Table of Contents

• Message from the General and Program Chairs FG 2020Juan Wachs, Sergio Escalera, Jeffrey F. Cohn, Albert Ali Salah, Arun Ross. [doi]
• Image Enhancement for Remote Photoplethysmography in a Low-Light EnvironmentLin Xi, Weihai Chen, Changchen Zhao, Xingming Wu, Jianhua Wang. 1-7 [doi]
• Toward fast and accurate human pose estimation via soft-gated skip connectionsAdrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic. 8-15 [doi]
• Head2Head: Video-based Neural Head SynthesisMohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos, Stefanos Zafeiriou. 16-23 [doi]
• Real-time Facial Expression Recognition "In The Wild" by Disentangling 3D Expression from IdentityMohammad Rami Koujan, Luma Alharbawee, Giorgos Giannakakis, Nicolas Pugeault, Anastasios Roussos. 24-31 [doi]
• ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric TurbulenceChun Pong Lau 0001, Hossein Souri, Rama Chellappa. 32-39 [doi]
• Gesture Agreement Assessment Using Description VectorsNaveen Madapana, Glebys T. Gonzalez, Juan P. Wachs. 40-44 [doi]
• IF-GAN: Generative Adversarial Network for Identity Preserving Facial Image Inpainting and FrontalizationKunjian Li, Qijun Zhao. 45-52 [doi]
• A recurrent cycle consistency loss for progressive face-to-face synthesisEnrique Sanchez, Michel F. Valstar. 53-60 [doi]
• FT-RCNN: Real-time Visual Face Tracking with Region-based Convolutional Neural NetworksYiming Lin, Jie Shen 0008, Shiyang Cheng 0001, Maja Pantic. 61-68 [doi]
• Face Video Generation from a Single Image and LandmarksKritaphat Songsri-in, Stefanos Zafeiriou. 69-76 [doi]
• DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition FrameworkOkan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll. 77-84 [doi]
• How are attributes expressed in face DCNNs?Prithviraj Dhar, Ankan Bansal, Carlos Domingo Castillo, Joshua Gleason, P. Jonathon Phillips, Rama Chellappa. 85-92 [doi]
• End-to-end Facial and Physiological Model for Affective Computing and ApplicationsJoaquim Comas, Decky Aspandi, Xavier Binefa. 93-100 [doi]
• Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose EstimationJiayi Wang, Franziska Mueller 0001, Florian Bernard, Christian Theobalt. 101-108 [doi]
• Clustering based Contrastive Learning for Improving Face RepresentationsVivek Sharma 0001, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen. 109-116 [doi]
• Face Denoising and 3D Reconstruction from A Single Depth ImageYicheng Zhong, Yuru Pei, Peixin Li, Yuke Guo, Gengyu Ma, Meng Liu, Wei Bai, Wenhai Wu, Hongbin Zha. 117-124 [doi]
• Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage DisentanglementMatthew J. Vowels, Necati Cihan Camgöz, Richard Bowden. 125-132 [doi]
• Recognizing Gestures from Videos using a Network with Two-branch Structure and Additional Motion CuesJiaxin Zhou, Takashi Komuro. 133-137 [doi]
• DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB CameraKonstantinos Papadopoulos 0002, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada, Björn E. Ottersten. 138-145 [doi]
• DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimationEdouard Yvinec, Arnaud Dapogny, Kévin Bailly. 146-152 [doi]
• MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial Expression RecognitionSacha Bernheim, Estèphe Arnaud, Arnaud Dapogny, Kévin Bailly. 153-159 [doi]
• EV-Action: Electromyography-Vision Multi-Modal Action DatasetLichen Wang, Bin Sun, Joseph P. Robinson, Taotao Jing, Yun Fu 0001. 160-167 [doi]
• Hybrid Video and Image Hashing for Robust Face RetrievalRuikui Wang, Shishi Qiao, Ruiping Wang 0001, Shiguang Shan, Xilin Chen. 168-175 [doi]
• Robustness Analysis of Face ObscurationHanxiang Hao, David Güera, János Horváth, Amy R. Reibman, Edward J. Delp. 176-183 [doi]
