WA4a.4

Geom3DSBO: Self-supervised learning meets Bayesian optimization for geometry-informed 3D reconstruction

Konstantinos D. Polyzos, University of California San Diego, United States; Athanasios Bacharis, NVIDIA, United States; Tara Javidi, University of California San Diego, United States
Session:
WA4a: Probabilistic Methods for Machine Learning and Signal Processing Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Room 4
Presentation Time:
Wed, 28 Oct, 09:30 - 09:55 PT (UTC -7)
Session Chair:
Qin Lu, University of Georgia, United States
Presentation
Discussion
Resources
No resources available.
Session WA4a
WA4a.1: Importance-Weighted Multimodal Diffusion Models with Gaussian Mixtures and Robustness to Outliers
Alireza Sadeghi, Leonidas Tsigkounakis, Georgios B. Giannakis, University of Minnesota, United States
WA4a.2: Unifying Selective Dynamics and Attention in State Space Models
Marzieh Ajirak, Cornell University, United States; Petar Djuric, Stony Brook University, United States
WA4a.3: Communication Efficient Federated Gaussian Processes
Kainat Ijaz, Georgia State University, United States; Jinwen Xu, Qin Lu, University of Georgia, United States; Ping Xu, Georgia State University, United States
WA4a.4: Geom3DSBO: Self-supervised learning meets Bayesian optimization for geometry-informed 3D reconstruction
Konstantinos D. Polyzos, University of California San Diego, United States; Athanasios Bacharis, NVIDIA, United States; Tara Javidi, University of California San Diego, United States
Contacts