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Zhe Feng

4 papers hereh-index 2141 citations7 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.CV2
  • cs.RO2
same name
  • Zhe Feng — 22 papers, h 15
  • Zhe Feng — 7 papers, h 5
  • Zhe Feng — 5 papers, h 6
  • Zhe Feng — 5 papers, h 2
  • Zhe Feng — 5 papers, h 2
  • Zhe Feng — 4 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 citedMultimodal Fusion and Vision-Language Models: A Survey for Robot Vision

33 citations · 33 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

GTR: Gated Token Recurrence for Efficient Dense Prediction

Zhe Feng, Longfei Liu, Wei Liu +7

Self-attention-based vision backbones perform well on dense prediction, but the quadratic computational cost of global softmax attention limits their efficiency as image resolution…

cs.CV2026

LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel

Zhe Feng, Sen Lian, Changwei Wang +5

The quadratic complexity of softmax attention presents a major obstacle for scaling Transformers to high-resolution vision tasks. Existing linear attention variants often replace t…

cs.RO2026

HMR-1: Hierarchical Massage Robot with Vision-Language-Model for Embodied Healthcare

Rongtao Xu, Mingming Yu, Xiaofeng Han +7

The rapid advancement of Embodied Intelligence has opened transformative opportunities in healthcare, particularly in physical therapy and rehabilitation. However, critical challen…

cs.RO2025★ 33 cited

Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision

Xiaofeng Han, Shunpeng Chen, Zenghuang Fu +9

Robot vision has greatly benefited from advancements in multimodal fusion techniques and vision-language models (VLMs). We adopt a task-oriented perspective to systematically revie…

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