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Vehicle Pose Estimation

Papers

Showing 125 of 37 papers

TitleStatusHype
A Graph-Based Approach for Category-Agnostic Pose EstimationCode2
3D Bounding Box Estimation Using Deep Learning and GeometryCode1
An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDARCode1
CapeX: Category-Agnostic Pose Estimation from Textual Point ExplanationCode1
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity EstimationCode1
DSGN: Deep Stereo Geometry Network for 3D Object DetectionCode1
Exploring intermediate representation for monocular vehicle pose estimationCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Kinematic 3D Object Detection in Monocular VideoCode1
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous DrivingCode1
Optimal Pose and Shape Estimation for Category-level 3D Object PerceptionCode0
Learning Depth-Guided Convolutions for Monocular 3D Object DetectionCode0
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionCode0
Subcategory-aware Convolutional Neural Networks for Object Proposals and DetectionCode0
6D-VNet: End-to-end 6DoF Vehicle Pose Estimation from Monocular RGB ImagesCode0
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph NetworksCode0
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic SurveillanceCode0
Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic KeypointsCode0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing0
Low-cost LIDAR based Vehicle Pose Estimation and Tracking0
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras0
Monocular 3D Object Detection for Autonomous Driving0
Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image0
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