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Fei Jiang

4 papers hereh-index 13578 citations40 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
same name
  • Fei Jiang — 5 papers
  • Fei Jiang — 4 papers, h 8
  • Fei Jiang — 2 papers
  • Fei Jiang — 2 papers
  • Fei Jiang — 2 papers
  • Fei Jiang — 1 paper, h 4

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 citedEfficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination

7 citations · 10 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 1 cited

An Intuitive and Unconstrained 2D Cube Representation for Simultaneous Head Detection and Pose Estimation

Huayi Zhou, Fei Jiang, Lili Xiong +1

Most recent head pose estimation (HPE) methods are dominated by the Euler angle representation. To avoid its inherent ambiguity problem of rotation labels, alternative quaternion-b…

cs.CV2022

SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection

Huayi Zhou, Fei Jiang, Hongtao Lu

Domain adaptive object detection (DAOD) aims to alleviate transfer performance degradation caused by the cross-domain discrepancy. However, most existing DAOD methods are dominated…

cs.CV2017★ 7 cited

Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination

Fei Jiang, Xiao-Yang Liu, Hongtao Lu +1

Sparse coding (SC) is an automatic feature extraction and selection technique that is widely used in unsupervised learning. However, conventional SC vectorizes the input images, wh…

cs.CV2017★ 2 cited

Graph Regularized Tensor Sparse Coding for Image Representation

Fei Jiang, Xiao-Yang Liu, Hongtao Lu +1

Sparse coding (SC) is an unsupervised learning scheme that has received an increasing amount of interests in recent years. However, conventional SC vectorizes the input images, whi…

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