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Hao Li

7 papers hereh-index 4539 citations7 works total

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

author position
  • first author1
  • middle author5

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV7
same name
  • Hao Li — 96 papers, h 61
  • Hao Li — 95 papers, h 89
  • Hao Li — 50 papers, h 37
  • Hao Li — 30 papers, h 10
  • Hao Li — 25 papers, h 10
  • Hao Li — 20 papers, h 10

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 citedLLaVA-CoT: Let Vision Language Models Reason Step-by-Step

4 citations · 5 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Hierarchical Banzhaf Interaction for General Video-Language Representation Learning

Peng Jin, Hao Li, Li Yuan +2

Multimodal representation learning, with contrastive learning, plays an important role in the artificial intelligence domain. As an important subfield, video-language representatio…

cs.CV2024★ 4 cited

LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Guowei Xu, Peng Jin, Ziang Wu +4

Large language models have demonstrated substantial advancements in reasoning capabilities. However, current Vision-Language Models (VLMs) often struggle to perform systematic and…

cs.CV2024

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation

Peng Jin, Hao Li, Zesen Cheng +6

Text-to-motion generation requires not only grounding local actions in language but also seamlessly blending these individual actions to synthesize diverse and realistic global mot…

cs.CV2024

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation

Zesen Cheng, Kehan Li, Hao Li +5

Temporally locating objects with arbitrary class texts is the primary pursuit of open-vocabulary Video Instance Segmentation (VIS). Because of the insufficient vocabulary of video…

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