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George Q. Huang

4 papers hereh-index 8376 citations10 works total

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.CV4
same name
  • George Q. Huang — 2 papers, h 1
  • George Q. Huang — 1 paper, h 80
  • George Q. Huang — 1 paper, h 7
  • George Q. Huang — 1 paper, h 5
  • George Q. Huang — 1 paper, h 10

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 citedA Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges

30 citations · 35 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification

Rui Wang, Chuanfu Shen, Manuel J. Marin-Jimenez +2

Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different s…

cs.CV2022★ 5 cited

LidarGait: Benchmarking 3D Gait Recognition with Point Clouds

Chuanfu Shen, Chao Fan, Wei Wu +3

Video-based gait recognition has achieved impressive results in constrained scenarios. However, visual cameras neglect human 3D structure information, which limits the feasibility…

cs.CV2022★ 30 cited

A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges

Chuanfu Shen, Shiqi Yu, Jilong Wang +2

Gait recognition aims to identify a person at a distance, serving as a promising solution for long-distance and less-cooperation pedestrian recognition. Recently, significant advan…

cs.CV2022

Gait Recognition with Mask-based Regularization

Chuanfu Shen, Beibei Lin, Shunli Zhang +3

Most gait recognition methods exploit spatial-temporal representations from static appearances and dynamic walking patterns. However, we observe that many part-based methods neglec…

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