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researcher

Bin Yang

4 papers hereh-index 3248 citations4 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
same name
  • Bin Yang — 37 papers, h 12
  • Bin Yang — 30 papers, h 21
  • Bin Yang — 30 papers, h 11
  • Bin Yang — 14 papers, h 34
  • Bin Yang — 11 papers, h 15
  • Bin Yang — 10 papers, h 18

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

activity
20232026
most citedDDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models

15 citations · 15 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Scene Graph-guided SegCaptioning Transformer with Fine-grained Alignment for Controllable Video Segmentation and Captioning

Xu Zhang, Jin Yuan, BinHong Yang +5

Recent advancements in multimodal large models have significantly bridged the representation gap between diverse modalities, catalyzing the evolution of video multimodal interpreta…

cs.CV2025

No More Sibling Rivalry: Debiasing Human-Object Interaction Detection

Bin Yang, Yulin Zhang, Hong-Yu Zhou +1

Detection transformers have been applied to human-object interaction (HOI) detection, enhancing the localization and recognition of human-action-object triplets in images. Despite…

cs.CV2024

Part2Object: Hierarchical Unsupervised 3D Instance Segmentation

Cheng Shi, Yulin Zhang, Bin Yang +3

Unsupervised 3D instance segmentation aims to segment objects from a 3D point cloud without any annotations. Existing methods face the challenge of either too loose or too tight cl…

cs.CV2023★ 15 cited

DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models

Ge Zheng, Bin Yang, Jiajin Tang +2

A long-standing goal of AI systems is to perform complex multimodal reasoning like humans. Recently, large language models (LLMs) have made remarkable strides in such multi-step re…

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