2 citations · 3 across the 3 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.CV2022★ 2 cited
Prompt-based Learning for Unpaired Image Captioning
Peipei Zhu, Xiao Wang, Lin Zhu +4
Unpaired Image Captioning (UIC) has been developed to learn image descriptions from unaligned vision-language sample pairs. Existing works usually tackle this task using adversaria…
cs.CV2022★ 1 cited
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
Peipei Zhu, Xiao Wang, Yong Luo +4
The goal of unpaired image captioning (UIC) is to describe images without using image-caption pairs in the training phase. Although challenging, we except the task can be accomplis…