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Shengfeng He

4 papers hereh-index 7142 citations35 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
same name
  • Shengfeng He — 21 papers, h 6
  • Shengfeng He — 18 papers, h 31
  • Shengfeng He — 18 papers, h 20
  • Shengfeng He — 17 papers, h 8
  • Shengfeng He — 8 papers, h 4
  • Shengfeng He — 8 papers, h 3

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 citedRotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning

6 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025★ 6 cited

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning

Bangzhen Liu, Chenxi Zheng, Xuemiao Xu +3

The vulnerability of 3D point cloud analysis to unpredictable rotations poses an open yet challenging problem: orientation-aware 3D domain generalization. Cross-domain robustness a…

eess.IV2025★ 1 cited

Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis

Yiliang Chen, Steven SC Ho, Cheng Xu +4

Tongue diagnosis is a vital tool in Western and Traditional Chinese Medicine, providing key insights into a patient's health by analyzing tongue attributes. The COVID-19 pandemic h…

cs.CV2025★ 4 cited

MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-Self-Attention

Rui Yang, Xiaojun Wu, Shengfeng He

Current sketch extraction methods either require extensive training or fail to capture a wide range of artistic styles, limiting their practical applicability and versatility. We i…

cs.LG2024

DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers

Xiao Ma, Shengfeng He, Hezhe Qiao +1

Enabling efficient and accurate deep neural network (DNN) inference on microcontrollers is non-trivial due to the constrained on-chip resources. Current methodologies primarily foc…

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