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Kai Liu

8 papers hereh-index 5126 citations9 works total

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

author position
  • first author3
  • middle author4
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.GR1
same name
  • Kai Liu — 82 papers, h 25
  • Kai Liu — 55 papers, h 45
  • Kai Liu — 27 papers, h 57
  • Kai Liu — 25 papers, h 20
  • Kai Liu — 23 papers, h 16
  • Kai Liu — 23 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
20242026
collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation

Huanyang Tong, Kai Liu, Fangjun Kuang +1

Biomedical Vision--Language Models (VLMs) have shown remarkable promise in few-shot medical diagnosis but face a critical bottleneck: \textit{fragility to prompt variations}.Existi…

cs.CV2026

JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation

Kai Liu, Yanhao Zheng, Kai Wang +7

AIGC has rapidly expanded from text-to-image generation toward high-quality multimodal synthesis across video and audio. Within this context, joint audio-video generation (JAVG) ha…

cs.CV2026

AUHead: Realistic Emotional Talking Head Generation via Action Units Control

Jiayi Lyu, Leigang Qu, Wenjing Zhang +6

Realistic talking-head video generation is critical for virtual avatars, film production, and interactive systems. Current methods struggle with nuanced emotional expressions due t…

cs.CV2026

JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation

Kai Liu, Jungang Li, Yuchong Sun +13

This paper presents JavisGPT, the first unified multimodal large language model (MLLM) for joint audio-video (JAV) comprehension and generation. JavisGPT has a concise encoder-LLM-…

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