activity
20202026
most citedTeam Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification

4 citations · 27 across the 34 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.IR2026

ProRetrieval: Learning to Orchestrate Hybrid Search via Executable Program Synthesis

Chengsong You, Zhen Sun, Yunhai Hu +17

Real-world retrieval often composes structured constraints with semantic intents over text and images through arbitrary Boolean logic. Existing hybrid pipelines such as reciprocal…

cs.IR2026

DocPC: Document-Level Visual Retrieval via Representative Page Composition

Chengsong You, Qiyi Jiang, Junwei Zhou +12

Visual document retrieval has advanced by encoding page screenshots with vision-language models, bypassing OCR pipelines. However, existing methods remain page-centric, misaligned…

cs.AI2026

Omni-Interactive Universal Embedder

Wei-Yao Wang, Kazuya Tateishi, Shuyang Cui +4

Multimodal representation learning has been shifting from traditional two-tower architectures to large language model (LLM)-based embedders due to their strong instruction-followin…

cs.CV2026

SF-Mamba: Rethinking State Space Model for Vision

Masakazu Yoshimura, Teruaki Hayashi, Yuki Hoshino +2

Visual Mamba models have recently emerged as alternatives to Vision Transformers (ViTs), which suffer from quadratic complexity. While the recurrent scanning mechanism of Mamba off…

cs.CV2026

Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models

Christian Simon, Masato Ishii, Wei-Yao Wang +8

Scaling multimodal alignment between video and audio is challenging, particularly due to limited data and the mismatch between text descriptions and frame-level video information.…