27 citations · 35 across the 5 of their papers we have counts for
5 papers
Effective Action Recognition with Embedded Key Point Shifts
Haozhi Cao, Yuecong Xu, Jianfei Yang +3
Temporal feature extraction is an essential technique in video-based action recognition. Key points have been utilized in skeleton-based action recognition methods but they require…
PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition
Yuecong Xu, Haozhi Cao, Jianfei Yang +3
Long-range spatiotemporal dependencies capturing plays an essential role in improving video features for action recognition. The non-local block inspired by the non-local means is…
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition
Yuecong Xu, Jianfei Yang, Kezhi Mao +2
Temporal feature extraction is an important issue in video-based action recognition. Optical flow is a popular method to extract temporal feature, which produces excellent performa…
Improving Relation Extraction with Knowledge-attention
Pengfei Li, Kezhi Mao, Xuefeng Yang +1
While attention mechanisms have been proven to be effective in many NLP tasks, majority of them are data-driven. We propose a novel knowledge-attention encoder which incorporates p…
Supervised Fine Tuning for Word Embedding with Integrated Knowledge
Xuefeng Yang, Kezhi Mao
Learning vector representation for words is an important research field which may benefit many natural language processing tasks. Two limitations exist in nearly all available mode…