Our research focuses on generative models for visual data, spatial intelligence for understanding, reconstructing, and reasoning about the 3D world, and their intersection toward building more capable visual intelligence systems.
GSI lab is affiliated with the Department of Computer Science and Engineering at University of California, Merced.
Meet the Team
Latest updates from the Generative Spatial Intelligence Lab.
Recent work from the Generative Spatial Intelligence Lab.
W. Qiu, J. Wang, Z. Gu, V. T. Hu, M. Tang
F. Chen, A. Villa, G. Liang, L. Fuxin, X. Lu, M. Tang
Courses taught at the University of California, Merced.
EECS 242 · Graduate · Fall 2025
State-of-the-art deep learning research including generative models, diffusion models, and foundation models.
DetailsCSE 176 · Undergraduate · Fall 2024
Supervised and unsupervised learning, linear models, neural networks, and practical applications.
DetailsEECS 230 · Graduate · Spring 2024
CNNs, RNNs, Transformers, attention mechanisms, and modern training techniques at scale.
DetailsCSE 185 · Undergraduate · Fall 2023
Image formation, feature detection, segmentation, object recognition, and deep learning for vision.
DetailsCSE 190 · Undergraduate · Spring 2026
Neural network fundamentals, convolutional networks, recurrent models, and practical applications.
Details