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New Trends

  • Label Efficient
    • Unsupervised / Self-supervised learning: CO3 [1] , DOtA [14]
    • Weakly / Sparsely supervised learning: SSC3OD [2], CoDTS [11]
    • Domain adaption: S2R-ViT [3], DUSA [4]
    • Based Others’ Predictions: R&B-POP [17]
  • Model Adaptation
    • MACP [5]
    • CoPEFT [13]
  • Open Heterogeneous Collaborative Perception
    • HEAL [6]
  • New Perception Tasks
    • Multi-Object Cooperative Tracking: DMSTrack [7], MOT-CUP [8]
    • Collaborative Semantic Occupancy Prediction: CoHFF [9]
    • Cooperative Trajectory: V2X-Graph [10]
  • Extreme Environments
    • DSRC [12], MDD [15]
  • End-to-End Autonomous Driving
    • UniV2X [16]

References

  1. CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving (ICLR'23) [pdf] [code]
  2. SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds (SMC'23) [pdf]
  3. S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality (arXiv'23) [pdf]
  4. DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception (MM'23) [pdf] [code]
  5. MACP: Efficient Model Adaptation for Cooperative Perception (WACV'24) [pdf] [code]
  6. HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception (ICLR'24) [pdf] [code]
  7. Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter (ICRA'24) [pdf] [code]
  8. Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation (RAL'24) [pdf] [code]
  9. Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles (CVPR'24) [pdf] [code]
  10. Learning Cooperative Trajectory Representations for Motion Forecasting (NeurIPS'24) [pdf] [code]
  11. CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework (AAAI'25) [pdf] [code]
  12. DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions (AAAI'25) [pdf] [code]
  13. CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning (AAAI'25) [pdf] [code]
  14. Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels (CVPR'25) [pdf] [code]
  15. V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection (CVPR'25) [pdf] [code]
  16. End-to-End Autonomous Driving through V2X Cooperation (AAAI'25) [pdf] [code]
  17. Learning 3D Perception from Others' Predictions (ICLR'25) [pdf] [code]