In the United States in 2023, there were 658 mass shootings, and 42,996 people lost their lives to gun violence. Detecting and rapidly responding to potential and actual shootings in an automated fashion is critical to reducing these tragic figures. […]
In this talk, we present recent work on AI Guide Dog, a groundbreaking research project aimed at providing navigation assistance for the blind community. This multiyear project at Carnegie Mellon University leverages AI to predict sighted human reactions in real […]
For classification problems in which we have equal numbers of samples in each class, we propose and present a novel mini-batch sampling approach to train neural networks using gradient descent. Our proposed approach ensures a uniform distribution of samples from […]
Large language models (LLMs) are revolutionizing the way we interact with computers and the world around us. However, in order to truly understand the world, LLM-powered agents need to be able to see. Will models in production be multimodal, or […]
Vision applications often rely on object detectors, which determine the nature and location of objects in a scene. But many vision applications require a different type of visual understanding: semantic segmentation. Semantic segmentation classifies each pixel of an image, associating […]
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