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Weizhan Zhang

13 papers hereh-index 6105 citations23 works total

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

author position
  • middle author9
  • last author4

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

fields
  • cs.CV8
  • cs.LG4
  • stat.ML1
same name
  • Weizhan Zhang — 7 papers, h 17
  • Weizhan Zhang — 7 papers, h 1
  • Weizhan Zhang — 3 papers, h 3
  • Weizhan Zhang — 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
20242026
most citedAccelerating Non-Maximum Suppression: A Graph Theory Perspective

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

SpotActor: Training-Free Layout-Controlled Consistent Image Generation

Jiahao Wang, Caixia Yan, Weizhan Zhang +6

Text-to-image diffusion models significantly enhance the efficiency of artistic creation with high-fidelity image generation. However, in typical application scenarios like comic b…

cs.CV2024★ 1 cited

Accelerating Non-Maximum Suppression: A Graph Theory Perspective

King-Siong Si, Lu Sun, Weizhan Zhang +4

Non-maximum suppression (NMS) is an indispensable post-processing step in object detection. With the continuous optimization of network models, NMS has become the ``last mile'' to…

cs.LG2024

How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis

Yuxin Dong, Tieliang Gong, Hong Chen +3

Domain generalization aims to learn invariance across multiple training domains, thereby enhancing generalization against out-of-distribution data. While gradient or representation…

cs.CV2024

OneActor: Consistent Character Generation via Cluster-Conditioned Guidance

Jiahao Wang, Caixia Yan, Haonan Lin +5

Text-to-image diffusion models benefit artists with high-quality image generation. Yet their stochastic nature hinders artists from creating consistent images of the same subject.…

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