Computer Vision - ECCV 2024 Workshops

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.