My Ph.D. was focused on domain-robust and label-efficient visual scene understanding including domain-adaptive, domain-generalizable, semi-supervised, self-supervised, language-guided, and generative learning for semantic segmentation. During my Ph.D., I also interned at Google to work on vision-language models for label-efficient semantic segmentation.