Yunze Man

Ph.D Candidate

Computer Science Department

University of Illinois Urbana-Champaign

I am a Ph.D student in Computer Science at the University of Illinois Urbana-Champaign, where I am advised by Yuxiong Wang and Liangyan Gui. My research interests lie in Multi-modal Learning, 3D Vision, and Robotics.

Before coming to UIUC, I received a M.S. in Robotics at Carnegie Mellon University, where I was advised by Kris Kitani. I received a B.S. in Computer Science from Zhejiang University.

Email:
[Google Scholar] [Github] [Twitter]

News

[05/2024] I am proud to be selected as one of the Outstanding Reviewers in CVPR 2024.
[05/2024] Started my internship at NVIDIA Research. Look forward to seeing you in Bay Area!
[02/2024] Our paper Situational Awareness Matters in 3D Vision Language Reasoning has been accepted by CVPR 2024.
[01/2024] Our paper Frozen Transformers from Language Models are Effective Visual Encoder Layers has been accepted by ICLR 2024 (Spotlight).
[07/2023] Our paper DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception has been accepted by IROS 2023.
[03/2023] Our paper BEV-Guided Multi-Modality Fusion for Driving Perception has been accepted by CVPR 2023.
[02/2023] I passed the qualifying exam and officially became a Ph.D. candidate!
[05/2022] I started my internship at Adobe. Look forward to seeing you!

Selected Publications

Please refer to my Google Scholar profile for the full list of publications.

(* indicates equal contribution)

Floating No More: Object-Ground Reconstruction from a Single Image

Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang

Preprint, 2024 / Paper / Project

Situational Awareness Matters in 3D Vision Language Reasoning

Yunze Man, Liang-Yan Gui, Yu-Xiong Wang

CVPR 2024 / Paper / Project

Frozen Transformers from Language Models are Effective Visual Encoder Layers

Ziqi Pang, Ziyang Xie*, Yunze Man*, Yu-Xiong Wang

ICLR 2024 / Paper / Project

Spotlight presentation

DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception

Yunze Man, Liang-Yan Gui, Yu-Xiong Wang

IROS 2023 / Paper / Project

BEV-Guided Multi-Modality Fusion for Driving Perception

Yunze Man, Liang-Yan Gui, Yu-Xiong Wang

CVPR 2023 / Paper / Project

Multi-echo LiDAR for 3D Object Detection

Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakumar, Matthew O'Toole, Kris Kitani

ICCV 2021 / Demo / Paper / Poster

GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with 2D-3D Multi-Feature Learning

Xinshuo Weng, Yongxin Wang, Yunze Man, Kris Kitani

CVPR 2020 / Paper / Slides / Project

Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net

Yunze Man*, Yangsibo Huang*, Junyi Feng, Xi Li, Fei Wu

TMI 2019 / Paper

Experience

[05/2024 ~ 08/2024], NVIDIA Research, Research Intern, hosted by Zhiding Yu, De-An Huang, and Gulin Liu
[05/2022 ~ 01/2023], Adobe Research, Research Intern, hosted by Jianming Zhang
[08/2019 ~ 07/2021], CMU Robotics Institute, Research Assistant, supervised by Prof. Kris Kitani

Professional Service

Organizing Committee

Program Committee, Artificial Intelligence for Autonomous Driving
(co-located with IJCAI 2021)

Reviewer for CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, AAAI, IROS, ICRA
2021 - 2024
Teaching Assisant

Learining to Learn (CS598), UIUC
Fall 2022
Efficient & Predictive Vision (CS598), UIUC
Spring 2022
Machine Learning (CS446), UIUC
Fall 2021
Computer Vision Capstone (16-621), CMU
Spring 2020, 2021

Contact

University of Illinois Urbana-Champaign & Computer Science Department
201 N Goodwin Ave
Urbana, IL 61801