4 citations · 8 across the 15 of their papers we have counts for
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cs.CV2022★ 1 cited
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification
Yufan Hu, Junyu Gao, Changsheng Xu
Most existing state-of-the-art video classification methods assume that the training data obey a uniform distribution. However, video data in the real world typically exhibit an im…
cs.CV2022★ 2 cited
Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding
Ziyue Wu, Junyu Gao, Shucheng Huang +1
Grounding temporal video segments described in natural language queries effectively and efficiently is a crucial capability needed in vision-and-language fields. In this paper, we…
cs.CV2022★ 4 cited
Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
Junyu Gao, Mengyuan Chen, Changsheng Xu
We target at the task of weakly-supervised action localization (WSAL), where only video-level action labels are available during model training. Despite the recent progress, existi…