• Block Mobilenet: Align Large-Pose Faces with <1MB Model SizeBin Sun, Jun Li, Yun Fu 0001. 184-191 [doi]
• Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusionArnaud Dapogny, Kevin Bailly, Matthieu Cord. 192-198 [doi]
• End-to-end Spatial Attention Network with Feature Mimicking for Head DetectionJunjie Zhang, Yuntao Liu, Rongchun Li, Yong Dou. 199-206 [doi]
• Spatio-Temporal Attention and Magnification for Classification of Parkinson's Disease from Videos Collected via the InternetMohammad Rafayet Ali, Javier Hernandez, E. Ray Dorsey, Ehsan Hoque, Daniel J. McDuff. 207-214 [doi]
• PAS-Net: Pose-based and Appearance-based Spatiotemporal Networks Fusion for Action RecognitionChangzhen Li, Jie Zhang, Shiguang Shan, Xilin Chen. 215-221 [doi]
• Neural Sign Language Translation by Learning TokenizationAlptekin Orbay, Lale Akarun. 222-228 [doi]
• Set Operation Aided Network for Action Units DetectionHuiyuan Yang, Taoyue Wang, Lijun Yin. 229-235 [doi]
• Recognizing Perceived Emotions from Facial ExpressionsSaurabh Hinduja, Shaun J. Canavan, Lijun Yin. 236-240 [doi]
• Learning Monocular Face Reconstruction using Multi-View SupervisionZhixin Shu, Duygu Ceylan, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Dimitris Samaras. 241-248 [doi]
• Dual-Attention GAN for Large-Pose Face FrontalizationYu Yin, Songyao Jiang, Joseph P. Robinson, Yun Fu 0001. 249-256 [doi]
• Taking Control of Intra-class Variation in Conditional GANs Under Weak SupervisionRichard T. Marriott, Sami Romdhani, Liming Chen 0002. 257-264 [doi]
• Synthesising 3D Facial Motion from "In-the-Wild" SpeechPanagiotis Tzirakis, Athanasios Papaioannou, Alexandros Lattas, Michail Tarasiou, Björn W. Schuller, Stefanos Zafeiriou. 265-272 [doi]
• Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-ReadingMingshuang Luo, Shuang Yang, Shiguang Shan, Xilin Chen. 273-280 [doi]
• Attention Fusion for Audio-Visual Person Verification Using Multi-Scale FeaturesStefan Hörmann, Abdul Moiz, Martin Knoche, Gerhard Rigoll. 281-285 [doi]
• Semi-supervised Emotion Recognition using Inconsistently Annotated DataS. L. Happy, Antitza Dantcheva, François Brémond. 286-293 [doi]
• Self-supervised Deformation Modeling for Facial Expression EditingShahrukh Athar, Zhixin Shu, Dimitris Samaras. 294-301 [doi]
• Landmarks-assisted Collaborative Deep Framework for Automatic 4D Facial Expression RecognitionMuzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao. 302-306 [doi]
• Face Attributes as Cues for Deep Face Recognition UnderstandingMatheus Alves Diniz, William Robson Schwartz. 307-313 [doi]
• 3D Face Mask Anti-spoofing via Deep Fusion of Dynamic Texture and Shape CluesSong Chen, Weixin Li, Hongyu Yang, Di Huang 0001, Yunhong Wang. 314-321 [doi]
• CLIFER: Continual Learning with Imagination for Facial Expression RecognitionNikhil Churamani, Hatice Gunes. 322-328 [doi]
• Slim-CNN: A Light-Weight CNN for Face Attribute PredictionAnkit Kumar Sharma, Hassan Foroosh. 329-335 [doi]
• An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion AnalysisXiaotian Li, Xiang Zhang, Huiyuan Yang, Wenna Duan, Weiying Dai, Lijun Yin. 336-343 [doi]
• Multimodal Deep Learning Framework for Mental Disorder RecognitionZiheng Zhang, Weizhe Lin, Mingyu Liu, Marwa Mahmoud. 344-350 [doi]
• Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite MatricesEttore Maria Celozzi, Luca Ciabini, Luca Cultrera, Pietro Pala, Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo. 351-355 [doi]
• Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech RecognitionYuanhang Zhang, Shuang Yang, Jingyun Xiao, Shiguang Shan, Xilin Chen. 356-363 [doi]
