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Event cameras have attracted considerable attention for object tracking due to their microsecond-level temporal resolution and wide …

Most existing RGB-Event trackers rely on strictly aligned datasets, overlooking the asynchronous spatio-temporal resolutions common in …

The Vision Transformer has gained popularity as a neural network architecture for event-based vision tasks. However, its use on …

Unsupervised Domain Adaptation (UDA) is a challenging task in person search. It adapts a well-trained model from a labeled source …

Emotion recognition is essential for improving user experience and interaction quality in human-centered applications. While recent …

Domain-adaptive person search (DAPS) aims to transfer pedestrian detection and re-identification capabilities from a labeled source …

Eye tracking is critical for VR/AR applications, requiring low-latency, high-frequency systems due to rapid eye movements. Event …

Underwater images play a vital role in marine exploration, but are often severely degraded due to complex imaging conditions, including …

Existing underwater image enhancement (UIE) methods typically prioritize improving image quality at the expense of algorithmic …

Combining the advantages of conventional and event cameras for robust visual tracing has drawn extensive interest. However, existing …