Gul Varol is a permanent researcher in the IMAGINE team at Ecole des Ponts ParisTech. Previously, she was a postdoctoral researcher at the University of Oxford (VGG). She obtained her PhD from the WILLOW team of Inria Paris and Ecole Normale Superieure (ENS). Her thesis received PhD awards from ELLIS and AFRIF. She regularly serves as an Area Chair at major computer vision conferences, and will serve as a Program Chair at ECCV'24. Her research interests cover vision and language applications, including video representation learning, human motion synthesis, and sign languages.

Hilde Kuehne is a full professor at the University of Bonn and the MIT-IBM Watson AI Lab. Before she was a professor (W1 tenure-track) at the Computer Science Department in Goethe University Frankfurt, Germany, a researcher at the MIT-IBM Watson AI Lab and a postdoc fellow at Computer Vision Group of Prof. Juergen Gall at the University of Bonn. Her research interests are action recognition and video analysis as well as learning from real world data with limited or no annotation.

Anna Rohrbach joined TU Darmstadt as a full Professor on “Multimodal Grounded Learning" in September 2023, further supported by a €2M LOEWE Start Professorship. Prior to that she was a Research Scientist at UC Berkeley, working with Prof. Trevor Darrell. She completed her PhD at Max Planck Institute for Informatics under supervision of Prof. Bernt Schiele. Her research is at the intersection of vision and language. She has worked on a variety of tasks, including image and video description, visual grounding, visual question answering and text-to-image synthesis. She is interested in building explainable models, diagnosing and addressing bias, and developing new multimodal models that can learn from language advice.

Siyu Tang is an assistant professor in the Department of Computer Science at ETH Zürich. She leads the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Before joining ETH, she received an early career research grant to start my research group at the Max Planck Institute for Intelligent Systems in November 2017. She was a postdoctoral researcher in the same institute, advised by Dr. Michael Black. She obtained her PhD at the Max Planck Institute for Informatics in 2017, under the supervision of Professor Bernt Schiele. Her research focuses on computer vision and machine learning, specializing in perceiving and modeling humans. Her goal is to advance algorithmic foundations of scalable and reliable human digitalization, enabling a broad class of real-​world applications.

Diane Larlus is a Principal Research Scientist and Team Lead at Naver Labs Europe. She is also heading the 'lifelong representation learning' chair, within the MIAI AI research institute. Her research concentrates on self-supervised learning, incremental and online learning, continual domain adaptation. She is interested in retrieval and neural rendering for complex scenes.