activity
20192023
most citedWeakly and Semi Supervised Detection in Medical Imaging via Deep Dual Branch Net

22 citations · 50 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation

Gavriel Habib, Noa Barzilay, Or Shimshi +2

Gait Recognition is a computer vision task aiming to identify people by their walking patterns. Although existing methods often show high performance on specific datasets, they lac…

cs.CV2023★ 2 cited

Norm-guided latent space exploration for text-to-image generation

Dvir Samuel, Rami Ben-Ari, Nir Darshan +2

Text-to-image diffusion models show great potential in synthesizing a large variety of concepts in new compositions and scenarios. However, the latent space of initial seeds is sti…

cs.CV2023★ 6 cited

Chatting Makes Perfect: Chat-based Image Retrieval

Matan Levy, Rami Ben-Ari, Nir Darshan +1

Chats emerge as an effective user-friendly approach for information retrieval, and are successfully employed in many domains, such as customer service, healthcare, and finance. How…

cs.CV2023★ 2 cited

Generating images of rare concepts using pre-trained diffusion models

Dvir Samuel, Rami Ben-Ari, Simon Raviv +2

Text-to-image diffusion models can synthesize high-quality images, but they have various limitations. Here we highlight a common failure mode of these models, namely, generating un…

cs.CV2023★ 3 cited

Data Roaming and Quality Assessment for Composed Image Retrieval

Matan Levy, Rami Ben-Ari, Nir Darshan +1

The task of Composed Image Retrieval (CoIR) involves queries that combine image and text modalities, allowing users to express their intent more effectively. However, current CoIR…