no code implementations • 22 Apr 2024 • Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, QinGhua Hu
Note that constraints on intra-sample similarities and inter-sample dissimilarities can be efficiently and effectively reformulated into a contrastive learning framework with newly designed positive and negative pairs.
no code implementations • IEEE Transactions on Image Processing 2022 • Wencheng Zhu, Yucheng Han, Jiwen Lu, Jie zhou
Then, we construct a temporal graph by using the aggregated representations of spatial graphs.
Ranked #1 on Video Summarization on TvSum (using extra training data)
1 code implementation • 18 Feb 2021 • Wencheng Zhu, Jiahao Li, Jiwen Lu, Jie zhou
Specifically, we first compute a pixel-wise similarity matrix by using representations of reference and target pixels and then select top-rank reference pixels for target pixel classification.
1 code implementation • 1 Dec 2020 • Wencheng Zhu, Jiwen Lu, Jiahao Li, and Jie Zhou
In this paper, we propose a Detect-to-Summarize network (DSNet) framework for supervised video summarization.
Ranked #2 on Video Summarization on TvSum (using extra training data)