Haiwen Huang

I am Haiwen Huang (黄海文), a PhD student at University of Tübingen, co-supervised by Prof. Andreas Geiger and Dr. Dan Zhang, starting in Jan. 2022. Starting mid-2026, I will join Prof. Moritz Hardt’s group at the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen.

My PhD research focuses on improving the generalization of vision and multimodal models, enabling them to perform robustly across diverse tasks and domains. For example, I have developed methods that leverage 3D priors to enhance 2D object detection in GOOD (ICLR 2023) and use self-distillation to upsample features in Vision Foundation Models in LoftUp (ICCV 2025). I have also contributed to building more reliable evaluations of open-vocabulary generalization in RENOVATE (NeurIPS 2024).

Before my PhD, I completed my MSc in CS at University of Oxford, advised by Prof. Yarin Gal, and my undergrad in Mathematics at Peking University, advised by Prof. Bin Dong. I also worked as a researcher at Megvii (Face++) with Xinyu Zhou, studying large-scale annotation and OoD detection.

I am honored to receive the NeurIPS 2024 Top Reviewer Award and the CVPR 2025 Outstanding Reviewer Award.