Notice of Violation of IEEE Publication Principles" Recent Advances in 3D Object Detection
in the Era of Deep Neural Networks: A Survey," by MM Rahman, Y. Tan, J. Xue and K. Lu, in …

In recent years, electric vehicles have achieved rapid development. Intelligence is one of the
important trends to promote the development of electric vehicles. As a result, autonomous …

Abstract 3D target detection is a research hotspot in recent years. In the field of autonomous
driving, 3D target detection is mainly targeted at outdoor scenes that the camera height is …

Permeability prediction of porous media from numerical approaches is an important
supplement for experimental measurements with the benefits of being more economical and …

To achieve accurate and robust object detection in the real-world scenario, various forms of
images are incorporated, such as color, thermal, and depth. However, multimodal data often …

Inpainting is a technique that can be employed to tamper with the content of images. In this
paper, we propose a novel forensics analysis method for diffusion-based image inpainting …

Effective 3D shape retrieval and recognition are challenging but important tasks in computer
vision research field, which have attracted much attention in recent decades. Although …

Diabetic foot ulcers (DFUs) are considered the most challenging forms of chronic ulcerations
to handle their multifactorial nature. It is necessary to establish a comprehensive treatment …

Abstract Human-Robot Interaction (HRI) provides assisted services in different real-time
applications. The robotic systems identify objects through digital visualization wherein a …

Facial expressions have been proven to be the most effective way for the brain to recognize
human emotions in a variety of contexts. With the exponentially increasing research for …