6 citations · 8 across the 3 of their papers we have counts for
5 papers
Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision
Congliang Li, Shijie Sun, Xiangyu Song +3
Multiple object detection and pose estimation are vital computer vision tasks. The latter relates to the former as a downstream problem in applications such as robotics and autonom…
CenterLoc3D: Monocular 3D Vehicle Localization Network for Roadside Surveillance Cameras
Tang Xinyao, Wang Wei, Song Huansheng +1
Monocular 3D vehicle localization is an important task in Intelligent Transportation System (ITS) and Cooperative Vehicle Infrastructure System (CVIS), which is usually achieved by…
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking
ShiJie Sun, Naveed Akhtar, XiangYu Song +3
Deep learning-based Multiple Object Tracking (MOT) currently relies on off-the-shelf detectors for tracking-by-detection.This results in deep models that are detector biased and ev…
Deep Affinity Network for Multiple Object Tracking
ShiJie Sun, Naveed Akhtar, HuanSheng Song +2
Multiple Object Tracking (MOT) plays an important role in solving many fundamental problems in video analysis in computer vision. Most MOT methods employ two steps: Object Detectio…
Benchmark data and method for real-time people counting in cluttered scenes using depth sensors
ShiJie Sun, Naveed Akhtar, HuanSheng Song +3
Vision-based automatic counting of people has widespread applications in intelligent transportation systems, security, and logistics. However, there is currently no large-scale pub…