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Siyang Li

5 papers hereh-index 7238 citations11 works total

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

author position
  • middle author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.IR1
same name
  • Siyang Li — 20 papers, h 11
  • Siyang Li — 19 papers, h 8
  • Siyang Li — 12 papers, h 10
  • Siyang Li — 5 papers, h 5
  • Siyang Li — 2 papers, h 7
  • Siyang 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
20192024
most citedRegional Style and Color Transfer

27 citations · 35 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

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.CV2023

CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor

Shuyang Sun, Runjia Li, Philip Torr +2

Existing open-vocabulary image segmentation methods require a fine-tuning step on mask labels and/or image-text datasets. Mask labels are labor-intensive, which limits the number o…

cs.CV2019

Confidence Trigger Detection: Accelerating Real-time Tracking-by-detection Systems

Zhicheng Ding, Zhixin Lai, Siyang Li +3

Real-time object tracking necessitates a delicate balance between speed and accuracy, a challenge exacerbated by the computational demands of deep learning methods. In this paper,…

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