Computer Vision - ECCV 2024 Workshops
Milan, Italy, September 29-October 4, 2024, Proceedings, Part VIII
Herausgegeben:Del Bue, Alessio; Canton, Cristian; Pont-Tuset, Jordi; Tommasi, Tatiana
Computer Vision - ECCV 2024 Workshops
Milan, Italy, September 29-October 4, 2024, Proceedings, Part VIII
Herausgegeben:Del Bue, Alessio; Canton, Cristian; Pont-Tuset, Jordi; Tommasi, Tatiana
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The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29 October 4, 2024.
These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
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- Computer Vision - ECCV 2024 Workshops112,99 €
- Computer Vision - ECCV 2024 Workshops112,99 €
- Computer Vision - ECCV 2024 Workshops112,99 €
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The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29 October 4, 2024.
These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 15630
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-91812-4
- Seitenzahl: 384
- Erscheinungstermin: 25. Mai 2025
- Englisch
- Abmessung: 235mm x 155mm x 21mm
- Gewicht: 581g
- ISBN-13: 9783031918124
- ISBN-10: 3031918126
- Artikelnr.: 73722768
- Herstellerkennzeichnung
- Springer Nature c/o IBS
- Benzstrasse 21
- 48619 Heek
- Tanja.Keller@springer.com
- Lecture Notes in Computer Science 15630
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-91812-4
- Seitenzahl: 384
- Erscheinungstermin: 25. Mai 2025
- Englisch
- Abmessung: 235mm x 155mm x 21mm
- Gewicht: 581g
- ISBN-13: 9783031918124
- ISBN-10: 3031918126
- Artikelnr.: 73722768
- Herstellerkennzeichnung
- Springer Nature c/o IBS
- Benzstrasse 21
- 48619 Heek
- Tanja.Keller@springer.com
Multi-agent Collaborative Perception for Robotic Fleet: A Systematic Review.- RP3D: A Roadside Perception Framework for 3D Object Detection via Multi-View Sensor Fusion.- StreamLTS: Query-based Temporal-Spatial LiDAR Fusion for Cooperative Object Detection.- GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.- SC-Track: State Transition and Constrained Non-negative Matrix Factorization for Multi-Camera Multi-Target Tracking.- Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones.- VICooper: A Practical Vehicle-Infrastructure Cooperative Perception Framework for Autonomous Driving.- MEDCO: Medical Education Copilots Based on A Multi-Agent Framework.- V2X-Based Decentralized Singular Value Decomposition in Dynamic Vehicular Environment.- LLaMAPed: Multi-modal Pedestrian Crossing Intention Prediction.- Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint.- An Infrastructure-based Localization Method for Articulated Vehicles.- HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles.- Rethinking the Role of Infrastructure in Collaborative Perception.- Empowering Autonomous Shuttles with Next-Generation Infrastructure.- MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making.- RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version).- iIPPC-V2X: Multi-modality Fusion Perception System for Cooperative Vehicle Infrastructure System with Self-supervised Learning.- Non-verbal Interaction and Interface with a Quadruped Robot using Body and Hand Gestures: Design and User Experience Evaluation.- Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection.
Multi-agent Collaborative Perception for Robotic Fleet: A Systematic Review.- RP3D: A Roadside Perception Framework for 3D Object Detection via Multi-View Sensor Fusion.- StreamLTS: Query-based Temporal-Spatial LiDAR Fusion for Cooperative Object Detection.- GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.- SC-Track: State Transition and Constrained Non-negative Matrix Factorization for Multi-Camera Multi-Target Tracking.- Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones.- VICooper: A Practical Vehicle-Infrastructure Cooperative Perception Framework for Autonomous Driving.- MEDCO: Medical Education Copilots Based on A Multi-Agent Framework.- V2X-Based Decentralized Singular Value Decomposition in Dynamic Vehicular Environment.- LLaMAPed: Multi-modal Pedestrian Crossing Intention Prediction.- Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint.- An Infrastructure-based Localization Method for Articulated Vehicles.- HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles.- Rethinking the Role of Infrastructure in Collaborative Perception.- Empowering Autonomous Shuttles with Next-Generation Infrastructure.- MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making.- RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version).- iIPPC-V2X: Multi-modality Fusion Perception System for Cooperative Vehicle Infrastructure System with Self-supervised Learning.- Non-verbal Interaction and Interface with a Quadruped Robot using Body and Hand Gestures: Design and User Experience Evaluation.- Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection.