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Xiaobo Xia

16 papers hereh-index 6127 citations16 works total

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

author position
  • middle author15

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.CL2
  • cs.LG2
  • cs.AI1
same name
  • Xiaobo Xia — 34 papers, h 23
  • Xiaobo Xia — 14 papers, h 7
  • Xiaobo Xia — 5 papers, h 3
  • Xiaobo Xia — 3 papers, h 1
  • Xiaobo Xia — 1 paper
  • Xiaobo Xia — 1 paper, h 4

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 2026Show all

4 papers · 1 filter

cs.CV2026

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization

Wenhao Yang, Yu Xia, Jinlong Huang +10

Recent advancements in Multimodal Large Language Models (MLLMs) have incentivized models to ``think with images'' by actively invoking visual tools during multi-turn reasoning. The…

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.LG2026

Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models

Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai +8

Due to constraints on privacy, cost, and latency, on-premise deployment of small models is increasingly common. However, most practical pipelines stop at supervised fine-tuning (SF…

cs.CV2026

Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models

Enyi Shi, Pengyang Shao, Yanxin Zhang +5

The robust safety of Vision-Language Large Models (VLLMs) against joint multilingual and multimodal threats remains severely underexplored. Current benchmarks typically isolate the…

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