45 citations · 46 across the 3 of their papers we have counts for
8 papers
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…
Perceptual Score: What Data Modalities Does Your Model Perceive?
Itai Gat, Idan Schwartz, Alexander Schwing
Machine learning advances in the last decade have relied significantly on large-scale datasets that continue to grow in size. Increasingly, those datasets also contain different da…
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…
Ensemble of MRR and NDCG models for Visual Dialog
Idan Schwartz
Assessing an AI agent that can converse in human language and understand visual content is challenging. Generation metrics, such as BLEU scores favor correct syntax over semantics.…
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat, Idan Schwartz, Alexander Schwing +1
Many recent datasets contain a variety of different data modalities, for instance, image, question, and answer data in visual question answering (VQA). When training deep net class…
A Simple Baseline for Audio-Visual Scene-Aware Dialog
Idan Schwartz, Alexander Schwing, Tamir Hazan
The recently proposed audio-visual scene-aware dialog task paves the way to a more data-driven way of learning virtual assistants, smart speakers and car navigation systems. Howeve…