","repositories_listed":0,"syntology":null},{"url":null,"slug":"afnet-m-adaptive-fusion-network-with-masks","title":"AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition","date":"2022-05-24","arxiv_id":"2205.11785","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-peek-at-peak-emotion-recognition","title":"A Peek at Peak Emotion Recognition","date":"2022-05-19","arxiv_id":"2205.09791","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatio-temporal-transformer-for-dynamic","title":"Spatio-Temporal Transformer for Dynamic Facial Expression Recognition in the Wild","date":"2022-05-10","arxiv_id":"2205.04749","repositories_listed":0,"syntology":null},{"url":"/paper/mixaugment-mixup-augmentation-methods-for","slug":"mixaugment-mixup-augmentation-methods-for","title":"MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition","date":"2022-05-09","arxiv_id":"2205.04442","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertain-label-correction-via-auxiliary","title":"Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition","date":"2022-04-23","arxiv_id":"2204.11053","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-transformer-equipped-with-neural","title":"Vision Transformer Equipped with Neural Resizer on Facial Expression Recognition Task","date":"2022-04-05","arxiv_id":"2204.02181","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptively-lighting-up-facial-expression","title":"Adaptively Enhancing Facial Expression Crucial Regions via Local Non-Local Joint Network","date":"2022-03-26","arxiv_id":"2203.14045","repositories_listed":0,"syntology":null},{"url":null,"slug":"facial-expression-recognition-with-swin","title":"Facial Expression Recognition with Swin Transformer","date":"2022-03-25","arxiv_id":"2203.13472","repositories_listed":0,"syntology":null},{"url":null,"slug":"facial-expression-recognition-based-on-multi","title":"Facial Expression Recognition based on Multi-head Cross Attention Network","date":"2022-03-24","arxiv_id":"2203.13235","repositories_listed":0,"syntology":null},{"url":null,"slug":"privileged-attribution-constrained-deep","title":"Privileged Attribution Constrained Deep Networks for Facial Expression Recognition","date":"2022-03-24","arxiv_id":"2203.12905","repositories_listed":0,"syntology":null},{"url":null,"slug":"your-attention-deserves-attention-a-self","title":"Your \"Attention\" Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis","date":"2022-03-23","arxiv_id":"2203.12570","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-gender-bias-in-predictive","title":"Assessing Gender Bias in Predictive Algorithms using eXplainable AI","date":"2022-03-19","arxiv_id":"2203.10264","repositories_listed":0,"syntology":null},{"url":"/paper/ferv39k-a-large-scale-multi-scene-dataset-for","slug":"ferv39k-a-large-scale-multi-scene-dataset-for","title":"FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos","date":"2022-03-17","arxiv_id":"2203.09463","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-facial-expression-recognition-with-1","title":"Robust facial expression recognition with global‑local joint representation learning","date":"2022-03-07","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-facial-expression-recognition-using","title":"Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks","date":"2022-01-31","arxiv_id":"2202.00102","repositories_listed":0,"syntology":null},{"url":null,"slug":"2d-3d-facial-expression-recognition-via-1","title":"2D+3D facial expression recognition via embedded tensor manifold regularization","date":"2022-01-29","arxiv_id":"2201.12506","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-general-deep-feature-extractor-for","title":"Towards a General Deep Feature Extractor for Facial Expression Recognition","date":"2022-01-19","arxiv_id":"2201.07781","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-facial-expression-recognition-meets-few","title":"When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework","date":"2022-01-18","arxiv_id":"2201.06781","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-centroid-ripple-pattern-for-facial","title":"Cross-Centroid Ripple Pattern for Facial Expression Recognition","date":"2022-01-16","arxiv_id":"2201.05958","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-effect-of-model-compression-on-fairness","title":"The Effect of Model Compression on Fairness in Facial Expression Recognition","date":"2022-01-05","arxiv_id":"2201.01709","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-dimensional-nuanced-and-subjective","title":"Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"face-trees-for-expression-recognition","title":"Face