OpenEnvision
OpenEnvision welcomes students, researchers, engineers, and institutional partners who want to advance open vision intelligence through rigorous science, reusable systems, and responsible public releases.
We are most excited by people and teams who can connect a real research question with careful experiments, well-maintained artifacts, and a willingness to contribute back to the open community.
Students and Visitors
For PhD, master, undergraduate, and visiting researchers working with affiliated mentors. Strong candidates usually bring a clear research taste, implementation ability, and evidence of independent follow-through.
Research Collaboration
We welcome collaborations around new methods, evaluation protocols, data resources, and reproducible releases across world modeling, multimodal reasoning, visual systems, and embodied intelligence.
Open Infrastructure
Contributors can help with training and evaluation code, demos, documentation, dataset cards, benchmark maintenance, annotation tools, and release quality checks.
Institutional Partners
We look for partnerships with complementary expertise, credible data or deployment questions, shared evaluation needs, and a commitment to publish reusable outcomes whenever appropriate.
OpenEnvision is built around public research artifacts. We value work that is ambitious enough to move the field and careful enough for others to inspect, reuse, reproduce, and extend.
Clear problem framing, thoughtful baselines, and an instinct for questions that matter.
Reliable code, clean experiments, strong writing, and visible progress under ambiguity.
Metrics, protocols, ablations, and qualitative analysis that support real claims.
Reusable artifacts, documentation, licenses, model or data cards, and versioned updates.
Respectful communication, clear ownership, and readiness to work across institutions.
Attention to data provenance, limitations, intended use, and community impact.
Contact
OpenEnvision welcomes collaborations in many forms, from research ideas and open-source contributions to datasets, benchmarks, demos, and institutional partnerships. Formal participation depends on project fit, mentor availability, and the policies of the relevant universities, companies, and partner labs.
Formal roles, visiting arrangements, internships, and student supervision are handled through the relevant partner institutions and project mentors.
