31 citations · 96 across the 31 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023★ 1 cited
Increasing Textual Context Size Boosts Medical Image-Text Matching
Idan Glassberg, Tom Hope
This short technical report demonstrates a simple technique that yields state of the art results in medical image-text matching tasks. We analyze the use of OpenAI's CLIP, a genera…
cs.LG2019
A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units
Adi Szeskin, Lev Faivishevsky, Ashwin K Muppalla +2
We present a deep learning system for testing graphics units by detecting novel visual corruptions in videos. Unlike previous work in which manual tagging was required to collect l…
cs.LG2015★ 3 cited
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation
Tom Hope, Avishai Wagner, Or Zuk
We propose a simple and efficient time-series clustering framework particularly suited for low Signal-to-Noise Ratio (SNR), by simultaneous smoothing and dimensionality reduction a…