Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...

Scene graph generation, the task of identifying objects in an image and their relationships, has numerous applications in computer vision, including image captioning and object detection. While deep ...

Recently, neural network models of visual object recognition ... We computed the ROC graphs for humans and the HMAX model for each of the 12 classes and used the EER for the comparison. ...

Automated object recognition -- and more generally scene analysis -- from photographs and videos is the grand challenge of computer vision. This course presents the image, object, and scene models, as ...

The talk will cover visual recognition from the early 90’s, including handwritten digit and face detection, to the current state-of-the-art in deep learning applied to object categorization.

While traditional approaches in pattern recognition and computer vision have continued to evolve, along with the advances of artificial intelligence (AI), this unique compendium presents recent ...