Overview: Emphasis on practical problem-solving: debugging workflows, handling re-renders, and optimizing performance instead of memorizing definitionsDeep unde ...

Typically, any object that has been around longer than we have can give us a feeling of warmth. For example, scuffed-up wooden chairs, ceramics that have a small crack, and black-and-white photos ...

We introduce the new task of 3D object localization in RGB-D scans using natural language descriptions. As input, we assume a point cloud of a scanned 3D scene along with a free-form description of a ...

Abstract: Detecting objects remains one of computer vision and image understanding applications’ most fundamental and challenging aspects. Significant advances in object detection have been achieved ...

Abstract: Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received long-standing attention. In recent years, deep learning ...