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Xin Geng

13 papers hereh-index 580 citations16 works total

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

author position
  • middle author6
  • last author7

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

fields
  • cs.CV8
  • cs.LG4
  • cs.DC1
same name
  • Xin Geng — 35 papers, h 45
  • Xin Geng — 15 papers, h 7
  • Xin Geng — 14 papers, h 6
  • Xin Geng — 11 papers, h 8
  • Xin Geng — 8 papers, h 4
  • Xin Geng — 7 papers, h 3

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
20232026
most citedTemporal Consistency-Aware Text-to-Motion Generation

2 citations · 3 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization

Xiaofeng Tan, Hongsong Wang, Xin Geng +1

Text-to-motion generation is essential for advancing the creative industry but often presents challenges in producing consistent, realistic motions. To address this, we focus on fi…

cs.CV2024

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection

Xiaofeng Tan, Hongsong Wang, Xin Geng +1

Video anomaly detection (VAD) is a vital yet complex open-set task in computer vision, commonly tackled through reconstruction-based methods. However, these methods struggle with t…

cs.LG2024

Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization

Shunxin Guo, Hongsong Wang, Shuxia Lin +2

Federated learning is an efficient framework designed to facilitate collaborative model training across multiple distributed devices while preserving user data privacy. A significa…

cs.CV2024

Controllable Dance Generation with Style-Guided Motion Diffusion

Hongsong Wang, Ying Zhu, Xin Geng +1

Dance plays an important role as an artistic form and expression in human culture, yet automatically generating dance sequences is a significant yet challenging endeavor. Existing…

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