90 citations · 247 across the 24 of their papers we have counts for
17 papers · 1 filter
Describing Sets of Images with Textual-PCA
Oded Hupert, Idan Schwartz, Lior Wolf
We seek to semantically describe a set of images, capturing both the attributes of single images and the variations within the set. Our procedure is analogous to Principle Componen…
Video and Text Matching with Conditioned Embeddings
Ameen Ali, Idan Schwartz, Tamir Hazan +1
We present a method for matching a text sentence from a given corpus to a given video clip and vice versa. Traditionally video and text matching is done by learning a shared embedd…
Meta Internal Learning
Raphael Bensadoun, Shir Gur, Tomer Galanti +1
Internal learning for single-image generation is a framework, where a generator is trained to produce novel images based on a single image. Since these models are trained on a sing…
Caption Enriched Samples for Improving Hateful Memes Detection
Efrat Blaier, Itzik Malkiel, Lior Wolf
The recently introduced hateful meme challenge demonstrates the difficulty of determining whether a meme is hateful or not. Specifically, both unimodal language models and multimod…
Natural Statistics of Network Activations and Implications for Knowledge Distillation
Michael Rotman, Lior Wolf
In a matter that is analog to the study of natural image statistics, we study the natural statistics of the deep neural network activations at various layers. As we show, these sta…
Identity and Attribute Preserving Thumbnail Upscaling
Noam Gat, Sagie Benaim, Lior Wolf
We consider the task of upscaling a low resolution thumbnail image of a person, to a higher resolution image, which preserves the person's identity and other attributes. Since the…