Hilde Kuehne is a professor for Multimodal Learning at the Tuebingen AI Center and affiliated professor at the MIT-IBM Watson AI Lab. Her research focuses on video understanding, mainly learning without labels and multimodal learning. She is currently serving as an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence and has been continuously serving as area chair for various conferences such as CVPR, ICCV, ECCV, and WACV.

Angela Dai is an Associate Professor at the Technical University of Munich where she leads the 3D AI Lab. Angela's research focuses on understanding how real-world 3D scenes around us can be modeled and semantically understood. Previously, she received her PhD in computer science from Stanford in 2018, advised by Pat Hanrahan, and her BSE in computer science from Princeton in 2013. Her research has been recognized through an ECVA Young Researcher Award, ERC Starting Grant, Eurographics Young Researcher Award, German Pattern Recognition Award, Google Research Scholar Award, and an ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention.

Thu Nguyen is research scientist at Meta Reality Labs in London, specializing in 3D and 4D vision and graphics, with a focus on neural and inverse rendering. Her research interests include generative models and their applications to real-world problems, particularly in the creative industry. She completed her PhD at the University of Bath, collaborating with University College London and industry labs such as Adobe, Meta Reality Labs, and DeepMind. Before pursuing research, She studied Architecture for her undergraduate degree and completed a Master’s in Computational Architecture & Robotic Construction.