Research at the Visual Inference Lab

At the Visual Inference Lab, we conduct cutting-edge research in several areas of computer vision and machine learning, including semantic segmentation, 3D reconstruction, XAI, domain generalization/robustness, and generative models. Our regularly awarded research leads to numerous publications at leading computer vision and machine learning conferences such as CVPR, ICCV, ECCV, ICLR, NeurIPS, and more. Furthermore, we contributed to a number of highly influential datasets and benchmarks including the Cityscapes Dataset and MOT Challenge.