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Produktbild: Computer Vision – ECCV 2024 Workshops
Band 15629

Computer Vision – ECCV 2024 Workshops Milan, Italy, September 29–October 4, 2024, Proceedings, Part VII

Aus der Reihe Lecture Notes in Computer Science

156,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2025

Abbildungen

LV, 107 illus., 103 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Alessio Del Bue + weitere

Verlag

Springer

Seitenzahl

387

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

668 g

Sprache

Englisch

ISBN

978-3-031-91766-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2025

Abbildungen

LV, 107 illus., 103 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

387

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

668 g

Sprache

Englisch

ISBN

978-3-031-91766-0

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Computer Vision – ECCV 2024 Workshops

  • Valeo4Cast: A Modular Approach to End-to-End Forecasting.- AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data.- Autonomous Drone-Person Tracking and Following in Uniform Appearance Scenarios.- Continual Reinforcement Learning with Implicit Generative Replay for Autonomous Driving.- Self-supervised Road Accident Anticipation with Non-decreasing Danger.- 3D Object Detection and Tracking Refinement with Ensemble Methods and Spatiotemporal Filtering.- Conditional Unscented Autoencoders for Trajectory Prediction.- Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation.- TrackLidFormer: a Transformer-based Approach for Occluded Object Tracking.- Good Data Is All Imitation Learning Needs.- What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon.- High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving.- RLNet: Adaptive Fusion of 4D Radar and Lidar for 3D Object Detection.- Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition.- AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving.- On Camera and LiDAR Positions in End-to-End Autonomous Driving.- ProGBA: Prompt Guided Bayesian Augmentation for Zero-shot Domain Adaptation.- ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable.- Loop Mining Large-Scale Unlabeled Data for Corner Case Detection in Autonomous Driving.- HumanSim: Human-Like Multi-Agent Novel Driving Simulation for Corner Case Generation.- Talk to Parallel LiDARs: A Human-LiDAR Interaction Method Based on 3D Visual Grounding.- RoSA Dataset: Road Construct zone Segmentation for Autonomous Driving.- A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection.- The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results.