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Yonghong Tian

5 papers hereh-index 13983 citations46 works total

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

author position
  • middle author1
  • last author4

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

fields
  • cs.CV4
  • cs.NE1
same name
  • Yonghong Tian — 88 papers, h 65
  • Yonghong Tian — 26 papers, h 24
  • Yonghong Tian — 25 papers, h 9
  • Yonghong Tian — 23 papers, h 9
  • Yonghong Tian — 22 papers, h 9
  • Yonghong Tian — 8 papers, h 7

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
20232025
most citedLanguage-Inspired Relation Transfer for Few-shot Class-Incremental Learning

15 citations · 20 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025★ 15 cited

Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning

Yifan Zhao, Jia Li, Zeyin Song +1

Depicting novel classes with language descriptions by observing few-shot samples is inherent in human-learning systems. This lifelong learning capability helps to distinguish new k…

cs.CV2024

High-speed and High-quality Vision Reconstruction of Spike Camera with Spike Stability Theorem

Wei Zhang, Weiquan Yan, Yun Zhao +4

Neuromorphic vision sensors, such as the dynamic vision sensor (DVS) and spike camera, have gained increasing attention in recent years. The spike camera can detect fine textures b…

cs.CV2024★ 1 cited

Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation

Hanyu Zhou, Yi Chang, Zhiwei Shi +4

Optical flow has made great progress in clean scenes, while suffers degradation under adverse weather due to the violation of the brightness constancy and gradient continuity assum…

cs.CV2023★ 1 cited

HiFi-123: Towards High-fidelity One Image to 3D Content Generation

Wangbo Yu, Li Yuan, Yan-Pei Cao +6

Recent advances in diffusion models have enabled 3D generation from a single image. However, current methods often produce suboptimal results for novel views, with blurred textures…

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