Trees for Expression Recognition","date":"2021-12-05","arxiv_id":"2112.02487","repositories_listed":0,"syntology":null},{"url":null,"slug":"teacher-student-training-and-triplet-loss-to","title":"Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion","date":"2021-11-20","arxiv_id":"2111.10561","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-convolution-network-based-emotion","title":"Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly","date":"2021-11-09","arxiv_id":"2111.05066","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalisation-for-apparent-emotional","title":"Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups","date":"2021-10-18","arxiv_id":"2110.09168","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-facial-expression-recognition-in","title":"Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation","date":"2021-10-09","arxiv_id":"2110.04481","repositories_listed":0,"syntology":null},{"url":null,"slug":"label-quality-in-affectnet-results-of-crowd","title":"Label quality in AffectNet: results of crowd-based re-annotation","date":"2021-10-09","arxiv_id":"2110.04476","repositories_listed":0,"syntology":null},{"url":null,"slug":"research-on-facial-expression-recognition","title":"Research on facial expression recognition based on Multimodal data fusion and neural network","date":"2021-09-26","arxiv_id":"2109.12724","repositories_listed":0,"syntology":null},{"url":null,"slug":"mfevit-a-robust-lightweight-transformer-based","title":"MFEViT: A Robust Lightweight Transformer-based Network for Multimodal 2D+3D Facial Expression Recognition","date":"2021-09-20","arxiv_id":"2109.13086","repositories_listed":0,"syntology":null},{"url":null,"slug":"expression-snippet-transformer-for-robust","title":"Expression Snippet Transformer for Robust Video-based Facial Expression Recognition","date":"2021-09-17","arxiv_id":"2109.08409","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-dataset-for-large-scale-3d-facial","title":"Generating Dataset For Large-scale 3D Facial Emotion Recognition","date":"2021-09-16","arxiv_id":"2109.08043","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-happens-in-face-during-a-facial","title":"What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors","date":"2021-09-12","arxiv_id":"2109.05457","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-relation-aware-facial","title":"TransFER: Learning Relation-aware Facial Expression Representations with Transformers","date":"2021-08-25","arxiv_id":"2108.11116","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-and-mitigating-annotation-bias","title":"Understanding and Mitigating Annotation Bias in Facial Expression Recognition","date":"2021-08-19","arxiv_id":"2108.08504","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-contrastive-learning-of-multi","title":"Self-supervised Contrastive Learning of Multi-view Facial Expressions","date":"2021-08-15","arxiv_id":"2108.06723","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatiotemporal-contrastive-learning-of-facial","title":"Spatiotemporal Contrastive Learning of Facial Expressions in Videos","date":"2021-08-06","arxiv_id":"2108.03064","repositories_listed":0,"syntology":null},{"url":null,"slug":"label-distribution-amendment-with-emotional","title":"Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition","date":"2021-07-23","arxiv_id":"2107.11061","repositories_listed":0,"syntology":null},{"url":"/paper/learning-vision-transformer-with-squeeze-and","slug":"learning-vision-transformer-with-squeeze-and","title":"Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition","date":"2021-07-07","arxiv_id":"2107.03107","repositories_listed":0,"syntology":null},{"url":null,"slug":"recognizing-facial-expressions-in-the-wild","title":"Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation","date":"2021-06-30","arxiv_id":"2106.16126","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-systematic-evaluation-of-domain-adaptation","title":"Critically examining the Domain Generalizability of Facial Expression Recognition models","date":"2021-06-29","arxiv_id":"2106.15453","repositories_listed":0,"syntology":null},{"url":null,"slug":"mvit-mask-vision-transformer-for-facial","title":"MVT: Mask Vision Transformer for Facial Expression Recognition in the