---
title: "Feng Li — papers of 2023 — 1 paper, the most cited first"
description: "Feng Li — papers of 2023: 1 paper on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/feng-li/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/feng-li/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Feng Li](https://md.research.elamur.ai/free/en/authors/feng-li/) / 2023

# Feng Li — papers of 2023 — 1 paper, the most cited first

1 paper · [all years of Feng Li](https://md.research.elamur.ai/free/en/authors/feng-li/#years)

- [Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection arXiv:2303.05499](https://md.research.elamur.ai/free/en/papers/liu-2023-grounding-dino-marrying-dino-grounded/) — Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al. · 2023 · 472 citations
