Category Computer Science
In recent years, there have been significant advances in using deep learning techniques to automatically describe image contents. However, most of these applications have been limited to datasets containing natural images like those found on platforms such as Flickr and… Continue Reading →
Can machines ask engaging and natural questions about an image? This research article titled “Generating Natural Questions About an Image” dives into the fascinating world of Visual Question Generation (VQG). Authored by Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell,… Continue Reading →
In today’s data-driven world, the increase in data volumes has posed significant challenges for manual inspection and analysis. As the amount of data continues to rise exponentially, it becomes increasingly difficult for humans to sift through and prioritize attention to… Continue Reading →
Codes with unequal locality, commonly referred to as locally repairable codes (LRCs), are an exciting development in the field of error correction codes. In this article, we will explore the fascinating research conducted by Swanand Kadhe and Alex Sprintson, as… Continue Reading →
In the world of robotics, the ability to generate motion plans that can adapt to an uncertain environment, parametric model uncertainty, and disturbances is of paramount importance. Moreover, these plans often need to be generated in real-time, as obstacles may… Continue Reading →
Deep neural networks have revolutionized the field of image recognition, enabling machines to surpass human-level performance in tasks such as object detection and localization. However, as network depth increases, training becomes more challenging. In a groundbreaking research article titled “Deep… Continue Reading →
Object detection, a crucial computer vision problem, involves locating and classifying objects within an image or video. Over the years, researchers have developed various methods to tackle this challenge. One ground-breaking approach is the Single Shot MultiBox Detector (SSD), an… Continue Reading →
Deep learning has become an integral part of state-of-the-art computer vision systems, allowing machines to understand and interpret visual information. Convolutional neural networks (CNNs) with alternating layers of convolution, max-pooling, and decimation have been widely adopted in computer vision architectures…. Continue Reading →
Understanding the computational complexity of a problem lies at the heart of solving it efficiently. In a recent research article titled “Membership in Moment Polytopes is in NP and coNP”, Peter Bürgisser, Matthias Christandl, Ketan D. Mulmuley, and Michael Walter… Continue Reading →
What is ALOJA project? The ALOJA project is a collaborative effort between the Barcelona Supercomputing Center (BSC) and Microsoft with the aim of automating the characterization of cost-effectiveness in Big Data deployments, with a specific focus on the Hadoop platform…. Continue Reading →