ETH Zurich

In the evolving landscape of psycholinguistics, language models (LMs) have carved out a pivotal role, serving as both the subject and tool of study. These models, leveraging vast datasets, attempt to mimic human language processing capabilities,...
The surge of advertisements across online platforms presents a formidable challenge in maintaining content integrity and adherence to advertising policies. While foundational, traditional mechanisms of content moderation grapple with the dual challenges of scale and efficiency,...

This Artificial Intelligence (AI) Paper Presents a New Metric TETA and a New Model TETer for Tracking Every Thing in the Wild

Estimating the trajectory of items in a video clip is the goal of multiple object tracking (MOT). While specific MOT standards only consider tracking...

Researchers from ETH Zurich and Microsoft Propose ‘LaMAR,’ a New Benchmark for Localization and Mapping for Augmented Reality

Augmented reality (AR) is on its way to becoming a part of our daily lives. We can define it as placing a virtual object...

Latest Natural Language Generation Research Introduces ‘Typical Sampling,’ A New Decoding Method that is Principled, Effective, and can be Implemented Efficiently

Natural language models can model a text corpus C by learning the probability distribution p over all natural language strings Y∈C, with Y={y_1,y_2,y_3...,y_t}. For...

ETH Zurich AI Researchers Introduce ‘tntorch’: a PyTorch-Powered Tensor Learning Python Library That Supports Multiple Decompositions Under a Unified Interface

Tensors are an effective method for handling and representing multidimensional data arrays. However, they have a limitation in terms of storage and computation. Tensor...

ETH Zürich Team Introduces A Novel Method To Decode Text From Accelerometer Signals Sensed At The User’s Wrist Using A Wearable Device

This Article Is Based On The Research 'TapType: Ten-finger text entry on everyday surfaces via Bayesian inference'. All Credit For This Research Goes To...

Researchers Introduce gDNA: a Novel AI Method that Learns to Generate Detailed 3D Shapes of People in a Variety of Garments with Corresponding Skinning...

This article summary is based on the research paper: 'gDNA: Towards Generative Detailed Neural Avatars' All credits for this research goes to the authors of...

ETH Zurich Team Introduce Exemplar Transformers: A New Efficient Transformer Layer For Real-Time Visual Object Tracking

Visual tracking involves estimating the trajectory of an object in a video series, which is one of the fundamental challenges in computer vision. With...

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