Real-time multi-person pose estimation presents significant challenges in balancing speed
and precision. While two-stage top-down methods slow down as the number of people in the …

Autonomous robotic systems operating in human environments must understand their
surroundings to make accurate and safe decisions. In crowded human scenes with close-up …

Over the past few years, extensive research has been devoted to enhancing YOLO object
detectors. Since its introduction, eight major versions of YOLO have been introduced with …

This is a comprehensive review of the YOLO series of systems. Different from previous
literature surveys, this review article re-examines the characteristics of the YOLO series from …

Visual tasks vary a lot in their output formats and concerned contents, therefore it is hard to
process them with an identical structure. One main obstacle lies in the high-dimensional …

Gait analysis is an essential tool for detecting biomechanical irregularities, designing
personalized rehabilitation plans, and enhancing athletic performance. Currently, gait …

Anticipating the motion of all humans in dynamic environments such as homes and offices is
critical to enable safe and effective robot navigation. Such spaces remain challenging as …

Recognizing human actions is crucial for an effective and safe collaboration between
humans and robots. For example, in a collaborative assembly task, human workers can use …

Three-dimensional human pose estimation is widely applied in sports, robotics, and
healthcare. In the past five years, the number of CNN-based studies for 3D human pose …

The objective of human pose estimation (HPE) derived from deep learning aims to
accurately estimate and predict the human body posture in images or videos via the …