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K. Mao

17 papers hereh-index 297k citations94 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author11
  • last author4

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.CL3
  • cs.LG2
  • eess.SY2
  • cs.NE1
same name
  • K. Mao — 2 papers, h 14
  • K. Mao — 1 paper, h 2
  • K. Mao — 1 paper, h 1
  • K. Mao — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedDeep Learning and Its Applications to Machine Health Monitoring: A Survey

149 citations · 400 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 2 cited

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…

cs.CV2020

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…

cs.CV2020

ARID: A New Dataset for Recognizing Action in the Dark

Yuecong Xu, Jianfei Yang, Haozhi Cao +3

The task of action recognition in dark videos is useful in various scenarios, e.g., night surveillance and self-driving at night. Though progress has been made in the action recogn…

cs.CV2020★ 2 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.