x-RAGE: eXtended Reality – Action & Gesture Events Dataset
This paper presents the first event-camera based egocentric gesture dataset for enabling neuromorphic, low-power solutions for XR-centric gesture recognition.
Event Stream based Sign Language Translation: A High-Definition Benchmark Dataset and A New Algorithm
Unlike traditional SLT based on visible light videos, which is easily affected by factors such as lighting, rapid hand movements, and privacy breaches, this paper proposes the use of high-definition Event streams for SLT, effectively mitigating the aforementioned issues.
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
This paper proposes a novel hierarchical knowledge distillation framework that can fully utilize multi-modal / multi-view information during training to facilitate knowledge transfer, enabling us to achieve high-speed and low-latency visual tracking during testing by using only event signals.
A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
This paper introduces a new hybrid dataset encompassing both RGB and event data for human pose estimation and tracking in two extreme scenarios: low-light and motion blur environments.
EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition
This paper proposes to recognize the scene text using bio-inspired event cameras by collecting and annotating a large-scale benchmark dataset, termed EventSTR. It contains 9,928 high-definition (1280 × 720) event samples and involves both Chinese and English characters.