Sergio Escalera

Associate professor at UB
Research area: Statistics / Computer Science

PhD in Computer Science obtained at UAB (2008)

Biosketch

 Sergio Escalera obtained the P.h.D. degree on Multi-class visual categorization systems at Computer Vision Center, UAB. He obtained the 2008 best Thesis award on Computer Science at Universitat Autònoma de Barcelona. He is ICREA Academia. He leads the Human Pose Recovery and Behavior Analysis Group at UB, CVC, and the Barcelona Graduate School of Mathematics. He is Full Professor at the Department of Mathematics and Informatics, Universitat de Barcelona. He is an adjunct professor at Universitat Oberta de Catalunya, Aalborg University, and Dalhousie University. He has been visiting professor at TU Delft and Aalborg Universities. He is a member of the Visual and Computational Learning consolidated research group of Catalonia. He is also a member of the Computer Vision Center at UAB. He is series editor of The Springer Series on Challenges in Machine Learning. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is co-creator of Codalab open source platform for challenges organization. He is also Fellow of the European Laboratory for Learning and Intelligent Systems ELLIS working within the Human-centric Machine Learning program, the AERFAI Spanish Association on Pattern Recognition, ACIA Catalan Association of Artificial Intelligence, INNS, and Chair of IAPR TC-12: Multimedia and visual information systems. He has different patents and registered models. He has published more than 300 research papers and participated in the organization of scientific events. He has been guest editor at JMLR, TPAMI, IJCV, TAC, PR, MVA, JIVP, Expert Systems, and Neural Comp. and App. He has been General co-Chair of FG20, Area Chair at WACV16, NeurIPS16, AVSS17, FG17, ICCV17, WACV18, FG18, BMVC18, NeurIPS18, FG19, BMVC19, ICIAP21 and Competition and Demo Chair at FG17, NeurIPS17, NeurIPS18, ECMLPKDD19 and FG19. His 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.

Research lines

  • Computer Vision
  • Deep Learning
  • Human Analysis
  • eHealth and welfare

Selected publications

  • Ciprian A. Corneanu, Sergio Escalera, Aleix M. Martinez, Computing the Testing Error Without a Testing Set, Computer Vision and Pattern Recognition, CVPR, 2020.

     

  • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz, Gate-Shift Networks for Video Action Recognition, Computer Vision and Pattern Recognition, CVPR, 2020.

     

  • Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera, Aleix M. Martinez, What does it mean to learn in deep networks? And, how does one detect adversarial attacks?, IEEE Computer Vision and Pattern Recognition, CVPR, 2019.

     

  • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz, LSTA: Long Short-Term Attention for Egocentric Action Recognition, IEEE Computer Vision and Pattern Recognition, CVPR, 2019.

     

  • Miguel Angel Bautista, Oriol Pujol, Fernando De la Torre, and Sergio Escalera, Error-Correcting Factorization, IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, vol. 40, issue 10, pp. 2388-2401, 2018.

     

  • Ciprian A. Corneanu, Marc Oliu, Jeffrey F. Cohn, and Sergio Escalera, Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.