In today’s AI landscape, visibility is harder than ever. The pace is breakneck, arXiv is overflowing, and the pressure to perform is real. So how do early-career researchers cut through the noise?

How do you define a research identity without chasing trends?
How do you publish with purpose, not just pace?
How do you explore emerging areas without getting lost in the noise?
How do you balance mentorship with momentum?

In its third year, this CVPR community-building workshop we bring voices across CV, NLP, ML, and Robot Learning -- Andrea, Carl, Dima, Gül, Jia-Bin, Laura, Ludwig, Saining, Sara, and Shuran -- to answer these questions and more. This is an open forum to share insights, frustrations, and hacks — because no one builds a research career alone.