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Southeast University
- Nanjing
- https://www.seu.edu.cn/
Highlights
- Pro
Lists (3)
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Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving"
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert
FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving
[CVPR 2025 Highlight] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving
(ICCV2025) End-to-End Driving with Online Trajectory Evaluation via BEV World Model
A bash script wrapped with Swift to send pids to efficiency core
A novel neural network architecture that can concurrently achieve real-time performance, competitive accuracy, and strong generalization ability.
[TPAMI 2025 & CVPR 2023] IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
[ECCV2024] This is the official implementation of GraphBEV, a BEV multi-modal framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)
[TCSVT] DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction
A list of resouces for multispectral pedestrian detection,including the datasets, methods, annotations and tools.
[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
[ECCV 2024] Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric
[NeurIPS 2024] OPUS: Occupancy Prediction Using a Sparse Set
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection, ICCV, 2019