Sergio Casas

収録論文 29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

• Scaling Laws of Motion Forecasting and Planning -- Technical Report
  2025/6/1
• Learning to Drive via Asymmetric Self-Play
  2024/9/1
• DeTra: A Unified Model for Object Detection and Trajectory Forecasting
  2024/6/1
• UnO: Unsupervised Occupancy Fields for Perception and Forecasting
  2024/6/1
• QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
  2024/4/1
• Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
  2023/11/1
• MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory
  2023/11/1
• Towards Unsupervised Object Detection From LiDAR Point Clouds
  2023/11/1
• LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds
  2023/11/1
• 4D-Former: Multimodal 4D Panoptic Segmentation
  2023/11/1
• Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
  2023/8/1
• GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
  2022/11/1
• Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
  2021/4/1
• Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
  2021/1/1
• AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
  2021/1/1
• LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
  2021/1/1
• IntentNet: Learning to Predict Intention from Raw Sensor Data
  2021/1/1
• Diverse Complexity Measures for Dataset Curation in Self-driving
  2021/1/1
• TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
  2021/1/1
• End-to-end Interpretable Neural Motion Planner
  2021/1/1
• MP3: A Unified Model to Map, Perceive, Predict and Plan
  2021/1/1
• Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
  2021/1/1
• StrObe: Streaming Object Detection from LiDAR Packets
  2020/11/1
• Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
  2020/8/1
• Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
  2020/7/1
• The Importance of Prior Knowledge in Precise Multimodal Prediction
  2020/6/1
• PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
  2020/5/1
• Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
  2019/10/1
• Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
  2019/10/1