12 citations · 30 across the 9 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 3 cited
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models
Hao Zhang, Hongyang Li, Feng Li +8
With the recent significant advancements in large multi-modal models (LMMs), the importance of their grounding capability in visual chat is increasingly recognized. Despite recent…
cs.CV2023★ 1 cited
Visual In-Context Prompting
Feng Li, Qing Jiang, Hao Zhang +9
In-context prompting in large language models (LLMs) has become a prevalent approach to improve zero-shot capabilities, but this idea is less explored in the vision domain. Existin…
cs.CV2023★ 5 cited
T-Rex: Counting by Visual Prompting
Qing Jiang, Feng Li, Tianhe Ren +4
We introduce T-Rex, an interactive object counting model designed to first detect and then count any objects. We formulate object counting as an open-set object detection task with…