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Bin Fang

4 papers hereh-index 359 citations6 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.RO2
  • cs.CV1
  • cs.LG1
same name
  • Bin Fang — 16 papers, h 38
  • Bin Fang — 7 papers, h 3
  • Bin Fang — 3 papers, h 2
  • Bin Fang — 2 papers, h 14
  • Bin Fang — 2 papers, h 4
  • Bin Fang — 2 papers, h 11

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 citedTowards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset

3 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2026★ 1 cited

Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms

Zhixiang Cao, Di Tian, Runwei Guan +11

Tactile sensing is a fundamental modality for embodied intelligence, offering unique and direct feedback on contact geometry, material properties, and interaction dynamics that rem…

cs.RO2024★ 3 cited

Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation

Ning Cheng, Changhao Guan, Jing Gao +7

Touch holds a pivotal position in enhancing the perceptual and interactive capabilities of both humans and robots. Despite its significance, current tactile research mainly focuses…

cs.LG2024★ 1 cited

Transformer in Touch: A Survey

Jing Gao, Ning Cheng, Bin Fang +1

The Transformer model, initially achieving significant success in the field of natural language processing, has recently shown great potential in the application of tactile percept…

cs.CV2024★ 3 cited

Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset

Ning Cheng, You Li, Jing Gao +3

Tactility provides crucial support and enhancement for the perception and interaction capabilities of both humans and robots. Nevertheless, the multimodal research related to touch…

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