Description
Book SynopsisCEIA: 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.
