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Jinhui Tang

13 papers hereh-index 4286 citations16 works total

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

author position
  • middle author4
  • last author7

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.IR2
  • cs.AI1
  • cs.CL1
  • cs.GR1
same name
  • Jinhui Tang — 48 papers, h 80
  • Jinhui Tang — 16 papers, h 14
  • Jinhui Tang — 10 papers, h 13
  • Jinhui Tang — 9 papers, h 6
  • Jinhui Tang — 7 papers, h 14
  • Jinhui Tang — 6 papers, h 5

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
20222026
most citedA Competitive Method for Dog Nose-print Re-identification

8 citations · 12 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025★ 1 cited

LeCoT: revisiting network architecture for two-view correspondence pruning

Luanyuan Dai, Xiaoyu Du, Jinhui Tang

Two-view correspondence pruning aims to accurately remove incorrect correspondences (outliers) from initial ones and is widely applied to various computer vision tasks. Current pop…

cs.CV2025

IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout

Fei Shen, Yutong Gao, Jian Yu +2

Despite advances in diffusion-based image editing, manipulating multi-object scenes remains challenging. Existing approaches often achieve semantic changes at the expense of struct…

cs.CV2025

IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design

Fei Shen, Jian Yu, Cong Wang +3

This paper presents IMAGGarment, a fine-grained garment generation (FGG) framework that enables high-fidelity garment synthesis with precise control over silhouette, color, and log…

cs.CV2025★ 3 cited

Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model

Fei Shen, Cong Wang, Junyao Gao +4

Recent advances in conditional diffusion models have shown promise for generating realistic TalkingFace videos, yet challenges persist in achieving consistent head movement, synchr…

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