6 papers
Discrepancy Minimization Improves Cross-Hospital Robustness in Digital Pathology
Ben Vardi, Dana Schonberger, Yuval Friedmann +4
Pathology foundation models (PFMs) have advanced rapidly in recent years and support training classifiers for a range of histopathology tasks. However, their robustness across hosp…
Φ-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation
Ofir Abramovich, Nadav Z. Cohen, Adi Rosenthal +1
Latent video diffusion models generate videos by progressively transforming Gaussian noise into realistic samples conditioned on text or visual inputs. However, existing conditioni…
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering
Ben Vardi, Oron Nir, Ariel Shamir
Vision-Language Models (VLMs) demonstrate remarkable capabilities in visual understanding and reasoning, such as in Visual Question Answering (VQA), where the model is asked a ques…
Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation
Nadav Z. Cohen, Oron Nir, Ariel Shamir
Balancing content fidelity and artistic style is a pivotal challenge in image generation. While traditional style transfer methods and modern Denoising Diffusion Probabilistic Mode…
Unimodal Strategies in Density-Based Clustering
Oron Nir, Jay Tenenbaum, Ariel Shamir
Density-based clustering methods often surpass centroid-based counterparts, when addressing data with noise or arbitrary data distributions common in real-world problems. In this s…
Generative Photomontage
Sean J. Liu, Nupur Kumari, Ariel Shamir +1
Text-to-image models are powerful tools for image creation. However, the generation process is akin to a dice roll and makes it difficult to achieve a single image that captures ev…