Different from visible cameras which record intensity images frame by frame, the biologically
inspired event camera produces a stream of asynchronous and sparse events with much …

Tracking with bio-inspired event cameras has garnered increasing interest in recent years.
Existing works either utilize aligned RGB and event data for accurate tracking or directly …

Reliable hand mesh reconstruction (HMR) from commonly-used color and depth sensors is
challenging especially under scenarios with varied illuminations and fast motions. Event …

Event-based cameras are predestined for Intelligent Transportation Systems (ITS). They
provide very high temporal resolution and dynamic range, which can eliminate motion blur …

Event cameras, or dynamic vision sensors, have recently achieved success from
fundamental vision tasks to high-level vision researches. Due to its ability to asynchronously …

The ability to detect objects in all lighting (ie, normal-, over-, and under-exposed) conditions
is crucial for real-world applications, such as self-driving. Traditional RGB-based detectors …

Robust keypoint detection and tracking are crucial for various robotic tasks. However,
conventional cameras struggle under rapid motion and lighting changes, hindering local …

Event cameras with high dynamic range ensure scene capture even in low-light conditions.
However, night events exhibit patterns different from those captured during the day. This …

Abstract Spiking Neural Networks (SNNs), renowned for their low power consumption, brain-
inspired architecture, and spatio-temporal representation capabilities, have garnered …

Current event-/frame-event based trackers undergo evaluation on short-term tracking
datasets, however, the tracking of real-world scenarios involves long-term tracking, and the …