• Deformation Flow Based Two-Stream Network for Lip ReadingJingyun Xiao, Shuang Yang, Yuanhang Zhang, Shiguang Shan, Xilin Chen. 364-370 [doi]
• Automatic Detection of Self-Adaptors for Psychological DistressWeizhe Lin, Indigo Orton, Mingyu Liu, Marwa Mahmoud. 371-378 [doi]
• Temporal Triplet Mining for Personality RecognitionDario Dotti, Esam Ghaleb, Stylianos Asteriadis. 379-386 [doi]
• Towards automatic monitoring of disease progression in sheep: A hierarchical model for sheep facial expressions analysis from videoFrancisca Pessanha, Krista McLennan, Marwa Mahmoud. 387-393 [doi]
• Hand tracking from monocular RGB with dense semantic labelsPeter Thompson, Aphrodite Galata. 394-401 [doi]
• 3D Landmark Localization in Point Clouds for the Human EarEimear O' Sullivan, Stefanos Zafeiriou. 402-406 [doi]
• Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose EstimationIstván Sárándi, Timm Linder, Kai Oliver Arras, Bastian Leibe. 407-414 [doi]
• First Investigation into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative PainMd Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun 0004. 415-419 [doi]
• Mutual Information Maximization for Effective Lip ReadingXing Zhao, Shuang Yang, Shiguang Shan, Xilin Chen. 420-427 [doi]
• Leveraging Shared and Divergent Facial Expression Behavior Between Genders in Deception DetectionGazi Naven, Taylan K. Sen, Luke Gerstner, Kurtis Haut, Melissa Wen, Ehsan Hoque. 428-435 [doi]
• Dynamic versus Static Facial Expressions in the Presence of SpeechAli N. Salman, Carlos Busso. 436-443 [doi]
• Generative Video Face Reenactment by AUs and Gaze RegularizationJosep Famadas, Meysam Madadi, Cristina Palmero, Sergio Escalera. 444-451 [doi]
• Simple and Effective Approaches for Uncertainty Prediction in Facial Action Unit Intensity RegressionTorsten Wörtwein, Louis-Philippe Morency. 452-456 [doi]
• Beyond MAGIC: Matching Collaborative Gestures using an optimization-based ApproachEdgar Rojas-Muñoz, Juan P. Wachs. 457-464 [doi]
• Learning Guided Attention Masks for Facial Action Unit RecognitionNagashri N. Lakshminarayana, Srirangaraj Setlur, Venu Govindaraju. 465-472 [doi]
• Deep Weakly Supervised Domain Adaptation for Pain Localization in VideosR. Gnana Praveen, Eric Granger, Patrick Cardinal. 473-480 [doi]
• A General Remote Photoplethysmography Estimator with Spatiotemporal Convolutional NetworkSiqi Liu, Pong C. Yuen. 481-488 [doi]
• Apathy Classification by Exploiting Task RelatednessS. L. Happy, Antitza Dantcheva, Abhijit Das, François Brémond, Radia Zeghari, Philippe Robert. 489-494 [doi]
• Learning privacy-enhancing face representations through feature disentanglementBlaz Bortolato, Marija Ivanovska, Peter Rot, Janez Krizaj, Philipp Terhörst, Naser Damer, Peter Peer, Vitomir Struc. 495-502 [doi]
• Using a Skeleton Gait Energy Image for Pathological Gait ClassificationJoão Loureiro, Paulo Lobato Correia. 503-507 [doi]
• Kinematic Tracking of Rehabilitation Patients With Markerless Pose Estimation Fused with Wearable Inertial SensorsR. James Cotton. 508-514 [doi]
• A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakesYaohui Wang, Antitza Dantcheva. 515-519 [doi]
• Towards a visual Sign Language dataset for home care servicesDimitrios Kosmopoulos, Iasonas Oikonomidis, Constantinos Constantinopoulos, Nikolaos Arvanitis, K. Antzakas, A. Bifis, G. Lydakis, A. Roussos, Antonis A. Argyros. 520-524 [doi]
• Visual Saliency Detection guided by Neural SignalsSimone Palazzo, Francesco Rundo, Sebastiano Battiato, Daniela Giordano, Concetto Spampinato. 525-531 [doi]
• Image-based Pose Representation for Action Recognition and Hand Gesture RecognitionZeyi Lin, Wei Zhang, Xiaoming Deng 0001, CuiXia Ma, Hongan Wang. 532-539 [doi]
