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Can Qin

9 papers hereh-index 6518 citations11 works total

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

author position
  • middle author7

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI2
  • cs.LG2
  • cs.CL1
same name
  • Can Qin — 23 papers, h 25
  • Can Qin — 9 papers, h 9
  • Can Qin — 3 papers, h 3
  • Can Qin — 2 papers, h 2
  • Can Qin — 1 paper

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
20242026
most citedBLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

BLIP3o-NEXT: Next Frontier of Native Image Generation

Jiuhai Chen, Le Xue, Zhiyang Xu +12

We present BLIP3o-NEXT, a fully open-source foundation model in the BLIP3 series that advances the next frontier of native image generation. BLIP3o-NEXT unifies text-to-image gener…

cs.CV2025

VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents

Rui Meng, Ziyan Jiang, Ye Liu +10

Multimodal embedding models have been crucial in enabling various downstream tasks such as semantic similarity, information retrieval, and clustering over different modalities. How…

cs.CV2025★ 1 cited

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Jiuhai Chen, Zhiyang Xu, Xichen Pan +10

Unifying image understanding and generation has gained growing attention in recent research on multimodal models. Although design choices for image understanding have been extensiv…

cs.CV2024

MuseumMaker: Continual Style Customization without Catastrophic Forgetting

Chenxi Liu, Gan Sun, Wenqi Liang +3

Pre-trained large text-to-image (T2I) models with an appropriate text prompt has attracted growing interests in customized images generation field. However, catastrophic forgetting…

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