2 papers
cs.CV2025
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation
Chenliang Zhou, Fangcheng Zhong, Cengiz Oztireli
Recently introduced Contrastive Language-Image Pre-Training (CLIP) bridges images and text by embedding them into a joint latent space. This opens the door to ample literature that…
eess.SY2025
Comparing Parameterizations and Objective Functions for Maximizing the Volume of Zonotopic Invariant Sets
Chenliang Zhou, Heejin Ahn, Ian M. Mitchell
In formal safety verification, many proposed algorithms use parametric set representations and convert the computation of the relevant sets into an optimization problem; consequent…