Mingze Xu

Researcher, Adobe Systems

Joined

July 2019

Names

Mingze Xu (Preferred)

Emails

****@indiana.edu (Confirmed)

****@amazon.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Researcher

Adobe Systems (adobe.com)

2025 – Present

Researcher

Apple (apple.com)

2024 – 2025

Researcher

GM Cruise LLC (getcruise.com)

2022 – 2024

Researcher

Amazon (amazon.com)

2020 – 2022

PhD student

Indiana University (indiana.edu)

2015 – 2020

Advisors, Relations & Conflicts

PhD Advisor

David Crandall

2015 – 2020

Expertise

Multimodal Foundation Models

Present

Generative AI

Present

Action and Activity Recognition

Present

Multi-Object Tracking

Present

Unified Models

Present

Publications

AToken: A Unified Tokenizer for Vision
Jiasen Lu, Liangchen Song, Mingze Xu, Byeongjoo Ahn, Yanjun Wang, Chen Chen, Afshin Dehghan, Yinfei Yang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation
Rui Tian, Mingfei Gao, Mingze Xu, Jiaming Hu, Jiasen Lu, Zuxuan Wu, Yinfei Yang, Afshin Dehghan
- NeurIPS 2025 poster
- Readers: Everyone
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
Haibo Wang, Bo Feng, Zhengfeng Lai, Mingze Xu, Shiyu Li, Weifeng Ge, Afshin Dehghan, Meng Cao, Ping Huang
- NeurIPS 2025 poster
- Readers: Everyone
SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding
Mingze Xu, Mingfei Gao, Shiyu Li, Jiasen Lu, Zhe Gan, Zhengfeng Lai, Meng Cao, Kai Kang, Yinfei Yang, Afshin Dehghan
- COLM 2025
- Readers: Everyone
SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding
Mingze Xu, Mingfei Gao, Shiyu Li, Jiasen Lu, Zhe Gan, Zhengfeng Lai, Meng Cao, Kai Kang, Yinfei Yang, Afshin Dehghan
- CoRR 2025
- Readers: Everyone
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang et al. (1 additional authors not shown)
- ICLR 2025
- Readers: Everyone
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang et al. (3 additional authors not shown)
- ICLR 2025 Poster
- Readers: Everyone
SlowFast-LLaVA: A strong training-free baseline for video large language models
Mingze Xu, Mingfei Gao, Zhe Gan, Hong-You Chen, Zhengfeng Lai, Haiming Gang, Kai Kang, Afshin Dehghan
- Submitted to ICLR 2025
- Readers: Everyone
DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella M. Atkins, David J. Crandall
- IEEE Trans. Pattern Anal. Mach. Intell. 2023
- Readers: Everyone
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
- Published: 01 Jan 2023, Last Modified: 29 Sept 2023
- CoRR 2023
- Readers: Everyone

View all 30 publications

Co-Authors

View all 90 co-authors