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Zongxin Yang

6 papers hereh-index 3130 citations8 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
  • eess.IV1
same name
  • Zongxin Yang — 50 papers, h 28
  • Zongxin Yang — 4 papers, h 3
  • Zongxin Yang — 3 papers, h 5
  • Zongxin Yang — 3 papers, h 3
  • Zongxin Yang — 2 papers, 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

most citedMedSAM2: Segment Anything in 3D Medical Images and Videos

7 citations · 9 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Which Layer Causes Distribution Deviation? Entropy-Guided Adaptive Pruning for Diffusion and Flow Models

Changlin Li, Jiawei Zhang, Zeyi Shi +3

Large-scale vision generative models, including diffusion and flow models, have demonstrated remarkable performance in visual generation tasks. However, transferring these pre-trai…

cs.CV2025

SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis

Jianhui Wei, Zikai Xiao, Danyu Sun +4

Surgical video understanding is pivotal for enabling automated intraoperative decision-making, skill assessment, and postoperative quality improvement. However, progress in develop…

cs.CV2024★ 1 cited

Efficient Training of Large Vision Models via Advanced Automated Progressive Learning

Changlin Li, Jiawei Zhang, Sihao Lin +4

The rapid advancements in Large Vision Models (LVMs), such as Vision Transformers (ViTs) and diffusion models, have led to an increasing demand for computational resources, resulti…

cs.CV2024★ 1 cited

Controllable 3D Face Generation with Conditional Style Code Diffusion

Xiaolong Shen, Jianxin Ma, Chang Zhou +1

Generating photorealistic 3D faces from given conditions is a challenging task. Existing methods often rely on time-consuming one-by-one optimization approaches, which are not effi…

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