Zhihao Zhang (张志浩)

I am a second-year CS Ph.D. student focusing on 3D computer vision at Michigan State University (MSU), where my advisor is Prof. Xiaoming Liu. Before that, I graduated from Xi’an Jiaotong University (XJTU) with a Bachelor & Master degree in Computer Science, advised by Prof. Weizhan Zhang.

Prior to joining MSU, I interned at University of Illinois Urabana-Champaign (UIUC) with Prof. Yu-Xiong Wang.

           

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Research

My research interests lie at the intersection of multi-modal learning and computer vision with the long-term goal of empowering computational models to better perceive and interact with the 3D visual world. Currently, I'm working on:

  • 3D shape understanding, 3D object detection for autonomous driving
  • Multi-modal learning for 3D perception
  • Spatial intelligence in VLMs

News
  • [2026.02] Two first-author papers accepted by CVPR 2026!
  • [2026.01] I will join TikTok as a Research Intern in summer 2026! See you in San Jose!
  • [2025.07] One paper accepted by ICCV 2025!
  • [2024.08] Joined MSU as a Ph.D. student!
  • [2024.06] Honored with the Outstanding Graduate Thesis Award at XJTU!
  • [2024.02] One first-author paper accepted by CVPR 2024!
  • [2023.11] Honored with the National Scholarship!
Selected Publications
Towards Intrinsic-Aware Monocular 3D Object Detection
Zhihao Zhang, Abhinav Kumar, Xiaoming Liu
CVPR 2026
Project Page / Code / Paper
Unleashing the Power of Chain-of-Prediction for Monocular 3D Object Detection
Zhihao Zhang, Abhinav Kumar, Girish Chandar Ganesan, Xiaoming Liu
CVPR 2026
Project Page / Code / Paper
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector
Abhinav Kumar, Yuliang Guo, Zhihao Zhang, Xinyu Huang, Liu Ren, Xiaoming Liu
ICCV 2025
Project Page / Code / Paper
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
Zhihao Zhang*, Shengcao Cao*, Yu-Xiong Wang
CVPR 2024
Project Page / Code / Paper
Tile Classification Based Viewport Prediction with Multi-modal Fusion Transformer
Zhihao Zhang*, Yiwei Chen*, Weizhan Zhang, Caixia Yan, Qinghua Zheng, Qi Wang, Wangdu Chen
ACM MM 2023
Project Page / Code / Paper
(* means equal contribution)