activity
20232025
most citedGPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

10 citations · 10 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2025

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding

Xingyu Fu, Minqian Liu, Zhengyuan Yang +6

Structured image understanding, such as interpreting tables and charts, requires strategically refocusing across various structures and texts within an image, forming a reasoning s…

cs.CV2024

Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation

Jitesh Jain, Zhengyuan Yang, Humphrey Shi +2

In recent times, the standard practice for developing MLLMs is to feed features from vision encoder(s) into the LLM and train with natural language supervision. This approach often…

cs.CV2024

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs

An Yan, Zhengyuan Yang, Junda Wu +8

Set-of-Mark (SoM) Prompting unleashes the visual grounding capability of GPT-4V, by enabling the model to associate visual objects with tags inserted on the image. These tags, mark…

cs.CV2023

Interfacing Foundation Models' Embeddings

Xueyan Zou, Linjie Li, Jianfeng Wang +10

Foundation models possess strong capabilities in reasoning and memorizing across modalities. To further unleash the power of foundation models, we present FIND, a generalized inter…

cs.CV202310 cited

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

An Yan, Zhengyuan Yang, Wanrong Zhu +9

We present MM-Navigator, a GPT-4V-based agent for the smartphone graphical user interface (GUI) navigation task. MM-Navigator can interact with a smartphone screen as human users,…