Face-research-list June 2025

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Deadline is extended to 1st July (EoD, AoE): Call for paper 1st Computer Vision for Biometrics, Identity & Behaviour (CV4BIOM) workshop at ICCV 2025

by ABHIJIT DAS

We (Abhijit Das, Mayank Vatsa, Richa Singh, Arun Ross, Vitomir Štruc, Antitza Dantcheva, Ph.D. and Raghavendra Ramachandra) are organising the 1st Computer Vision for Biometrics, Identity & Behaviour (CV4BIOM) workshop at ICCV 2025. Submission deadline: *1 July 2025 (23:59 AoE), no further extension* Decision: 11 July 2025 Website: cv4biom.org Submission link: https://openreview.net/group?id=thecvf.com/ICCV/2025/Workshop/CV4BIOM Submission guideline: ICCV Author Guidelines <https://iccv.thecvf.com/Conferences/2025/AuthorGuidelines> All accepted papers in the workshops will be published in the ICCV workshop proceedings: ICCVW will only include works longer than 4 pages and up to 8 pages, not including references. ***********The best-reviewed paper from the workshop will be invited to submit extended work to the IEEE TBIOM SPECIAL ISSUE on Best Reviewed Papers from ICCV 2025 Biometrics.*************** Topics of interest, but not limited to: • Biometrics & Identity: Technologies, Applications, and Challenges: – Biometric Modalities and Sensors: Face, fingerprint, ear, eye (iris, retina), vein pat- terns, palm, gait, and emerging biometric traits. – Biometric Processing and Computation: Template generation, feature extraction, matching algorithms, and dataset baselines. – Multi-Biometrics and Fusion: Information fusion, normalization techniques, machine learning-based integration, and theoretical models. – Privacy, Security and Bias: Bias mitigation, privacy-preserving techniques, security assessments, and adversarial robustness in biometric systems. – Forensic and Law Enforcement Applications: Biometrics in forensics, crime investi- gation, and security assessment. – Biometrics in Technology and Industry: Mobile and wearable devices, banking, IoT, large-scale identity management, and biometric authentication standards. – Emerging Challenges and Ethical Considerations: Digital data forensics, biometric deepfakes, synthetic realities, ethical, social, and legal issues in biometric adoption. • Behavior Understanding & Applications: – Multimodal Behavior Modeling: Human and animal behavior analysis, social interac- tions, empathy, and emotional intelligence. – Generative and Machine Learning Approaches: Advanced learning models for be- havior prediction and synthesis. – Sensor Technologies and Data Fusion: Multisensory solutions, information fusion tech- niques, and integration for behavior analysis. – Datasets and Benchmarks: Standardized datasets and evaluation metrics for behavior recognition and prediction. – Attention and Perception Analysis: Visual attention, visual saliency, and cognitive modeling. – Assistive and Inclusive Technologies: Applications for the visually and hearing im- paired, sign language recognition, and assistive living solutions. – Personalized and Health-Centric Applications: Monitoring for aging populations, child development, and quality-of-life technologies. – Egocentric and First-Person Vision: Wearable vision-based applications for personal- ized assistance and behaviour tracking. Best regards Abhijit ------------------ --------------------- ---- -------------------- *Dr.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR <https://appcair.com/applied-ai-faculty.html> Lead Investigator, Machine Intelligence Group <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> Assistant Professor. <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> H112, Dept. of Computer Science and Information Systems, BITS Pilani, Hyderabad Campus. *Organising Chair:* 1st Workshop on Computer Vision for Biometrics, Identity and Behaviour (CV4BIB 2025) at ICCV 2025. ICRA'2025 Satellite event at BITS Hyderabad *Competition Co-Chairs: *IEEE International Joint Conference on Biometrics (IJCB 2026) *Sponsorship** Co-Chairs: *6th Indian Symposium on Machine Learning (IndoML 2025) *Contact no:* +914066303744 (O) *Website: *https://sites.google.com/site/dasabhijit2048/home *▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄* [image: Visit Hyderabad Campus]

1 month, 1 week

(CfP) CVPR 2025: 8th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW)

