45 citations · 47 across the 4 of their papers we have counts for
4 papers
SUIT: Learning Significance-guided Information for 3D Temporal Detection
Zheyuan Zhou, Jiachen Lu, Yihan Zeng +2
3D object detection from LiDAR point cloud is of critical importance for autonomous driving and robotics. While sequential point cloud has the potential to enhance 3D perception th…
A Self-Supervised Miniature One-Shot Texture Segmentation (MOSTS) Model for Real-Time Robot Navigation and Embedded Applications
Yu Chen, Chirag Rastogi, Zheyu Zhou +1
Determining the drivable area, or free space segmentation, is critical for mobile robots to navigate indoor environments safely. However, the lack of coherent markings and structur…
Learning Ego 3D Representation as Ray Tracing
Jiachen Lu, Zheyuan Zhou, Xiatian Zhu +2
A self-driving perception model aims to extract 3D semantic representations from multiple cameras collectively into the bird's-eye-view (BEV) coordinate frame of the ego car in ord…
SGM3D: Stereo Guided Monocular 3D Object Detection
Zheyuan Zhou, Liang Du, Xiaoqing Ye +5
Monocular 3D object detection aims to predict the object location, dimension and orientation in 3D space alongside the object category given only a monocular image. It poses a grea…