A recurrent YOLOv8-based framework for event-based object detection
Object detection plays a crucial role in various cutting-edge applications, such as
autonomous vehicles and advanced robotics systems, primarily relying on conventional …
autonomous vehicles and advanced robotics systems, primarily relying on conventional …
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition
X Lin, M Liu, H Chen - Frontiers in Computational Neuroscience, 2024 - frontiersin.org
Event-based cameras are suitable for human action recognition (HAR) by providing
movement perception with highly dynamic range, high temporal resolution, high power …
movement perception with highly dynamic range, high temporal resolution, high power …
EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning
The event camera has demonstrated significant success across a wide range of areas due
to its low time latency and high dynamic range. However, the community faces challenges …
to its low time latency and high dynamic range. However, the community faces challenges …
AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy
The increasing capabilities of deep neural networks for re-identification, combined with the
rise in public surveillance in recent years, pose a substantial threat to individual privacy …
rise in public surveillance in recent years, pose a substantial threat to individual privacy …
ShapeAug++: More Realistic Shape Augmentation for Event Data
The novel Dynamic Vision Sensors (DVSs) gained a great amount of attention recently as
they are superior compared to RGB cameras in terms of latency, dynamic range and energy …
they are superior compared to RGB cameras in terms of latency, dynamic range and energy …