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cs.CV2025
Spatially Grounded Concept-Based Image Classification
Ran Eisenberg, Amit Rozner, Ethan Fetaya +1
Deep neural networks can achieve high accuracy while relying on evidence that is hard to inspect or misaligned with the intended task. Concept Bottleneck Models (CBMs) expose human…
eess.AS2025
Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior
Yochai Yemini, Rami Ben-Ari, Sharon Gannot +1
In this paper, we address the problem of single-microphone speech separation in the presence of ambient noise. We propose a generative unsupervised technique that directly models b…