25 citations · 44 across the 6 of their papers we have counts for
6 papers
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning
Gabi Shalev, Gal-Lev Shalev, Joseph Keshet
Image captioning research achieved breakthroughs in recent years by developing neural models that can generate diverse and high-quality descriptions for images drawn from the same…
Redesigning the classification layer by randomizing the class representation vectors
Gabi Shalev, Gal-Lev Shalev, Joseph Keshet
Neural image classification models typically consist of two components. The first is an image encoder, which is responsible for encoding a given raw image into a representative vec…
Joint Visual-Textual Embedding for Multimodal Style Search
Gil Sadeh, Lior Fritz, Gabi Shalev +1
We introduce a multimodal visual-textual search refinement method for fashion garments. Existing search engines do not enable intuitive, interactive, refinement of retrieved result…
Generating Diverse and Informative Natural Language Fashion Feedback
Gil Sadeh, Lior Fritz, Gabi Shalev +1
Recent advances in multi-modal vision and language tasks enable a new set of applications. In this paper, we consider the task of generating natural language fashion feedback on ou…
Out-of-Distribution Detection using Multiple Semantic Label Representations
Gabi Shalev, Yossi Adi, Joseph Keshet
Deep Neural Networks are powerful models that attained remarkable results on a variety of tasks. These models are shown to be extremely efficient when training and test data are dr…
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks
Lena Granovsky, Gabi Shalev, Nancy Yacovzada +2
Common medical conditions are often associated with sleep abnormalities. Patients with medical disorders often suffer from poor sleep quality compared to healthy individuals, which…