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Li Zhang

12 papers hereh-index 8341 citations14 works total

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

author position
  • middle author2
  • last author10

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

fields
  • cs.CV10
  • cs.AI1
  • eess.IV1
same name
  • Li Zhang — 41 papers, h 10
  • Li Zhang — 37 papers, h 42
  • Li Zhang — 36 papers, h 22
  • Li Zhang — 24 papers, h 13
  • Li Zhang — 22 papers, h 6
  • Li Zhang — 20 papers, h 20

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 citedFrom Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs

3 citations · 5 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

KFFocus: Highlighting Keyframes for Enhanced Video Understanding

Ming Nie, Chunwei Wang, Hang Xu +1

Recently, with the emergence of large language models, multimodal LLMs have demonstrated exceptional capabilities in image and video modalities. Despite advancements in video compr…

cs.CV2025

From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D

Jiahui Zhang, Yurui Chen, Yanpeng Zhou +10

Recent advances in LVLMs have improved vision-language understanding, but they still struggle with spatial perception, limiting their ability to reason about complex 3D scenes. Unl…

eess.IV2025

FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise

Yunlong Yuan, Yuanfan Guo, Chunwei Wang +3

Text-driven video generation has advanced significantly due to developments in diffusion models. Beyond the training and sampling phases, recent studies have investigated noise pri…

cs.CV2025

Brick-Diffusion: Generating Long Videos with Brick-to-Wall Denoising

Yunlong Yuan, Yuanfan Guo, Chunwei Wang +2

Recent advances in diffusion models have greatly improved text-driven video generation. However, training models for long video generation demands significant computational power a…

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