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Bing Li

19 papers hereh-index 6166 citations28 works total

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

author position
  • middle author16

Across the 16 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.CL2
  • cs.AI1
  • cs.IR1
same name
  • Bing Li — 30 papers, h 15
  • Bing Li — 26 papers, h 9
  • Bing Li — 25 papers, h 36
  • Bing Li — 25 papers, h 14
  • Bing Li — 25 papers, h 24
  • Bing Li — 24 papers, h 35

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 citedNFT1000: A Cross-Modal Dataset for Non-Fungible Token Retrieval

3 citations · 4 across the 17 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

4 papers · 2 filters

cs.CV2025

MMhops-R1: Multimodal Multi-hop Reasoning

Tao Zhang, Ziqi Zhang, Zongyang Ma +7

The ability to perform multi-modal multi-hop reasoning by iteratively integrating information across various modalities and external knowledge is critical for addressing complex re…

cs.CV2025

Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations

Yifan Lu, Ziqi Zhang, Chunfeng Yuan +5

Large Vision-Language Models (LVLMs) suffer from serious hallucination problems, where the model-generated responses are inconsistent with the visual inputs. Existing hallucination…

cs.CV2025

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval

Yuxin Yang, Yinan Zhou, Yuxin Chen +8

Composed Image Retrieval (CIR) aims to retrieve target images from a gallery based on a reference image and modification text as a combined query. Recent approaches focus on balanc…

cs.CV2025

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment

Shuhao Han, Haotian Fan, Fangyuan Kong +112

This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoratio…

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