| GraVoS: Voxel Selection for 3D Point-Cloud Detection |
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| BEV@DC: Bird's-Eye View Assisted Training for Depth Completion |
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| Are we Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark |
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| PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer |
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| End-to-End Vectorized HD-Map Construction with Piecewise Bezier Curve |
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| MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences |
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LaserMix for Semi-Supervised LiDAR Semantic Segmentation
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| MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection |
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| LiDAR2Map: In Defense of LiDAR-based Semantic Map Construction using Online Camera Distillation |
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| Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving |
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Planning-Oriented Autonomous Driving
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| Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection |
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| Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection |
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| SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation |
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| Azimuth Super-Resolution for FMCW Radar in Autonomous Driving |
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| V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception |
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Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
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Coaching a Teachable Student
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| BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks |
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| Center Focusing Network for Real-Time LiDAR Panoptic Segmentation |
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| IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction |
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| Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency |
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| CXTrack: Improving 3D Point Cloud Tracking with Contextual Information |
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| ReasonNet: End-to-End Driving with Temporal and Global Reasoning |
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| Seeing with Sound: Long-Range Acoustic Beamforming for Multimodal Scene Understanding |
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| LinK: Linear Kernel for LiDAR-based 3D Perception |
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| Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving |
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| Tri-Perspective View for Vision-based 3D Semantic Occupancy Prediction |
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| SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping using Monocular Frontal View Images |
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| BEV-LaneDet: An Efficient 3D Lane Detection based on Virtual Camera via Key-Points |
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| OcTr: Octree-based Transformer for 3D Object Detection |
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| Instant Domain Augmentation for LiDAR Semantic Segmentation |
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| ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries |
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UniSim: A Neural Closed-Loop Sensor Simulator
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| Learning Compact Representations for LiDAR Completion and Generation |
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| Towards Unsupervised Object Detection from LiDAR Point Clouds |
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| Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking |
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| Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving |
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| X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection |
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| PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation |
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| GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds |
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| Neural Map Prior for Autonomous Driving |
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| Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field |
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| Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations |
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| Single Domain Generalization for LiDAR Semantic Segmentation |
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| Uncertainty-Aware Vision-based Metric Cross-View Geolocalization |
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| MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation |
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| PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds |
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| Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection |
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| CAPE: Camera View Position Embedding for Multi-View 3D Object Detection |
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| LiDAR-in-the-Loop Hyperparameter Optimization |
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| Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection |
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| FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction |
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| Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving |
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| Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection |
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| SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization |
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| TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving |
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| Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving |
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| Deep Dive Into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision |
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ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals
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| BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection |
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VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
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Hidden Gems: 4D Radar Scene Flow Learning using Cross-Modal Supervision
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| Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss |
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| Query-Centric Trajectory Prediction |
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| Efficient Hierarchical Entropy Model for Learned Point Cloud Compression |
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| Novel Class Discovery for 3D Point Cloud Semantic Segmentation |
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MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion
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| FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs |
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