• Estimation of Orofacial Kinematics in Parkinson's Disease: Comparison of 2D and 3D Markerless Systems for Motion TrackingDiego L. Guarin, Aidan Dempster, Andrea Bandini, Yana Yunusova, Babak Taati. 540-543 [doi]
• Emotion or expressivity? An automated analysis of nonverbal perception in a social dilemmaSu Lei, Kalin Stefanov, Jonathan Gratch. 544-551 [doi]
• Video2Report: A Video Database for Automatic Reporting of Medical Consultancy SessionsLaura Schiphorst, Metehan Doyran, Sabine Molenaar, Albert Ali Salah, Sjaak Brinkkemper. 552-556 [doi]
• Nonverbal Behavioral Patterns Predict Social Rejection Elicited AggressionMegan Quarmley, Zhibo Yang, Shahrukh Athar, Gregory Zelinksy, Dimitris Samaras, Johanna M. Jarcho. 557-561 [doi]
• Mood Versus Identity: Studying the Influence of Affective States on Mobile BiometricsTempestt Neal, Shaun Canavan. 562-566 [doi]
• A Computational View of the Emotional Regulation of Disgust using Multimodal SensorsVidhathri Kota, Geeta Madhav Gali, Ifeoma Nwogu. 567-571 [doi]
• iSAM: Personalizing an Artificial Intelligence Model for Emotion with Pleasure-Arousal-Dominance in Immersive Virtual RealityAviv Elor, Asiiah Song. 572-576 [doi]
• Multimodal Fusion of Physiological Signals and Facial Action Units for Pain RecognitionSaurabh Hinduja, Shaun J. Canavan, Gurmeet Kaur. 577-581 [doi]
• Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor DataSayde King, Mohamed Ebraheem, Khadija Zanna, Tempestt J. Neal. 582-586 [doi]
• Summarizing Driving Behavior to Support Driver Stress AnalysisAndré Roberto Ortoncelli, Luciano Silva, Olga Regina Perreira Bellon, Tiago Mota de Oliveira, Juliana Daga. 587-591 [doi]
• Multitask Emotion Recognition with Incomplete LabelsDidan Deng, Zhaokang Chen, Bertram E. Shi. 592-599 [doi]
• Two-Stream Aural-Visual Affect Analysis in the WildFelix Kuhnke, Lars Rumberg, Jörn Ostermann. 600-605 [doi]
• Latent-Based Adversarial Neural Networks for Facial Affect EstimationsDecky Aspandi, Adria Mallol-Ragolta, Björn W. Schuller, Xavier Binefa. 606-610 [doi]
• Multi-modal Sequence-to-sequence Model for Continuous Affect Prediction in the Wild Using Deep 3D FeaturesSowmya Rasipuram, Junaid Hamid Bhat, Anutosh Maitra. 611-614 [doi]
• Facial Expression Recognition for In-the-wild VideosHanyu Liu, Jiabei Zeng, Shiguang Shan. 615-618 [doi]
• Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit DetectionInes Rieger, Jaspar Pahl, Dominik Seuss. 619-623 [doi]
• Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep Learning ModelNhu-Tai Do, Tram-Tran Nguyen-Quynh, Soo-Hyung Kim. 624-628 [doi]
• Multi-modal Expression Recognition in the Wild Using Sequence ModelingSowmya Rasipuram, Junaid Hamid Bhat, Anutosh Maitra. 629-631 [doi]
• 3F: Multi-Modal Continuous Valence-Arousal Estimation in the WildYuan-Hang Zhang, Rulin Huang, Jiabei Zeng, Shiguang Shan. 632-636 [doi]
• Analysing Affective Behavior in the First ABAW 2020 CompetitionDimitrios Kollias, Attila Schulc, Elnar Hajiyev, Stefanos Zafeiriou. 637-643 [doi]
• How are you feeling? Multimodal Emotion Learning for Socially-Assistive Robot NavigationAniket Bera, Tanmay Randhavane, Rohan Prinja, Kyra Kapsaskis, Austin Wang, Kurt Gray, Dinesh Manocha. 644-651 [doi]
• The FaceChannel: A Light-weight Deep Neural Network for Facial Expression RecognitionPablo V. A. Barros, Nikhil Churamani, Alessandra Sciutti. 652-656 [doi]
• A weightless regression system for predicting multi-modal empathyLeopoldo A. D. Lusquino Filho, Luiz F. R. Oliveira, Hugo C. C. Carneiro, Gabriel P. Guarisa, Aluizio Lima Filho, Felipe M. G. França, Priscila M. V. Lima. 657-661 [doi]
