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researcher

Ge Wu

4 papers hereh-index 381 citations5 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
same name
  • Ge Wu — 6 papers, h 3
  • Ge Wu — 3 papers, h 9
  • Ge Wu — 1 paper, h 2
  • Ge Wu — 1 paper, h 2
  • Ge Wu — 1 paper, h 3
  • Ge Wu — 1 paper, h 1

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
20202026
most citedAIM 2020 Challenge on Rendering Realistic Bokeh

6 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

WaDi: Weight Direction-aware Distillation for One-step Image Synthesis

Lei Wang, Yang Cheng, Senmao Li +3

Despite the impressive performance of diffusion models such as Stable Diffusion (SD) in image generation, their slow inference limits practical deployment. Recent works accelerate…

cs.CV2024

Cascade Prompt Learning for Vision-Language Model Adaptation

Ge Wu, Xin Zhang, Zheng Li +4

Prompt learning has surfaced as an effective approach to enhance the performance of Vision-Language Models (VLMs) like CLIP when applied to downstream tasks. However, current learn…

cs.LG2023★ 2 cited

A Survey of Historical Learning: Learning Models with Learning History

Xiang Li, Ge Wu, Lingfeng Yang +3

New knowledge originates from the old. The various types of elements, deposited in the training history, are a large amount of wealth for improving learning deep models. In this su…

eess.IV2020★ 6 cited

AIM 2020 Challenge on Rendering Realistic Bokeh

Andrey Ignatov, Radu Timofte, Ming Qian +32

This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solvin…

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