Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 4 of 4 for “"Latent Diffusion Models"”.
-
Latent diffusion for generative visual attribution in medical image diagnostics
… to the inherent learning nature of these latter models, they are typically not easily interpretable/explainable to clinicians). State-of-the-art techniques in visual attribution generally consist of different variants of deep neural networks, implemented as classifiers, or segmenters. However, …
-
LEARNING STRUCTURED ALIGNMENT: FROM VISUAL UNDERSTANDING TO ROBOT CONTROL
… approaches: UVIS, which leverages foundation models (DINO and CLIP) for unsupervised segmentation without dense annotations, and PointVIS, which achieves competitive performance using only point-level supervision through class-agnostic proposal generation and spatio-temporal matching. Finally, …
-
Data-driven cyber-physical energy systems
… low fairness. For instance, DSERs performance models are not very accurate and cannot detect damage or degradation conditions accurately. The energy sharing among DSERs is suffering low efficiency and low fairness. To address these problems, this dissertation presents data-driven cyber-physical …
-
Hardware acceleration of neural graphics
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms