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Jing Li

4 papers here

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • physics.atom-ph1
same name
  • Jing Li — 17 papers, h 30
  • Jing Li — 11 papers, h 16
  • Jing Li — 10 papers, h 17
  • Jing Li — 10 papers
  • Jing Li — 7 papers
  • Jing Li — 7 papers

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

most citedDeep Image-to-Video Adaptation and Fusion Networks for Action Recognition

51 citations · 51 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2019★ 51 cited

Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition

Yang Liu, Zhaoyang Lu, Jing Li +2

Existing deep learning methods for action recognition in videos require a large number of labeled videos for training, which is labor-intensive and time-consuming. For the same act…

cs.CV2019

Global Temporal Representation based CNNs for Infrared Action Recognition

Yang Liu, Zhaoyang Lu, Jing Li +2

Infrared human action recognition has many advantages, i.e., it is insensitive to illumination change, appearance variability, and shadows. Existing methods for infrared action rec…

physics.atom-ph2018

Theoretical investigation of the HgF radical towards laser cooling and eEDM measurement

Zhenghai Yang, Jing Li, Qinning Lin +4

In order to realize more sensitive eEDM measurement, it would be worthwhile to find some new laser-cooled molecules with larger internal effective electric field (Eeff​), highe…

cs.CV2018

Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

Yang Liu, Zhaoyang Lu, Jing Li +1

Recognizing human actions from varied views is challenging due to huge appearance variations in different views. The key to this problem is to learn discriminant view-invariant rep…

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