1 code implementation • CVPR 2022 • Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie zhou, Jiwen Lu
Most existing action quality assessment methods rely on the deep features of an entire video to predict the score, which is less reliable due to the non-transparent inference process and poor interpretability.
no code implementations • 13 Jul 2020 • Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han
That is, we seamlessly embed various intra-view information, cross-view multi-dimension bilinear interactive information, and a new view ensemble mechanism into a unified framework to make a decision via the optimization.
no code implementations • 19 Aug 2019 • Jinglin Xu, Junwei Han, Mingliang Xu, Feiping Nie, Xuelong. Li
Clustering is an effective technique in data mining to group a set of objects in terms of some attributes.
1 code implementation • CVPR 2019 • Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
Its key difference from the literature is the replacement of the image-level feature based measure in the final layer by a local descriptor based image-to-class measure.
no code implementations • CVPR 2016 • Jinglin Xu, Junwei Han, Feiping Nie
In real world applications, more and more data, for example, image/video data, are high dimensional and represented by multiple views which describe different perspectives of the data.