Organizers


Sergio Escalera

Computer Vision Center (UAB) and University of Barcelona, Spain

sergio.escalera.guerrero@gmail.com

Sergio Escalera is Full Professor at the Department of Mathematics and Informatics, Universitat de Barcelona, where he is the head of the Informatics degree. He is ICREA Academia. He leads the Human Pose Recovery and Behavior Analysis Group. He is Distinguished Professor at Aalborg University. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is also Fellow of the ELLIS European Laboratory for Learning and Intelligent Systems working within the Human-centric Machine Learning program. He participated in several international funded projects and received an Amazon Research Award. He has published more than 300 research papers and received a CVPR best paper award nominee and a CVPR outstanding reviewer award.

Thomas B. Moeslund

Aalborg University, Aalborg, Denmark

tbm@create.aau.dk

Julio C. S. Jacques Junior

University of Barcelona (UB), Spain

juliojj@gmail.com

Julio C. S. Jacques Junior is an assistant professor at University of Barcelona (UB) and a research collaborator within Computer Vision Center (CVC). Member of the Human Pose Recovery and Behavior Analysis (HUPBA) group, he also collaborates within within ChaLearn and ChaLearn (LAP) Looking at People. He helped to organize workshops and challenges at high impact conferences (e.g., NeurIPS, CVPR, ECCV, ICCV). His research interests include, among others, computer vision-based applications with a particular focus on visual human behavior analysis.

Kamal Nasrollahi

Milestone Systems and Aalborg University, Denmark

kn@create.aau.dk

Kamal Nasrollahi got his PhD on computer vision and machine learning in 2011 from Aalborg University in Denmark. He is currently working as Director of Research at Milestone Systems A/S and Professor of Computer Vision and Machine Learning at Aalborg University. Kamal has published more than 130 papers on various topics, like object detection, tracking, anomaly detection, and image enhancement.

Anders Skaarup Johansen

Aalborg University, Denmark

asjo@create.aau.dk

Radu Ionescu

University of Bucharest, Romania

raducu.ionescu@gmail.com

Fahad Shahbaz Khan

Mohamed bin Zayed University of Artificial Intelligence and Linköping University, Abu Dhabi / Sweden

fahad.khan@liu.se

Anthony Hoogs

Kitware, USA

anthony.hoogs@kitware.com

Shmuel Peleg

Hebrew University, Israel

peleg@mail.huji.ac.il

Mubarak Shah

University of Central Florida, USA

shah@crcv.ucf.edu

News


ECCV2022 Seasons in Drift Challenge

The ChaLearn ECCV2022 Seasons in Drift Challenge has just opened on Codalab. Join us to push the boundaries of thermal object detection along with concept drift on the largest annotated public thermal database.