3 papers
cs.CV2026
Wiener Representation Filtering for VLM Hallucination Suppression
Ameen Ali, Tamim Zoabi, Lidor Brami +1
Vision-language models (VLMs) excel at open-ended captioning and visual QA but often describe objects, attributes, or relations absent from the image, a phenomenon known as object…
cs.CV2025
Suppressing VLM Hallucinations with Spectral Representation Filtering
Ameen Ali, Tamim Zoabi, Lior Wolf
Vision-language models (VLMs) frequently produce hallucinations in the form of descriptions of objects, attributes, or relations that do not exist in the image due to over-reliance…
cs.SD2025
Deep Active Speech Cancellation with Mamba-Masking Network
Yehuda Mishaly, Lior Wolf, Eliya Nachmani
We present a novel deep learning network for Active Speech Cancellation (ASC), advancing beyond Active Noise Cancellation (ANC) methods by effectively canceling both noise and spee…