Xinshuo Weng

収録論文 23本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Cosmos 3: Omnimodal World Models for Physical AI
  2026/6/1
• Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
  2025/11/1
• Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
  2025/10/30
• Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning
  2024/10/1
• Promptable Closed-loop Traffic Simulation
  2024/9/1
• Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
  2024/7/1
• NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
  2024/6/1
• Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
  2023/5/1
• Tree-structured Policy Planning with Learned Behavior Models
  2023/1/1
• MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation
  2021/10/1
• Multi-Modality Task Cascade for 3D Object Detection
  2021/7/1
• AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
  2021/3/1
• AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking
  2020/12/1
• End-to-End 3D Multi-Object Tracking and Trajectory Forecasting
  2020/8/1
• AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
  2020/8/1
• Graph Neural Networks for 3D Multi-Object Tracking
  2020/8/1
• When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
  2020/6/1
• Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
  2020/6/1
• Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
  2020/3/1
• PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling
  2020/3/1
• 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
  2019/7/1
• Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges
  2019/3/1
• Deep Reinforcement Learning for Autonomous Driving
  2018/11/1