Chengran YUAN
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  • Publications
    • PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
    • AGI-Elo: How Far Are We From Mastering A Task?
    • RMP-YOLO: A Robust Motion Predictor forPartially Observable Scenarios even if You Only Look Once
    • 3D Affordance Keypoint Detection for Robotic Manipulation
    • Drama: An efficient end-to-end motion planner for autonomous driving with mamba
    • ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties
    • ControlMTR: Control-guided motion transformer with scene-compliant intention points for feasible motion prediction
    • Drivescenegen: Generating diverse and realistic driving scenarios from scratch
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    • 💡 Tips on how to optimize token useage when using claude code
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