Justin Johnson
University of Michigan CSE · Assistant Professor of Computer Science and Engineering
Research focus: computer vision · deep learning · vision and language · generative image models
保护项 Justin Johnson 的自动审核：作为计算机视觉申请人，准备一份可发表的视觉语言、图像生成、3D 推理、视觉推理或表示学习类可发表作品。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: computer vision · deep learning).
- Strong fit for applicants in computer vision, deep learning, vision-language models, generative images, and 3D/scene understanding; use project-level evidence because the visible lab alumni tree is sp
- 你想把 ML 接到真实数据与落地问题（当前信号：computer vision · deep learning）。
- 适合申请保护对象为 computer vision、deep learning 的申请人，特别是针对视觉语言模型、生成式图像及三维/场景理解领域的申请者；鉴于可见实验室校友树稀疏，请提供项目层面的证据。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
Public evidence as of 2026-06-10
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