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Tao He

10 papers hereh-index 595 citations14 works total

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

author position
  • first author1
  • middle author3
  • last author5

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG1
  • cs.SD1
same name
  • Tao He — 16 papers, h 7
  • Tao He — 13 papers, h 18
  • Tao He — 9 papers, h 7
  • Tao He — 8 papers, h 2
  • Tao He — 7 papers, h 2
  • Tao He — 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
20242026
most citedLMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

GHOST: Geometry-Constrained Hybrid Diffusion for Open-Vocabulary 3D Scene Graph Generation

Changqun Feng, Wangxiandi Yin, Xin Hu +4

3D scene graph generation requires understanding both object semantics and metric spatial relations. However, existing open-vocabulary methods often struggle with spatial predicate…

cs.CV2026

What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration

Cencen Liu, Wen Yin, Dongyang Zhang +6

All-in-one image restoration aims to handle diverse degradations within a unified framework. Existing methods commonly encode heterogeneous degradation conditions in a shared laten…

cs.CV2026

One Model, Two Minds: Task-Conditioned Reasoning for Unified Image Quality and Aesthetic Assessment

Wen Yin, Cencen Liu, Dingrui Liu +3

Unifying Image Quality Assessment (IQA) and Image Aesthetic Assessment (IAA) in a single multimodal large language model is appealing, yet existing methods adopt a task-agnostic re…

cs.CV2026

Unbiased Dynamic Multimodal Fusion

Shicai Wei, Kaijie Zhang, Luyi Chen +2

Traditional multimodal methods often assume static modality quality, which limits their adaptability in dynamic real-world scenarios. Thus, dynamical multimodal methods are propose…

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