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Jian Chen

Dolby Laboratories

13 papers hereh-index 9340 citations17 works total

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

author position
  • first author5
  • middle author6

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.CL2
  • cs.AI1
  • cs.LG1
affiliations
  • Dolby Laboratories
HomepageORCID 0000-0002-1999-1137
same name
  • Jian Chen — 22 papers, h 32
  • Jian Chen — 16 papers, h 13
  • Jian Chen — 16 papers, h 7
  • Jian Chen — 13 papers, h 20
  • Jian Chen — 13 papers, h 12
  • Jian Chen — 13 papers, h 4

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
20232025
most citedLabel-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels

8 citations · 17 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding

Jian Chen, Ming Li, Jihyung Kil +6

Most organizational data in this world are stored as documents, and visual retrieval plays a crucial role in unlocking the collective intelligence from all these documents. However…

cs.CV2025

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation

Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu +5

We introduce LLaVA-Reward, an efficient reward model designed to automatically evaluate text-to-image (T2I) generations across multiple perspectives, leveraging pretrained multimod…

cs.CV2025

MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models

Jian Chen, Wenye Ma, Penghang Liu +7

Multimodal Large Language Models (MLLMs) have achieved remarkable visual reasoning abilities in natural images, text-rich documents, and graphic designs. However, their ability to…

cs.CV2025

Towards Visual Text Grounding of Multimodal Large Language Model

Ming Li, Ruiyi Zhang, Jian Chen +7

Despite the existing evolution of Multimodal Large Language Models (MLLMs), a non-neglectable limitation remains in their struggle with visual text grounding, especially in text-ri…

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