activity
20232026
most citedMineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving

Yuzhou Huang, Benjin Zhu, Hengtong Lu +6

Autonomous driving has progressed from modular pipelines toward end-to-end unification, and Vision-Language-Action (VLA) models are a natural extension of this journey beyond Visio…

cs.CV20251 cited

ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning

Yuzhou Huang, Ziyang Yuan, Quande Liu +6

Text-to-video generation has made remarkable advancements through diffusion models. However, Multi-Concept Video Customization (MCVC) remains a significant challenge. We identify t…

cs.CV2024

Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity

Hanqi Jiang, Xixuan Hao, Yuzhou Huang +4

This paper introduces an innovative approach to Medical Vision-Language Pre-training (Med-VLP) area in the specialized context of radiograph representation learning. While conventi…

cs.CV2024

Story3D-Agent: Exploring 3D Storytelling Visualization with Large Language Models

Yuzhou Huang, Yiran Qin, Shunlin Lu +4

Traditional visual storytelling is complex, requiring specialized knowledge and substantial resources, yet often constrained by human creativity and creation precision. While Large…

cs.CV20242 cited

MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control

Enshen Zhou, Yiran Qin, Zhenfei Yin +5

It is a long-lasting goal to design a generalist-embodied agent that can follow diverse instructions in human-like ways. However, existing approaches often fail to steadily follow…

cs.CV2023

SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models

Yuzhou Huang, Liangbin Xie, Xintao Wang +8

Current instruction-based editing methods, such as InstructPix2Pix, often fail to produce satisfactory results in complex scenarios due to their dependence on the simple CLIP text…