2 citations · 4 across the 14 of their papers we have counts for
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cs.CV2026
Event Stream based Multi-Modal Video Anomaly Detection: A Benchmark Dataset and Algorithms
Peipei Zhu, Yueqing Niu, Lin Zhu +3
Video anomaly detection (VAD) is critical for automated surveillance but remains fragile under challenging conditions such as illumination variations, fast motion, and complex back…
cs.CV2026
Dynamic Pondering Sparsity-aware Mixture-of-Experts Transformer for Event Stream based Visual Object Tracking
Shiao Wang, Xiao Wang, Duoqing Yang +5
Despite significant progress, RGB-based trackers remain vulnerable to challenging imaging conditions, such as low illumination and fast motion. Event cameras offer a promising alte…
cs.CV2026
Decoupling Amplitude and Phase Attention in Frequency Domain for RGB-Event based Visual Object Tracking
Shiao Wang, Xiao Wang, Haonan Zhao +6
Existing RGB-Event visual object tracking approaches primarily rely on conventional feature-level fusion, failing to fully exploit the unique advantages of event cameras. In partic…