lidar point cloud

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection ICCV 2023 PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds CVPR 2023 RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving CVPR 2023 Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery NeurIPS 2023 SEFormer: Structure Embedding Transformer for 3D Object Detection AAAI 2023 SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments CVPR 2023 Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking ICCV 2023 Towards Unsupervised Object Detection From LiDAR Point Clouds CVPR 2023 Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings With Multivariate Occupancy Time Series WACV 2023 Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving CVPR 2023 AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection IJCAI 2022 Behind the Curtain: Learning Occluded Shapes for 3D Object Detection AAAI 2022 BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement CVPR 2022 Coopernaut: End-to-End Driving With Cooperative Perception for Networked Vehicles CVPR 2022 Embracing Single Stride 3D Object Detector With Sparse Transformer CVPR 2022 Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation CVPR 2022 Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images NeurIPS 2022 Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception ICLR 2022 JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection AAAI 2022 LiDARCap: Long-Range Marker-Less 3D Human Motion Capture With LiDAR Point Clouds CVPR 2022 Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds CVPR 2022 OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data CVPR 2022 Self-Supervised Pretraining for Large-Scale Point Clouds NeurIPS 2022 Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation AAAI 2022 Unsupervised Adaptation from Repeated Traversals for Autonomous Driving NeurIPS 2022