wild","date":"2021-06-08","arxiv_id":"2106.04520","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaptation-for-facial-expression","title":"Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal","date":"2021-06-02","arxiv_id":"2106.01467","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-optimized-capsule-lstm-model-for-facial","title":"An optimized Capsule-LSTM model for facial expression recognition with video sequences","date":"2021-05-27","arxiv_id":"2106.07564","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-auxiliary-learning-for-facial-action","title":"Meta Auxiliary Learning for Facial Action Unit Detection","date":"2021-05-14","arxiv_id":"2105.06620","repositories_listed":0,"syntology":null},{"url":"/paper/using-self-supervised-co-training-to-improve","slug":"using-self-supervised-co-training-to-improve","title":"Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation","date":"2021-05-13","arxiv_id":"2105.06421","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-and-shallow-covariance-feature","title":"Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition","date":"2021-05-12","arxiv_id":"2105.05708","repositories_listed":0,"syntology":null},{"url":"/paper/casia-face-africa-a-large-scale-african-face","slug":"casia-face-africa-a-large-scale-african-face","title":"CASIA-Face-Africa: A Large-scale African Face Image Database","date":"2021-05-08","arxiv_id":"2105.03632","repositories_listed":0,"syntology":null},{"url":"/paper/distribution-matching-for-heterogeneous-multi","slug":"distribution-matching-for-heterogeneous-multi","title":"Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study","date":"2021-05-08","arxiv_id":"2105.03790","repositories_listed":0,"syntology":null},{"url":null,"slug":"magnifying-subtle-facial-motions-for","title":"Magnifying Subtle Facial Motions for Effective 4D Expression Recognition","date":"2021-05-05","arxiv_id":"2105.02319","repositories_listed":0,"syntology":null},{"url":null,"slug":"landmark-aware-and-part-based-ensemble","title":"Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images","date":"2021-04-22","arxiv_id":"2104.11274","repositories_listed":0,"syntology":null},{"url":null,"slug":"i-only-have-eyes-for-you-the-impact-of-masks","title":"I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition","date":"2021-04-16","arxiv_id":"2104.08353","repositories_listed":0,"syntology":null},{"url":null,"slug":"do-deep-neural-networks-forget-facial-action","title":"Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition","date":"2021-04-15","arxiv_id":"2104.07389","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-decomposition-and-reconstruction","title":"Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition","date":"2021-04-12","arxiv_id":"2104.05160","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-pitfalls-of-learning-with-limited-data","title":"On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study","date":"2021-04-02","arxiv_id":"2104.02653","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-facial-expression-recognition-with","title":"Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion","date":"2021-03-31","arxiv_id":"2103.16854","repositories_listed":0,"syntology":null},{"url":null,"slug":"imponderous-net-for-facial-expression","title":"Imponderous Net for Facial Expression Recognition in the Wild","date":"2021-03-28","arxiv_id":"2103.15136","repositories_listed":0,"syntology":null},{"url":null,"slug":"affective-processes-stochastic-modelling-of","title":"Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition","date":"2021-03-24","arxiv_id":"2103.13372","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-sub-layered-hierarchical-pyramidal-neural","title":"A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition","date":"2021-03-23","arxiv_id":"2103.12362","repositories_listed":0,"syntology":null},{"url":null,"slug":"responsible-ai-gender-bias-assessment-in","title":"Responsible AI: Gender bias assessment in emotion recognition","date":"2021-03-21","arxiv_id":"2103.11436","repositories_listed":0,"syntology":null},{"url":"/paper/leveraging-recent-advances-in-deep-learning","slug":"leveraging-recent-advances-in-deep-learning","title":"Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition","date":"2021-03-16","arxiv_id":"2103.09154","repositories_listed":0,"syntology":null},{"url":null,"slug":"detection-and-localization-of-facial","title":"Detection and Localization of Facial Expression Manipulations","date":"2021-03-15","arxiv_id":"2103.08134","repositories_listed":0,"syntology":null}],"record_sha256":"67f7fb0b04dc6bf7614fc3d03f1c8654a4e94a8e415f7c79156cc3b6af3b041b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}