This paper presents a unified framework for object detection, segmentation, and
classification using regions. Region features are appealing in this context because:(1) they …

Construction workers are at high risk of work-related musculoskeletal disorders (WMSDs)
due to physically demanding manual-handling tasks in awkward postures. Although existing …

Object viewpoint classification aims at predicting an approximate 3D pose of objects in a
scene and is receiving increasing attention. State-of-the-art approaches to viewpoint …

Recognizing object classes and their 3D viewpoints is an important problem in computer
vision. Based on a part-based probabilistic representation [31], we propose a new 3D object …

Despite the remarkable progress of Fine-grained visual classification (FGVC) with years of
history, it is still limited to recognizing 2 images. Recognizing objects in the physical world …

In this work we seek to move away from the traditional paradigm for 2D object recognition
whereby objects are identified in the image as 2D bounding boxes. We focus instead on: i) …

We propose a novel probabilistic framework for learning visual models of 3D object
categories by combining appearance information and geometric constraints. Objects are …

One of the grand challenges of artificial intelligence is to enable computers to interpret 3D
scenes and objects from imagery. This book organizes and introduces major concepts in 3D …

This paper presents a novel approach to pedestrian classification which involves utilizing
the synthesized virtual samples of a learned generative model to enhance the classification …

5G technology use cases depicts the prospects of 5G network model to revolutionize
Industry and Education is not an exception. The 5G model in general is made up of three …