9 papers
Multi Codec Discrete Diffusion Model for Text Guided Speech Inpainting and Editing
Iftach Shoham, Tali Dror, Oren Gal +3
Speech recordings often contain missing, corrupted, or incorrect regions that must be reconstructed or modified without re-synthesizing the entire utterance. Speech inpainting rest…
Split and Conquer Partial Deepfake Speech
Inbal Rimon, Oren Gal, Haim Permuter
Partial deepfake speech detection requires identifying manipulated regions that may occur within short temporal portions of an otherwise bona fide utterance, making the task partic…
Where Vision Becomes Text: Locating the OCR Routing Bottleneck in Vision-Language Models
Jonathan Steinberg, Oren Gal
Vision-language models (VLMs) can read text from images, but where does this optical character recognition (OCR) information enter the language processing stream? We investigate th…
Autonomous Oil Spill Response Through Liquid Neural Trajectory Modeling and Coordinated Marine Robotics
Hadas C. Kuzmenko, David Ehevich, Oren Gal
Marine oil spills pose grave environmental and economic risks, threatening marine ecosystems, coastlines, and dependent industries. Predicting and managing oil spill trajectories i…
Token-Based Audio Inpainting via Discrete Diffusion
Tali Dror, Iftach Shoham, Moshe Buchris +4
Audio inpainting seeks to restore missing segments in degraded recordings. Previous diffusion-based methods exhibit impaired performance when the missing region is large. We introd…
CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems
Haochen Zhang, Tianyi Zhang, Junze Yin +3
Recommender systems play a pivotal role in providing relevant content to users. With the rapid development of large language models (LLMs), researchers have begun utilizing LLMs to…
AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning
Assaf Lahiany, Oren Gal
Current visual SLAM systems face significant challenges in balancing computational efficiency with robust loop closure handling. Traditional approaches require careful manual tunin…
Unmasking Deepfakes: Leveraging Augmentations and Features Variability for Deepfake Speech Detection
Inbal Rimon, Oren Gal, Haim Permuter
Deepfake speech detection presents a growing challenge as generative audio technologies continue to advance. We propose a hybrid training framework that advances detection performa…
Robust Monocular Visual Odometry using Curriculum Learning
Assaf Lahiany, Oren Gal
Curriculum Learning (CL), drawing inspiration from natural learning patterns observed in humans and animals, employs a systematic approach of gradually introducing increasingly com…