Guofeng Zhang

I am currently a 2nd year PhD student in the department of Computer Science, Johns Hopkins University. I am a member of CCVL, advised by Bloomberg Distinguished Professor Dr. Alan Yuille. My current research focus is on 3D vision and robust vision. Previously, I received my Bachelor degree with a double major in Computer Science and Applied Mathematics from UCLA in 2023. During my undergraduate years, I spent a good time with prof. Cho-Jui Hsieh and prof. M. Khalid Jawed.

Google Scholar / Email: zhangguofeng1123@gmail.com

Selected Publications

	Scaling 3D Compositional Models for Robust Classification and Pose Estimation Xiaoding Yuan, Guofeng Zhang, Prakhar Kaushik, Artur Jesslen, Adam Kortylewski, and Alan Yuille Under review, Conference on Computer Vision and Pattern Recognition (CVPR), 2025* Large-scale robust classification and 3D pose estimation model applicable to 200+ rigid object categories.
	Development and Validation of Computer Vision for Quantification of Children's Micro-Activities Guofeng Zhang, Jiahao Wang, Qihao Liu, Zhang Yi, Jiawei Peng, Xingrui Wang, Xiaoding Yuan, Yin Oscar, Alan Yuille, Sara Lupolt, and Keeve E. Nachman. Under review, Journal of Exposure Science and Environmental Epidemiology, 2025 New baby-video dataset and 3D keypoints detections of baby in real-world.
	ImageNet3D: Towards General-Purpose Object-Level 3D Understanding Wufei Ma, Guofeng Zhang , Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, and Alan Yuille Advances in Neural Information Processing Systems (NeurIPS, Dataset Track), 2024 paper / bibtex Large scale rigid object dataset with 3D information.
	NOVUM: Neural Object Volumes for Robust Object Classification Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan Yuille, and Adam Kortylewski The European Conference on Computer Vision (ECCV), 2024 paper / bibtex Robust and fast Classification and 3D-Pose estimation of objects in single-pass.
	Deep-CNN based Robotic Multi-Class Under-Canopy Weed Control in Precision Farming Yayun Du, Guofeng Zhang, Darren Tsang, and Mohammad Khalid Jawed International Conference on Robotics and Automation (ICRA), 2022 paper / bibtex A real-world depolyable precision farming pipeline with weeds dataset.

Peer Reviewer

Conference: CVPR, ECCV, NeurIPS, ICLR, AAAI, etc.

Guofeng Zhang

Selected Publications

Scaling 3D Compositional Models for Robust Classification and Pose Estimation

Development and Validation of Computer Vision for Quantification of Children's Micro-Activities

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding

NOVUM: Neural Object Volumes for Robust Object Classification

Deep-CNN based Robotic Multi-Class Under-Canopy Weed Control in Precision Farming

Peer Reviewer