ICLR23 SR4AD-07 Learning a Globally Scalable Driving Intelligence(Jamie Shotton)
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ICLR23 SR4AD-05 Robust Visual Perception for All Domains(Dengxin Dai)
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ICLR23 SR4AD-08 Contributions
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ICLR23 SR4AD-04 Contributions
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ICLR23 SR4AD-11 Panel Discussion
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ICLR23 SR4AD-03 Vision-Centric Autonomous Driving(Hang Zhao)
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ICLR23 SR4AD-10 Secure and Safe Autonomous Driving (Bo Li)
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ICLR23 SR4AD-02 Scene Understanding beyond the Visible(Hang Qiu)
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ICLR23 SR4AD-06 Towards Generative Photorealistic Simulation( Yiyi Liao)
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ICLR23 SR4AD-09 Optimizing Internal Network Representations(Christos Sakaridis)
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CVPR24 FM4AS | Alex Kendall: Building Embodied AI to be Safe and Scalable
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陈立 端到端自动驾驶
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ICLR23 SR4AD-01 Introduction and opening remarks(Li Chen)
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杨泽同 生成式世界模型概述
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CVPR24 Tutorial | Deva Ramanan: Learning to Plan in A Reactive World
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李天羽 自动驾驶场景的三维重建
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北京2023 自动驾驶论坛｜Keynote 5: Object-Centric Perception for Autonomous Driving
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王文海 InternVL1.5
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CVPR24 FM4AS | Autonomous Grand Challenge Part I
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上海2024 端到端具身智能体技术研讨会 | 颁奖典礼
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仿生机器人
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上海2024 端到端具身智能体技术研讨会 | 比赛方案分享Part2
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上海2024 端到端具身智能体技术研讨会 | 视觉语言大模型与自动驾驶（赵行）
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CVPR24 FM4AS | Rares Ambrus: Visual Foundation Models for Embodied Applications
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CVPR24 FM4AS | Autonomous Grand Challenge Part II
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CVPR24 FM4AS | Ted Xiao: What's Missing for Robotics-first Foundation Models?
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CVPR24 FM4AS | Sergey Levine: Robotic Foundation Models
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蔡盼盼 自动驾驶决策规划
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CVPR24 FM4AS | Li Chen: Visual World Models as Foundation Models for Autonomous
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CVPR24 Tutorial | Hongyang Li at End-to-End Autonomy: A New Era of Self-Driving
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曾嘉 面向机器人操作的视觉表征预训练研究
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CVPR24 FM4AS | Panel: Challenges in Building Foundations Models for Embodied AI
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上海2024 端到端具身智能体技术研讨会 | 比赛方案分享Part1
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上海2024 端到端具身智能体技术研讨会 | 圆桌与辩论
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上海端到端具身智能体技术讲习班 | 致辞
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李志琦 BEVFormer: Looking back and looking forward
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CVPR24 Tutorial | Kristen Grauman: Ego(-Exo)4D
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CVPR24 FM4AS | Andrei Bursuc: Foundation Models in the Automotive Industry
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北京2023 自动驾驶论坛｜Keynote 4: Planning-oriented Autonomous Driving
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北京2023 自动驾驶论坛｜Keynote 2:Sparse Feature Map based Super Long Range BEV Perception
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CVPR24 Tutorial | Chelsea Finn: Humanoids and Robot Generalists