Search Results - "Bagon, Shai"

InGAN: Capturing and Retargeting the "DNA" of a Natural Image by Shocher, Assaf, Bagon, Shai, Isola, Phillip, Irani, Michal

“…Generative Adversarial Networks (GANs) typically learn a distribution of images in a large image dataset, and are then able to generate new images from this…”
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Splicing ViT Features for Semantic Appearance Transfer by Tumanyan, Narek, Bar-Tal, Omer, Bagon, Shai, Dekel, Tali

“…We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in…”
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CellSighter: a neural network to classify cells in highly multiplexed images by Amitay, Yael, Bussi, Yuval, Feinstein, Ben, Bagon, Shai, Milo, Idan, Keren, Leeat

“…Multiplexed imaging enables measurement of multiple proteins in situ, offering an unprecedented opportunity to chart various cell types and states in tissues…”
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Detecting and sketching the common by Shai Bagon, Brostovski, O, Galun, M, Irani, M

“…Given very few images containing a common object of interest under severe variations in appearance, we detect the common object and provide a compact visual…”
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Super-resolution from a single image by Glasner, Daniel, Bagon, Shai, Irani, Michal

“…Methods for super-resolution can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained…”
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Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation by Tumanyan, Narek, Geyer, Michal, Bagon, Shai, Dekel, Tali

“…Large-scale text-to-image generative models have been a revolutionary breakthrough in the evolution of generative AI, synthesizing diverse images with highly…”
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Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models by Granot, Niv, Feinstein, Ben, Shocher, Assaf, Bagon, Shai, Irani, Michal

“…Image manipulation dates back long before the deep learning era. The classical prevailing approaches were based on maximizing patch similarity between the…”
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Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19 by Frank, Oz, Schipper, Nir, Vaturi, Mordehay, Soldati, Gino, Smargiassi, Andrea, Inchingolo, Riccardo, Torri, Elena, Perrone, Tiziano, Mento, Federico, Demi, Libertario, Galun, Meirav, Eldar, Yonina C., Bagon, Shai

“…Lung ultrasound (LUS) is a cheap, safe and non-invasive imaging modality that can be performed at patient bed-side. However, to date LUS is not widely adopted…”
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Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning by Bagon, Shai, Galun, Meirav, Frank, Oz, Schipper, Nir, Vaturi, Mordehay, Zalcberg, Gad, Soldati, Gino, Smargiassi, Andrea, Inchingolo, Riccardo, Torri, Elena, Perrone, Tiziano, Mento, Federico, Demi, Libertario, Eldar, Yonina

“…When assessing severity of COVID19 from lung ultrasound (LUS) frames, both anatomical phenomena (e.g., the pleural line, presence of consolidations), as well…”
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Decision tree fields by Nowozin, S., Rother, C., Bagon, S., Sharp, T., Bangpeng Yao, Kohli, P.

“…This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and…”
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What's in the Image? A Deep-Dive into the Vision of Vision Language Models by Kaduri, Omri, Bagon, Shai, Dekel, Tali

“…Vision-Language Models (VLMs) have recently demonstrated remarkable capabilities in comprehending complex visual content. However, the mechanisms underlying…”
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Point of Care Image Analysis for COVID-19 by Yaron, Daniel, Keidar, Daphna, Goldstein, Elisha, Shachar, Yair, Blass, Ayelet, Frank, Oz, Schipper, Nir, Shabshin, Nogah, Grubstein, Ahuva, Suhami, Dror, Bogot, Naama R., Weiss, Chedva S., Sela, Eyal, Dror, Amiel A., Vaturi, Mordehay, Mento, Federico, Torri, Elena, Inchingolo, Riccardo, Smargiassi, Andrea, Soldati, Gino, Perrone, Tiziano, Demi, Libertario, Galun, Meirav, Bagon, Shai, Elyada, Yishai M., Eldar, Yonina C.

“…Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an…”
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DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering by Aflalo, Amit, Bagon, Shai, Kashti, Tamar, Eldar, Yonina

“…Image segmentation is a fundamental task in computer vision. Data annotation for training supervised methods can be labor-intensive, motivating unsupervised…”
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DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video by Tumanyan, Narek, Singer, Assaf, Bagon, Shai, Dekel, Tali

“…We present DINO-Tracker -- a new framework for long-term dense tracking in video. The pillar of our approach is combining test-time training on a single video,…”
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Discrete Energy Minimization, beyond Submodularity: Applications and Approximations by Bagon, Shai

“…In this thesis I explore challenging discrete energy minimization problems that arise mainly in the context of computer vision tasks. This work motivates the…”
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TokenFlow: Consistent Diffusion Features for Consistent Video Editing by Geyer, Michal, Bar-Tal, Omer, Bagon, Shai, Dekel, Tali

“…The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-the-art video models are still lagging behind image models in…”
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DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering by Aflalo, Amit, Bagon, Shai, Kashti, Tamar, Eldar, Yonina

“…Image segmentation is a fundamental task in computer vision. Data annotation for training supervised methods can be labor-intensive, motivating unsupervised…”
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Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation by Tumanyan, Narek, Geyer, Michal, Bagon, Shai, Dekel, Tali

“…Large-scale text-to-image generative models have been a revolutionary breakthrough in the evolution of generative AI, allowing us to synthesize diverse images…”
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Combining Internal and External Constraints for Unrolling Shutter in Videos by Naor, Eyal, Antebi, Itai, Bagon, Shai, Irani, Michal

“…Videos obtained by rolling-shutter (RS) cameras result in spatially-distorted frames. These distortions become significant under fast camera/scene motions…”
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Disentangling Structure and Appearance in ViT Feature Space by Tumanyan, Narek, Bar-Tal, Omer, Amir, Shir, Bagon, Shai, Dekel, Tali

“…We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in…”
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