by Dimitrios Kollias

Dear Colleagues, Please find below the invitation to contribute to the 8th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW)<https://affective-behavior-analysis-in-the-wild.github.io/8th/> to be held in conjunction with the IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2025. (1): The Competition is split into the below six Challenges: * Valence-Arousal Estimation Challenge * Expression Recognition Challenge * Action Unit Detection Challenge * Compound Expression Recognition Challenge * Emotional Mimicry Intensity Estimation Challenge * Ambivalence/Hesitancy (AH) Recognition Challenge The first 3 Challenges are based on an augmented version of the Aff-Wild2 database, which is an A/V in-the-wild database of 594 videos of 584 subjects of around 3M frames; it contains annotations in terms of valence-arousal, expressions and action units. The 4th Challenge is based on C-EXPR-DB, which is an A/V in-the-wild database and in total consists of 400 videos of around 200K frames; each frame is annotated in terms of compound expressions. The 5th Challenge is based on the Hume-Vidmimic2 dataset, which is a multimodal dataset of about 75 hours of video recordings of 2222 subjects; it contains continuous annotations for the intensity of 7 emotional experiences. The last Challenge is based on the Behavioural Ambivalence/Hesitancy dataset, which is an A/V dataset of 630 videos of 5 hours duration of around 430K frames; it contains annotations in terms of presence and absence of ambivalence/hesitancy. Participants are invited to participate in at least one of these Challenges. There will be one winner per Challenge; the top-3 performing teams of each Challenge will have to contribute paper(s) describing their approach, methodology and results to our Workshop; the accepted papers will be part of the CVPR 2025 proceedings; all other teams are also encouraged to submit paper(s) describing their solutions and final results; the accepted papers will be part of the CVPR 2025 proceedings. More information about the Competition can be found here<https://affective-behavior-analysis-in-the-wild.github.io/8th/#clients>. Important Dates:   * Call for participation announced, team registration begins, data available: 22 January, 2025 * Final submission deadline: 12 March, 2025 * Winners Announcement: 17 March, 2025 * Final paper submission deadline: 21 March, 2025 * Review decisions sent to authors; Notification of acceptance: 3 April, 2025 * Camera ready version deadline: 7 April, 2025 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Cogitat Ltd, UK Panagiotis Tzirakis, Hume AI Alan Cowen, Hume AI Eric Granger, École de technologie supérieure, Canada Marco Pedersoli, École de technologie supérieure, Canada Simon Bacon, Concordia University, Canada (2): The Workshop solicits contributions on cutting-edge advancements in analyzing, generating, modeling, and understanding human affect and behavior across multiple modalities, including facial expressions, body movements, gestures and speech. A special emphasis is placed on the integration of state-of-the-art systems designed for in-the-wild analysis, enabling research and applications in unconstrained environments. In parallel, this Workshop will solicit contributions towards building fair, explainable, trustworthy and privacy-aware models that perform well on all subgroups and improve in-the-wild generalisation. Original high-quality contributions, in terms of databases, surveys, studies, foundation models, techniques and methodologies (either uni-modal or multi-modal; uni-task or multi-task ones) are solicited on -but are not limited to- the following topics: i) facial expression (basic, compound or other) or micro-expression analysis ii) facial action unit detection iii) valence-arousal estimation iv) physiological-based (e.g.,EEG, EDA) affect analysis v) face recognition, detection or tracking vi) body recognition, detection or tracking vii) gesture recognition or detection viii) pose estimation or tracking ix) activity recognition or tracking x) lip reading and voice understanding xi) face and body characterization (e.g., behavioral understanding) xii) characteristic analysis (e.g., gait, age, gender, ethnicity recognition) xiii) group understanding via social cues (e.g., kinship, non-blood relationships, personality) xiv) video, action and event understanding xv) digital human modeling xvi) characteristic analysis (e.g., gait, age, gender, ethnicity recognition) xvii) violence detection xviii) autonomous driving xix) domain adaptation, domain generalisation, few- or zero-shot learning for the above cases xx) fairness, explainability, interpretability, trustworthiness, privacy-awareness, bias mitigation and/or subgroup distribution shift analysis for the above cases xxi) editing, manipulation, image-to-image translation, style mixing, interpolation, inversion and semantic diffusion for all afore mentioned cases Accepted workshop papers will appear at CVPR 2025 proceedings. Important Dates: Paper Submission Deadline: 21 March, 2025 Review decisions sent to authors; Notification of acceptance: 3 April, 2025 Camera ready version 7 April, 2025 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Cogitat Ltd, UK Panagiotis Tzirakis, Hume AI Alan Cowen, Hume AI Eric Granger, École de technologie supérieure, Canada Marco Pedersoli, École de technologie supérieure, Canada Simon Bacon, Concordia University, Canada In case of any queries, please contact d.kollias(a)qmul.ac.uk<mailto:d.kollias@qmul.ac.uk> Kind Regards, Dimitrios Kollias, on behalf of the organising committee ======================================================================== Dr Dimitrios Kollias, PhD, FHEA, M-IEEE, M-BMVA, M-AAAI, M-TCPAMI, AM-IAPR Lecturer (Assistant Professor) in Artificial Intelligence Member of Centre for Multimodal AI Affiliate Member of Centre for Human Centred Computing Member of Multimedia and Vision Group Member of Queen Mary Computer Vision Group Associate Member of Centre for Advanced Robotics Academic Fellow of Digital Environment Research Institute School of EECS Queen Mary University of London ========================================================================

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Face-research-list June 2025