Mingqiao Ye

I am a PhD student in Computer Science at EPFL, VILAB, supervised by Prof. Amir Zamir. My research focuses on multi-modal foundation models. I am interested in how to build unified AI models that can effectively work with different types of data through pre-training, post-training, and reasoning approaches.

I received my M.Sc. degree from ETH Zurich, where I worked with Dr. Lei Ke and Dr. Martin Danelljan. I received my B.Sc. degree from Zhejiang University. Previously, I have interned at Adobe Research with Dr. Joon-Young Lee.

Publications

* denotes equal contribution

Gaussian Grouping: Segment and Edit Anything in 3D Scenes

Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke

ECCV 2024

Gaussian Grouping for open-world 3D Anything reconstruction, segmentation and editing.

[PDF] [arXiv] [Code ]

Segment Anything in High Quality

Lei Ke^*, Mingqiao Ye^*, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu

NeurIPS 2023

We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation.

[PDF] [arXiv] [Code ]

Cascade-DETR: Delving into High-Quality Universal Object Detection

Mingqiao Ye^*, Lei Ke^*, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu

ICCV 2023

Promoting DETR's detection accuracy in universal domains via cascade attention.

[PDF] [arXiv] [Code ]

Experience

PhD Student in Computer Science

EPFL

Sep 2024 - Present

Research Intern

Adobe

May 2024 - Aug 2024

M.Sc. in Electrical Engineering and Information Technology

ETH Zurich

Sep 2021 - May 2024

B.Sc. in Electronic Information Engineering

Zhejiang University

Sep 2017 - Jun 2021

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