5 papers · 1 filter
Unleashing the Power of Chain-of-Prediction for Monocular 3D Object Detection
Zhihao Zhang, Abhinav Kumar, Girish Chandar Ganesan +1
Monocular 3D detection (Mono3D) aims to infer 3D bounding boxes from a single RGB image. Without auxiliary sensors such as LiDAR, this task is inherently ill-posed since the 3D-to-…
Towards Intrinsic-Aware Monocular 3D Object Detection
Zhihao Zhang, Abhinav Kumar, Xiaoming Liu
Monocular 3D object detection (Mono3D) aims to infer object locations and dimensions in 3D space from a single RGB image. Despite recent progress, existing methods remain highly se…
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector
Abhinav Kumar, Yuliang Guo, Zhihao Zhang +3
Monocular 3D object detectors, while effective on data from one ego camera height, struggle with unseen or out-of-distribution camera heights. Existing methods often rely on Plucke…
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
Yunfei Long, Abhinav Kumar, Xiaoming Liu +1
Radar hits reflect from points on both the boundary and internal to object outlines. This results in a complex distribution of radar hits that depends on factors including object c…
RePLAy: Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry
Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar +1
3D sensing is a fundamental task for Autonomous Vehicles. Its deployment often relies on aligned RGB cameras and LiDAR. Despite meticulous synchronization and calibration, systemat…