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9 Results were found on Technologies
Sub Category Name
Virtual Robot Facilitator for Small Group Discussions in an Online Environment
In the post-COVID era, many activities has transferred to a collaborative online environment. Both in the education system as well as the workplace, many classes and meetings are held in videoconferencing of small groups. These have been repeatedly shown to be the most effective mode of operation. The problem Online meetings of small groups tend […] Read More >
Image Processing – Non-Local Image Dehazing
Prof. Shai Avidan Tel Aviv University, School of Electrical Engineering Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of […] Read More >
Anomaly Detection in Video
We propose a new method for anomaly detection of human actions. Our method works directly on human pose graphs that can be computed from an input video sequence. This makes the analysis independent of nuisance parameters such as viewpoint or illumination. We map these graphs to a latent space and cluster them. Each action is […] Read More >
DYNAMIC MAPS FOR EXPLORING AND BROWSING OF IMAGES
Technology Our technology enables navigating over a collection of high dimensional entities (such as images, videos, text documents and more) in an interface similar to online map navigation interfaces. The map is ordered such that similar entities are put next to each other, so the browsing experience is continuous. It is dynamic in the sense […] Read More >
INFERRING THE PERIODICITY OF DISCRETE SIGNALS
A method for testing a signal comprises obtaining a signal, determining whether the signal has at least one period, measuring that period and providing the measurement as output. A power spectral density estimation can be used for signals having a single period, and an autocorrelation function with slicing can be used in an iterative procedure […] Read More >
Error Correction Code Transformer
Error correction code is a major part of the communication physical layer, ensuring the reliable transfer of data over noisy channels. Recently, neural decoders were shown to outperform classical decoding techniques. However, the existing neural approaches present strong overfitting due to the exponential training complexity, or a restrictive inductive bias due to reliance on Belief […] Read More >
Explainable AI (XAI)
One important challenge in machine learning is the “black box” problem, in which an artificial intelligence reaches a result without any humans being able to explain why. This problem is typically present in deep artificial neural networks, in which the hidden layers are impenetrable. To tackle this problem, our researchers have introduced the notion of […] Read More >
Dynamic Budget Allocation for Web Media Advertising Campaigns
Companies are required to define an advertising strategy determining how to allocate advertising funds over time, to maximize exposure to as many potential consumers as possible to the brand. Several models of advertising budget allocation have been developed over the years, however, these mjavascript:void(null);odels fall short in their capacity to inform budget allocation problems that […] Read More >
Automatic Music Transcription in The Wild using Unaligned Supervision
We have developed a novel system that enables automatic transcription of real musical performances. The system detects in unmatched high accuracy which notes were played, at what time, and by which instrument. In other words, the system can parse the musical content from a recording with high precision in timing and instrumentation. The prediction of […] Read More >