• Vision-based Individual Factors Acquisition for Thermal Comfort Assessment in a Built EnvironmentJinsong Liu, Isak Worre Foged, Thomas B. Moeslund. 662-666 [doi]
• Impairments in decoding facial and vocal emotional expressions in high functioning autistic adults and adolescentsAnna Esposito, Italia Cirillo, Antonietta Maria Esposito, Leopoldina Fortunati, Gian Luca Foresti, Sergio Escalera, Nikolaos G. Bourbakis. 667-674 [doi]
• Introduction and Analysis of an Event-Based Sign Language DatasetAjay Vasudevan, Pablo Negri, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona. 675-682 [doi]
• Feature Selection for Zero-Shot Gesture RecognitionNaveen Madapana, Juan Wachs. 683-687 [doi]
• SILFA: Sign Language Facial Action Database for the Development of Assistive Technologies for the DeafEmely Pujólli da Silva, Paula Dornhofer Paro Costa, Kate Mamhy Oliveira Kumada, José Mario De Martino. 688-692 [doi]
• Explainable Early Stopping for Action Unit RecognitionCiprian A. Corneanu, Meysam Madadi, Sergio Escalera, Aleix M. Martínez. 693-699 [doi]
• FineHand: Learning Hand Shapes for American Sign Language RecognitionAl Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Huzefa Rangwala, Jana Kosecká. 700-707 [doi]
• Spectral Correspondence Framework for Building a 3D Baby Face ModelAraceli Morales, Antonio R. Porras, Liyun Tu, Marius George Linguraru, Gemma Piella, Federico M. Sukno. 708-715 [doi]
• Seniors' ability to decode differently aged facial emotional expressionsAnna Esposito, Terry Amorese, Nelson Mauro Maldonato, Alessandro Vinciarelli, María Inés Torres, Sergio Escalera, Gennaro Cordasco. 716-722 [doi]
• The MAGIC of E-Health: A Gesture-Based Approach to Estimate Understanding and Performance in Remote Ultrasound TasksEdgar Rojas-Muñoz, Juan P. Wachs. 723-727 [doi]
• Automatic stress detection evaluating models of facial action unitsGiorgos Giannakakis, Mohammad Rami Koujan, Anastasios Roussos, Kostas Marias. 728-733 [doi]
• Spatio-temporal fusion for Macro- and Micro-expression Spotting in Long Video SequencesLi-Wei Zhang, Jingting Li, Su-Jing Wang, Xian-Hua Duan, Wen-Jing Yan, Hai-Yong Xie, Shu-Cheng Huang. 734-741 [doi]
• Spotting Macro-and Micro-expression Intervals in Long Video SequencesYing He, Su-Jing Wang, Jingting Li, Moi Hoon Yap. 742-748 [doi]
• Local Bilinear Convolutional Neural Network for Spotting Macro- and Micro-expression Intervals in Long Video SequencesHang Pan, Lun Xie, Zhiliang Wang. 749-753 [doi]
• Typical and Reverse Other-Race Effect on Tibetan Students' Emotional Face RecognitionZhanling Cui, Yingjun Zhao, Jin Guo, Huibo Du, Jijia Zhang. 754-760 [doi]
• The Ability to Recognize Microexpression and Detect Deception in the ElderlyLiping He, Xunbing Shen, Zhencai Chen, Keding Li, Zhennan Liu, Ruirui Zhuo. 761-764 [doi]
• Adaptive Mask for Region-based Facial Micro-Expression RecognitionWalied Merghani, Moi Hoon Yap. 765-770 [doi]
• SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions DatasetChuin Hong Yap, Connah Kendrick, Moi Hoon Yap. 771-776 [doi]
• MEGC2020 - The Third Facial Micro-Expression Grand ChallengeJingting Li, Su-Jing Wang, Moi Hoon Yap, John See, Xiaopeng Hong, Xiaobai Li. 777-780 [doi]
• Using Deep 3D Features and an LSTM Based Sequence Model for Automatic Pain Detection in the WildSowmya Rasipuram, Bukka Nikhil Sai, Dinesh Babu Jayagopi, Anutosh Maitra. 781-785 [doi]
• Exploring Multidimensional Measurements for Pain Evaluation using Facial Action UnitsXiaojing Xu, Virginia R. de Sa. 786-792 [doi]
• Automatic Pain Detection on Horse and Donkey FacesHilde I. Hummel, Francisca Pessanha, Albert Ali Salah, Thijs J. P. A. M. van Loon, Remco C. Veltkamp. 793-800 [doi]
