6 papers · 1 filter
MINER: Modeling Inter- and Intra-Person Variance for Reidentification
Oron Nir, Eliyahu Strugo, Ariel Shamir
Clothes-Changing Person Re-Identification (CC-ReID) remains challenging due to drastic appearance shifts across outfits. Most prior works devise biometric signal-extraction heurist…
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…
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…