Jiahao Xie

Dr. Jiahao Xie is a researcher at the Max Planck Institute for Informatics, affiliated with the Computer Vision and Machine Learning department. Located at the Saarland Informatics Campus in Saarbrücken, Germany, he conducts cutting-edge research in visual computing and machine learning with a focus on robustness and adaptation of computer vision models.

His research interests center around computer vision and machine learning, with specific expertise in test-time adaptation techniques and evaluating model robustness under distribution shifts. Xie's work addresses critical challenges in making computer vision systems more adaptable to real-world scenarios where input data may differ from training conditions. His research employs advanced techniques including diffusion models, neural network adaptation, and benchmarking methodologies to tackle these problems.

Recent publications demonstrate his focus on developing methods for visual in-context learning during test time and creating comprehensive benchmarks for evaluating classifier robustness. His research has been accepted to top-tier computer vision conferences including CVPR and ICCV in 2025, indicating significant contributions to the field.

Dr. Xie collaborates with prominent researchers in the field including Bernt Schiele, Federico Tombari, and Christian Theobalt, suggesting strong integration within the computer vision research community at MPI and beyond.