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Haodong Li

13 papers hereh-index 8303 citations18 works total

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

author position
  • first author6
  • middle author6

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • eess.IV1
same name
  • Haodong Li — 14 papers, h 3
  • Haodong Li — 9 papers, h 18
  • Haodong Li — 6 papers, h 2
  • Haodong Li — 4 papers, h 3
  • Haodong Li — 4 papers, h 3
  • Haodong Li — 3 papers, h 2

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 citedLotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

2 citations · 3 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation

Jing He, Haodong Li, Yongzhe Hu +4

In the realm of image generation, creating customized images from visual prompt with additional textual instruction emerges as a promising endeavor. However, existing methods, both…

cs.CV2024★ 1 cited

DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Songen Gu, Wei Yin, Bu Jin +5

We propose DOME, a diffusion-based world model that predicts future occupancy frames based on past occupancy observations. The ability of this world model to capture the evolution…

cs.CV2024

Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement

Haodong Li, Hao Lu, Ying-Cong Chen

Remote photoplethysmography (rPPG) is gaining prominence for its non-invasive approach to monitoring physiological signals using only cameras. Despite its promise, the adaptability…

cs.CV2024★ 2 cited

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Jing He, Haodong Li, Wei Yin +6

Leveraging the visual priors of pre-trained text-to-image diffusion models offers a promising solution to enhance zero-shot generalization in dense prediction tasks. However, exist…

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