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Yunong Liu

3 accepted papers

2026

CaptionQA: Is Your Caption as Useful as the Image Itself?

CVPR 2026

Image captions serve as efficient surrogates for visual content in multimodal systems such as retrieval, recommendation, multi-step agentic inference pipelines. Yet current evaluation practices miss a fundamental question: Can captions stand-in for images in real downstream tasks? We propose a utili

Cited by 0SourcecodeScholar
2025

Taming generative video models for zero-shot optical flow extraction

NeurIPS 2025poster

Extracting optical flow from videos remains a core computer vision problem. Motivated by the recent success of large general-purpose models, we ask whether frozen self-supervised video models trained only to predict future frames can be prompted, without fine-tuning, to output flow. Prior attempts t…

Cited by 0SourceScholar
2024

IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos

NeurIPS 2024poster

Shape assembly is a ubiquitous task in daily life, integral for constructing complex 3D structures like IKEA furniture. While significant progress has been made in developing autonomous agents for shape assembly, existing datasets have not yet tackled the 4D grounding of assembly instructions in vid…