Computer Vision ECCV 2024 Workshops: Milan, Italy, September 29-October 4, 2024,

Publisher Description

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.   

Table of Contents

CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding.- Event-based Motion Deblurring with Dual Channel Attention.- Optimal OnTheFly Feedback Control of Event Sensors. EventSleep: Sleep Activity Recognition with Event Cameras.- ES-PTAM: Event-based Stereo Parallel Tracking and Mapping.- Lossy Encoding of Time-aggregated Neuromorphic Vision Sensor Data based on Point Cloud Compression.- Drone Detection Using a Low-Power Neuromorphic Virtual Tripwire.- Event Stream Super Resolution using Sigma Delta Neural Network.- Tracking-Assisted Object Detection with Event Cameras.- MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of Mice.- HUE Dataset: High-Resolution Event and Frame Sequences for Low-Light Vision.- Millisecond-latency Visual Fault-buttons using Event-cameras.- Neuromorphic Facial Analysis with Cross-Modal Supervision.- Evaluating Image-Based Face and Eye Tracking with Event Cameras.- Scaling Up Resonate-and-Fire Networks for Fast Deep Learning.- Neuromorphic Drone Detection: an Event-RGB Multimodal Approach.- Pushing the boundaries of event subsampling in event-based video classifcation using CNNs.- Vibration Vision: Real-Time Machinery Fault Diagnosis with Event Cameras.- S-ROPE: Spectral Frame Representation of Periodic Events.- Autobiasing Event Cameras.- Recent Event Camera Innovations: A Survey.- EvDownsampling: A Robust Method For Downsampling Event Camera Data.

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