Hongzi Zhu

1. Embodied Understanding of Driving Scenarios
   2024/03/07 by Linyan Huang, Zhou, Yunsong, Qingwen Bu +16 · 18 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Data Visualization and Analytics #FOS: Computer and information sciences
2. Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
   2021/06/30 by Yunsong Zhou, Zhou, Yunsong, Yuan He +9 · 5 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization #Video Surveillance and Tracking Methods
3. SimGen: Simulator-conditioned Driving Scene Generation
   2024/06/13 by Yunsong Zhou, Michael Simon, Zhou, Yunsong +11 · 8 citations
   Computer Science · Engineering · #Autonomous Vehicle Technology and Safety #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Motion and Animation
4. Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning
   2017/12/19 by Liang Xiao, Xiao, Liang, Guoan Han +9 · 2 citations
   Computer Science · Engineering · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Security in Wireless Sensor Networks #Wireless Communication Security Techniques #cs.CR #cs.LG
5. Detect Anything 3D in the Wild
   2025/04/10 by Hanxue Zhang, Zhang, Hanxue, Haoran Jiang +15 · 1 voice · 10 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
6. MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer
   2023/03/23 by Yunsong Zhou, Hongzi Zhu, Zhou, Yunsong +7 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods #Visual Attention and Saliency Detection