Research graph
References from BiSVNet: Bidirectional cross-gating and spatial vertical perception enhancement for multi-modal 3D object detection. Local targets link to admitted publications; unresolved targets remain external evidence.
Multi-view 3D object detection network for autonomous driving
2017 · External reference
Joint 3D proposal generation and object detection from view aggregation
2018 · External reference
BEVFusion: A simple and robust LiDAR-camera fusion framework
10.52202/068431-0757 · 2022 · External reference
AutoAlign: Pixel-instance feature aggregation for multi-modal 3D object detection
2022 · External reference
TransFusion: Robust LiDAR-camera fusion for 3D object detection with transformers
2022 · External reference
Cross modal transformer: Towards fast and robust 3D object detection
2023 · External reference
Frustum PointNets for 3D object detection from RGB-D data
2018 · External reference
PointRCNN: 3D object proposal generation and detection from point cloud
2019 · External reference
MS23D: A 3D object detection method using multi-scale semantic feature points to construct 3D feature layer
10.1016/j.neunet.2024.106623 · 2024 · External reference
Point-GNN: Graph neural network for 3D object detection in a point cloud
2020 · External reference
VoxelNet: End-to-end learning for point cloud based 3D object detection
2018 · External reference
SECOND: Sparsely embedded convolutional detection
10.3390/s18103337 · 2018 · External reference
From points to parts: 3D object detection from point cloud with part-aware and part-aggregation network
2021 · External reference
Center-based 3d object detection and tracking
2021 · External reference
PV-RCNN: Point-voxel feature set abstraction for 3D object detection
2020 · External reference
TANet: Robust 3D object detection from point clouds with triple attention
2020 · External reference
PointPillars: Fast encoders for object detection from point clouds
2019 · External reference
PC-RGNN: Point cloud completion and graph neural network for 3D object detection
2021 · External reference
KPTr: Key point transformer for LiDAR-based 3D object detection
10.1016/j.measurement.2024.115820 · 2025 · External reference
CenterNet: Keypoint triplets for object detection
2019 · External reference
FCOS3D: Fully convolutional one-stage monocular 3D object detection
2021 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2022 · External reference
Lift and splat shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3D
2020 · External reference
BEVDepth: Acquisition of reliable depth for multi-view 3D object detection
2023 · External reference
BEVFormer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
2022 · External reference
PolarFormer: Multi-camera 3D object detection with polar transformer
2023 · External reference
End-to-end object detection with transformers
2020 · External reference
DETR3D: 3D object detection from multi-view images via 3D-to-2D queries
2022 · External reference
PETR: Position embedding transformation for multi-view 3D object detection
2022 · External reference
Unresolved reference
2022 · External reference
Exploring object-centric temporal modeling for efficient multi-view 3D object detection
2023 · External reference
SparseBEV: High-performance sparse 3D object detection from multi-camera videos
2023 · External reference
3D-CVF: Generating joint camera and LiDAR features using cross-view spatial feature fusion for 3D object detection
2020 · External reference
Frustum ConvNet: Sliding frustums to aggregate local point-wise features for amodal 3D object detection
2019 · External reference
VirPNet: A multimodal virtual point generation network for 3D object detection
10.1109/tmm.2024.3410117 · 2024 · External reference
SparseFusion: Fusing multi-modal sparse representations for multi-sensor 3D object detection
2023 · External reference
Unresolved reference
2023 · External reference
AEPF: Attention-enabled point fusion for 3D object detection
10.3390/s24175841 · 2024 · External reference
C2L3-Fusion: An integrated 3D object detection method for autonomous vehicles
10.3390/s25092688 · 2025 · External reference
Point-level fusion and channel attention for 3D object detection in autonomous driving
10.3390/s25041097 · 2025 · External reference
Focal sparse convolutional networks for 3D object detection
2022 · External reference
Graph R-CNN: Towards accurate 3D object detection with semantic-decorated local graph
2022 · External reference
Transformation-equivariant 3D object detection for autonomous driving
2023 · External reference
Virtual sparse convolution for multimodal 3D object detection
2023 · External reference
Channelwise and spatially guided multimodal feature fusion network for 3-D object detection in autonomous vehicles
10.1109/tgrs.2024.3476072 · 2024 · External reference
TinyFusionDet: Hardware-efficient LiDAR-camera fusion framework for 3D object detection at edge
10.1109/tcsvt.2025.3556711 · 2025 · External reference
MMSDF: Multimodal sparse dense fusion for 3D object detection
10.1364/ao.565799 · 2025 · External reference
Equirectangular point reconstruction for domain adaptive multimodal 3D object detection in adverse weather conditions
2025 · External reference
KPTr: Key point transformer for LiDAR-based 3D object detection
10.1016/j.measurement.2024.115820 · ExternalCitation · doi-reference
MS23D: A 3D object detection method using multi-scale semantic feature points to construct 3D feature layer
10.1016/j.neunet.2024.106623 · ExternalCitation · doi-reference
TinyFusionDet: Hardware-efficient LiDAR-camera fusion framework for 3D object detection at edge
10.1109/tcsvt.2025.3556711 · ExternalCitation · doi-reference
Channelwise and spatially guided multimodal feature fusion network for 3-D object detection in autonomous vehicles
10.1109/tgrs.2024.3476072 · ExternalCitation · doi-reference
VirPNet: A multimodal virtual point generation network for 3D object detection
10.1109/tmm.2024.3410117 · ExternalCitation · doi-reference
MMSDF: Multimodal sparse dense fusion for 3D object detection
10.1364/ao.565799 · ExternalCitation · doi-reference
SECOND: Sparsely embedded convolutional detection
10.3390/s18103337 · ExternalCitation · doi-reference
AEPF: Attention-enabled point fusion for 3D object detection
10.3390/s24175841 · ExternalCitation · doi-reference
Point-level fusion and channel attention for 3D object detection in autonomous driving
10.3390/s25041097 · ExternalCitation · doi-reference
C2L3-Fusion: An integrated 3D object detection method for autonomous vehicles
10.3390/s25092688 · ExternalCitation · doi-reference
BEVFusion: A simple and robust LiDAR-camera fusion framework
10.52202/068431-0757 · ExternalCitation · doi-reference
