Two independent ML/CV researchers (M.Eng, ex-research-institute in Europe) looking for an arXiv cs.CV endorser for a nearly finished paper. Happy to share the full draft, repo, or talk collaboration [D]

Hey everyone,

hope this is okay to post here.

My co-author and I are currently between institutional affiliations, which means we don't have the academic email arXiv needs for an endorsement. We're hoping to find someone in cs.CV willing to take a quick look at our paper and endorse it if it meets your bar.

The project: Locate-SAM2

We built a training-free pipeline connecting NVIDIA's LocateAnything-3B to Meta's SAM 2.1 through a lightweight adapter. The question we wanted to answer was simple: in a modular text-to-mask pipeline where everything is frozen, does the choice of grounder actually matter for the final mask?

A few specifics, since the details are what tell you we're not just generating noise:

On RefCOCO val, our system reaches 0.772 mIoU versus 0.717 for Grounding DINO Base, using the same SAM 2.1 backend throughout.

RefCOCO appears in LocateAnything's training data, so we frame this honestly as in-domain benchmarking, not zero-shot transfer. We're not pretending otherwise.

The paper has controlled comparisons across RefCOCO/+/g, adapter ablations, a ground-truth box oracle, a failure taxonomy, and a nonsense-prompt probe showing the pipeline needs abstention logic.

Code is on GitHub and the paper is close to submission-ready.

What we're hoping for

Mainly an endorsement: someone to read the draft and, if they think it holds up, endorse us on arXiv. We'd acknowledge it and that's the whole ask.

If anyone wants to get more involved, we're open to expanding the experiments or pointing the paper at a specific venue, and we'd talk co-authorship based on real contribution. We also have separate work in progress in physically-constrained DL, geospatial AI, and AI governance, in case any of that overlaps with what you do.

We're not looking for a blind voucher. Drop a comment or a DM and we'll share the PDF and the repo.

Happy to answer questions, and thanks for reading.