3 citations · 4 across the 11 of their papers we have counts for
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cs.CV2023
VidToMe: Video Token Merging for Zero-Shot Video Editing
Xirui Li, Chao Ma, Xiaokang Yang +1
Diffusion models have made significant advances in generating high-quality images, but their application to video generation has remained challenging due to the complexity of tempo…
cs.CV2023
Weakly Supervised Video Individual CountingWeakly Supervised Video Individual Counting
Xinyan Liu, Guorong Li, Yuankai Qi +5
Video Individual Counting (VIC) aims to predict the number of unique individuals in a single video. % Existing methods learn representations based on trajectory labels for individu…
cs.CV2023★ 3 cited
Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection
Chen Zhang, Guorong Li, Yuankai Qi +4
The goal of weakly supervised video anomaly detection is to learn a detection model using only video-level labeled data. However, prior studies typically divide videos into fixed-l…