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Sibei Yang

19 papers hereh-index 8130 citations21 works total

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

author position
  • middle author5
  • last author14

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.CL1
  • cs.CR1
same name
  • Sibei Yang — 30 papers, h 18
  • Sibei Yang — 23 papers, h 30
  • Sibei Yang — 8 papers, h 8
  • Sibei Yang — 6 papers, h 2
  • Sibei Yang — 5 papers, h 5
  • Sibei Yang — 3 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
20242026
most citedThe devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

1 citations · 1 across the 14 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

Self-Prophetic Decoding to Unlock Visual Search in LVLMs

Zhendong He, Qiyuan Dai, Guanbin Li +2

Large Vision-Language Models (LVLMs) are rapidly evolving toward true multimodal reasoning, with visual search representing a concrete instantiation of the thinking-with-images par…

cs.CV2026

Chart Deep Research in LVLMs via Parallel Relative Policy Optimization

Jiajin Tang, Gaoyang, Wenjie Wang +2

With the rapid advancement of data science, charts have evolved from simple numerical presentation tools to essential instruments for insight discovery and decision-making support.…

cs.CV2026

WeaveTime: Stream from Earlier Frames into Emergent Memory in VideoLLMs

Yulin Zhang, Cheng Shi, Sibei Yang

Recent advances in Multimodal Large Language Models have greatly improved visual understanding and reasoning, yet their quadratic attention and offline training protocols make them…

cs.CV2026

Vision Transformers Need More Than Registers

Cheng Shi, Yizhou Yu, Sibei Yang

Vision Transformers (ViTs), when pre-trained on large-scale data, provide general-purpose representations for diverse downstream tasks. However, artifacts in ViTs are widely observ…

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