• ChaLearn LAP 2020 Challenge on Identity-preserved Human Detection: Dataset and ResultsAlbert Clapés, Julio C. S. Jacques Júnior, Carla Morral, Sergio Escalera. 801-808 [doi]
• Noise Robust Hard Example Mining for Human Detection with Efficient Depth-Thermal FusionZijian Zhao, Jie Zhang 0071, Shiguang Shan. 809-813 [doi]
• Multimodality Pain and related Behaviors Recognition based on Attention LearningVan Thong Huynh, Hyung Jeong Yang, Gueesang Lee, Soo-Hyung Kim. 814-818 [doi]
• LSTM-DNN based Approach for Pain Intensity and Protective Behaviour PredictionYi Li, Shreya Ghosh, Jyoti Joshi, Sharon Oviatt. 819-823 [doi]
• ALANet: Autoencoder-LSTM for pain and protective behaviour detectionXinhui Yuan, Marwa Mahmoud. 824-828 [doi]
• A Curriculum Learning Approach for Pain Intensity Recognition from Facial ExpressionsAdria Mallol-Ragolta, Shuo Liu, Nicholas Cummins, Björn W. Schuller. 829-833 [doi]
• Automatic Recognition of Low-Back Chronic Pain Level and Protective Movement Behaviour using Physical and Muscle Activity InformationFasih Haider, Pierre Albert, Saturnino Luz. 834-838 [doi]
• Three-level Training of Multi-Head Architecture for Pain DetectionSaandeep Aathreya Sidhapur Lakshminarayan, Saurabh Hinduja, Shaun J. Canavan. 839-843 [doi]
• Multimodal Multilevel Fusion for Sequential Protective Behavior Detection and Pain EstimationMd Taufeeq Uddin, Shaun J. Canavan. 844-848 [doi]
• EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily ExpressionsJoy O. Egede, Siyang Song, Temitayo A. Olugbade, Chongyang Wang, Amanda C. de C. Williams, Hongying Meng, Min S. Hane Aung, Nicholas D. Lane, Michel F. Valstar, Nadia Bianchi-Berthouze. 849-856 [doi]
• Recognizing Families In the Wild (RFIW): The 4th EditionJoseph P. Robinson, Yu Yin, Zaid Khan 0001, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu 0001. 857-862 [doi]
• A Multi-Task Comparator Framework for Kinship VerificationStefan Hörmann, Martin Knoche, Gerhard Rigoll. 863-867 [doi]
• Challenge report Recognizing Families In the Wild Data ChallengeZhipeng Luo, Zhiguang Zhang, Zhenyu Xu, Lixuan Che. 868-871 [doi]
• Achieving Better Kinship Recognition Through Better BaselineAndrei Shadrikov. 872-876 [doi]
• Multi-view Deep Features for Robust Facial Kinship VerificationOualid Laiadi, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid. 877-881 [doi]
• Retrieval of Family Members Using Siamese Neural NetworkJun Yu 0001, Guochen Xie, Mengyan Li, Xinlong Hao. 882-886 [doi]
• Recognizing Families through Images with Pretrained EncoderTuan-Duy H. Nguyen, Huu-Nghia H. Nguyen, Hieu Dao. 887-891 [doi]
• Deep Fusion Siamese Network for Automatic Kinship VerificationJun Yu, Mengyan Li, Xinlong Hao, Guochen Xie. 892-899 [doi]
• Two-stage Recognition and Beyond for Compound Facial Emotion RecognitionZhiyuan Zhang, Miao Yi, Juan Xu, Rong Zhang, Jianping Shen. 900-904 [doi]
• Challenge report: Compound Emotion challengeZhipeng Luo, Zhiguang Zhang. 905-907 [doi]
• Multimodal(Audio, Facial and Gesture) based Emotion Recognition challengeGou Wei, Li Jian, Sun Mo. 908-911 [doi]
• Two Stage Emotion Recognition using Frame-level and Video-level FeaturesCarla Viegas. 912-915 [doi]
• Real-time Action Unit Intensity DetectionSaurabh Hinduja, Shaun J. Canavan. 916 [doi]
• Sign Language Recognition in Virtual RealityJacob Schioppo, Zachary Meyer, Diego Fabiano, Shaun Canavan. 917 [doi]
• ReenactNet: Real-time Full Head ReenactmentMohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos, Stefanos Zafeiriou. 918 [doi]
• Understanding consumer attention on mobile devicesNatalia Efremova, Navid Hajimirza, David Bassett, Felipe Thomaz. 919 [doi]