The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

Abstract: Object Recognition and Document Skew Estimation have come a long way in terms of performance and efficiency. New models follow one of two directions: improving performance using larger ...

InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.

We introduce a novel open-set benchmark for remote sensing, accompanied by a self-built Vision Question Answering (VQA) remote sensing dataset, TerraVQA, providing a platform for researchers to ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Princeton alumni Max Gotts, Class of 2024, and Dora Zhao, Class of 2021, were awarded the Paul and Daisy Soros Fellowships for New Americans, a merit-based graduate school program for immigrants and ...

Prosthetic vision systems aim to restore functional sight for visually impaired individuals by replicating visual perception by inducing phosphenes through electrical stimulation in the visual cortex, ...