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researcher

Panfeng Li

University of Michigan

12 papers hereh-index 11553 citations14 works total

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

author position
  • first author3
  • middle author9

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.CL1
  • cs.LG1
  • cs.SI1
  • physics.med-ph1
  • q-fin.CP1
affiliations
  • University of Michigan
same name
  • Panfeng Li — 3 papers, h 2
  • Panfeng Li — 1 paper, h 2

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
20182025
most citedExploring Diverse Methods in Visual Question Answering

52 citations · 283 across the 12 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

4 papers · 2 filters

cs.CV2024★ 23 cited

Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods

Yiming Zhou, Zixuan Zeng, Andi Chen +7

Exploring the capabilities of Neural Radiance Fields (NeRF) and Gaussian-based methods in the context of 3D scene reconstruction, this study contrasts these modern approaches with…

cs.CV2024★ 8 cited

Enhance Image-to-Image Generation with LLaVA-generated Prompts

Zhicheng Ding, Panfeng Li, Qikai Yang +1

This paper presents a novel approach to enhance image-to-image generation by leveraging the multimodal capabilities of the Large Language and Vision Assistant (LLaVA). We propose a…

cs.CV2024★ 27 cited

Regional Style and Color Transfer

Zhicheng Ding, Panfeng Li, Qikai Yang +2

This paper presents a novel contribution to the field of regional style transfer. Existing methods often suffer from the drawback of applying style homogeneously across the entire…

cs.CV2024★ 52 cited

Exploring Diverse Methods in Visual Question Answering

Panfeng Li, Qikai Yang, Xieming Geng +3

This study explores innovative methods for improving Visual Question Answering (VQA) using Generative Adversarial Networks (GANs), autoencoders, and attention mechanisms. Leveragin…

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