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Zhanwen Liu

2 accepted papers

2025

SMamba: Sparse Mamba for Event-based Object Detection

AAAI 2025technical

Transformer-based methods have achieved remarkable performance in event-based object detection, owing to the global modeling ability. However, they neglect the influence of non-event and noisy regions and process them uniformly, leading to high computational overhead. To mitigate computation cost, s…

2024

Multi-View Depth Estimation by Using Adaptive Point Graph to Fuse Single-View Depth Probabilities

RA-L 2024

Recently, some methods estimate depth maps by fusing several adjacent single-view depth probabilities. They have achieved promising performance in multi-view inconsistent areas, such as texture-less surfaces, reflective surfaces, and moving objects. However, these methods involve two new problems: t

Cited by 3SourceScholar