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Sergio Escalera

Full Professor at University of Barcelona, Computer Vision Center, Aalborg University, ELLIS Fellow, IAPR Fellow, AAIA Fellow, ChaLearn Looking at People, Head of Visual Learning Systems of Human Behavior (HuPBA)

Sergio Escalera is a Full Professor at the Department of Mathematics and Informatics at Universitat de Barcelona, an ICREA Academia, and a member of the Visual and Computational Learning consolidated research group of Catalonia. He leads the Human Pose Recovery and Behavior Analysis Group at UB, CVC, and the Barcelona Graduate School of Mathematics. With more than 300 research papers published, Escalera's research interests include automatic analysis of humans from visual and multi-modal data, with special interest in inclusive, transparent, and fair affective computing and people characterization.

Escalera has received numerous accolades for his work, including the 2008 best Thesis award on Computer Science at Universitat Autònoma de Barcelona, a CVPR best paper award nominee, and a CVPR outstanding reviewer award. He is also a co-creator of the open-source platform Codalab for organizing challenges, co-founder of the NeurIPS competition track, and the vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is also Fellow of the European Laboratory for Learning and Intelligent Systems ELLIS working within the Human-centric Machine Learning program, a member of the Association for the Advancement of Affective Computing AAAC, the AERFAI Spanish Association on Pattern Recognition, ACIA Catalan Association of Artificial Intelligence, and a Chair of IAPR TC-12: Multimedia and visual information systems.

Overall, Escalera is an accomplished and highly respected expert in the fields of artificial intelligence, computer science, and machine learning, with a particular focus on human behavior analysis and affective computing.

Highlights

Mar 6 · linkedin

Do you want to deal with the latest developments in deep learning for 3D human behavior understanding? Apply and join our HuPBA research team in Barcelona:

https://t.co/MbD71530Xp

https://lnkd.in/erRjdnk7

Feb 7 · linkedin

Call for participation - Chalearn Looking at People series 4th Face Anti-Spoofing Workshop and Challenge@CVPR2023

Face Anti-spoofing (FAS) is essential to secure face recognition systems primarily from various attacks. In order to attract researchers and push forward the state of the art in Face Presentation Attack Detection (PAD), we organized three editions of Face Anti-spoofing Workshop and Competition at CVPR 2019, CVPR 2020, and ICCV 2021, which have attracted more than 800 teams from academia and industry, and greatly promoted the algorithms to overcome many challenging problems. However, long-distance face presentation attack based on surveillance scene is still a threat. Specifically, compared with FAS in traditional scenes such as phone unlocking, face payment, and self-service security inspection, FAS in long-distance such as station squares, parks, and self-service supermarkets are equally important, but it has not been sufficiently explored yet. With the goal of giving continuity to our effort in this relevant problem, we are proposing the fourth edition of the Face Anti-Spoofing Workshop and Challenge@CVPR 2023. Unlike the previous editions, where faces were identified by posing in specific situations at a close distance, the 2023 challenge will focus on more general surveillance scenarios, and alleviating the performance degradation of PAD technology in the case of low face resolution, occlusion interference, non-frontal perspective, and other natural person behaviors. Fully considering the above difficulties and challenges, a large-scale High Fidelity Mask dataset based on Surveillance Scenes, namely SuHiFiMask, is released for this fourth edition for algorithm design and competition promotion.

Challenge website: https://lnkd.in/e5d9S8Wa Workshop website: https://lnkd.in/edVWpe7w SuHiFiMask paper: https://lnkd.in/ehikpg7q Participants obtaining the best results will be invited to submit a paper to associated workshop and extended versions to a dedicated Special Issue in a top tier journal (TBA). There will be prizes and travel grants based on availability from our sponsors.

We also solicit submissions in all aspects of facial biometric systems and attacks. We are accepting submissions for revision up to 8 pages (same formatting instructions as CVPR). CMT submissions will be reviewed by at least 2 members of PC committee.


Important competition Dates:

●    1st Feb., 2023: Beginning of the quantitative competition, release of development and validation data.


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Location

Barcelona, Catalonia, Spain