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Jian Yao

5 papers hereh-index 330 citations6 works total

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO1
same name
  • Jian Yao — 14 papers, h 32
  • Jian Yao — 6 papers, h 3
  • Jian Yao — 5 papers, h 13
  • Jian Yao — 4 papers, h 3
  • Jian Yao — 4 papers, h 3
  • Jian Yao — 2 papers, h 1

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
20222026
most citedSelf-supervised Amodal Video Object Segmentation

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Beyond Attention Imbalance: Mitigating Hallucinations via Spectral Surgery

Siqi Lu, Suo Wei, Yongbin Zheng +3

While Large Vision-Language Models (LVLMs) achieve remarkable success, hallucinations remain a significant barrier to their reliable deployment. Recent studies primarily attribute…

cs.CV2026

Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding Models

Siqi Lu, Wanying Xu, Yongbin Zheng +3

Missing modalities present a fundamental challenge in multimodal models, often causing catastrophic performance degradation. Our observations suggest that this fragility stems from…

cs.CV2025

VK-Det: Visual Knowledge Guided Prototype Learning for Open-Vocabulary Aerial Object Detection

Jianhang Yao, Yongbin Zheng, Siqi Lu +2

To identify objects beyond predefined categories, open-vocabulary aerial object detection (OVAD) leverages the zero-shot capabilities of visual-language models (VLMs) to generalize…

cs.CV2022★ 4 cited

Self-supervised Amodal Video Object Segmentation

Jian Yao, Yuxin Hong, Chiyu Wang +6

Amodal perception requires inferring the full shape of an object that is partially occluded. This task is particularly challenging on two levels: (1) it requires more information t…

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