About me
I am a first-year PhD student at the Khoury College of Computer Sciences, Northeastern University, advised by Prof. Ehsan Elhamifar. I also work closely with Prof. Lorenzo Torresani. Before Northeastern, I received my MSc in Data Science from ETH Zürich, where I worked on egocentric vision with Dr. Xi Wang, Prof. Marc Pollefeys at CVG, and Prof. Luc Van Gool at CVL, as well as agriculture-vision projects with the Swiss Data Science Center. I obtained my dual B.S. in Data Science and Applied Mathematics from the University of Rochester 🐝
My research interests lie in egocentric video understanding, AI task assistants, and 3D vision.
Publications
 | EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting Daiwei Zhang, Gengyan Li, Jiajie Li, Mickaël Bressieux, Otmar Hilliges, Marc Pollefeys, Luc Van Gool, Xi Wang International Conference on 3D Vision (3DV) 2025 Project / arXiv / Code Recontruct 3D scenes and dynamically tracking 3D object motion from RGB egocentric input alone. |
 | In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting Daiwei Zhang*, Joaquin Gajardo*, Tomislav Medic, Isinsu Katircioglu, Mike Boss, Norbert Kirchgessner, Achim Walter, Lukas Roth CVPR 2025 Workshop V4A Project / arXiv / Code A multi-scale reconstruction pipeline capable of modeling both the entire wheat field and individual wheat heads, using high-throughput RGB data collected with the Field Phenotyping Platform (FIP). |
 | MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps Xue Xia, Daiwei Zhang, Wenxuan Song, Wei Huang, Lorenz Hurni GIScience & Remote Sensing 2025 Paper / arXiv A parameter-efficient fine-tuning strategy that adapts SAM into a prompt-free and versatile solution for various downstream historical map segmentation tasks. |
 | The COVID-19 pandemic and mental health concerns on Twitter in the U.S. Senqi Zhang, Li Sun, Daiwei Zhang, Pin Li, Yue Liu, Ajay Anand, Zidian Xie, Dongmei Li Health Data Science 2022 Paper |
Projects
 | MoE Technique on LLM for Math Reasoning Problems Final Project for Computational Semantics for Natural Language Processing Report Improved the performance of GPT2 and DialoGPT on multi-step mathematical reasoning problems by applying Mixture-of-Experts technique to a novel reasoning scheme called Socratic chain-of-thoughts (CoT). |
 | DeepQSort Data Science Lab project with Empa Code A ViT-based pipeline for efficient wood quality assessment. |