Co-occurring keywords · papers mentioning both
Papers
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
CoRL 2020
Robust Adversarial Objects against Deep Learning Models
AAAI 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
CVPR 2020
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
CVPR 2020
Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction
CVPR 2020
Structure Aware Single-Stage 3D Object Detection From Point Cloud
CVPR 2020
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
AAAI 2020
Task-Aware Monocular Depth Estimation for 3D Object Detection
AAAI 2020
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize
CVPR 2020
Wasserstein Distances for Stereo Disparity Estimation
NeurIPS 2020
What You See is What You Get: Exploiting Visibility for 3D Object Detection
CVPR 2020
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
AAAI 2020
3D Object Detection Using Scale Invariant and Feature Reweighting Networks
AAAI 2019
3D-RelNet: Joint Object and Relational Network for 3D Prediction
ICCV 2019
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
CVPR 2019
Deep Hough Voting for 3D Object Detection in Point Clouds
ICCV 2019
Deep Optics for Monocular Depth Estimation and 3D Object Detection
ICCV 2019
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
CoRL 2019
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data
ICCV 2019
Fast Point R-CNN
ICCV 2019
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
CVPR 2019
Joint Monocular 3D Vehicle Detection and Tracking
ICCV 2019
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
CVPR 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
NeurIPS 2019
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
ICCV 2019