most citedMore Is Better: A MoE-Based Emotion Recognition Framework with Human Preference Alignment

1 citations · 1 across the 8 of their papers we have counts for

collaborators

14 papers

cs.CV2026

SCOPE-Router: Cost-Aware Open-Set VLM Routing for Execution-Oriented Tasks

Tao Yu, Yifei Qu, Zhiqing Cui +14

Model routing aims to select the most suitable model from a candidate pool for each query, balancing quality and cost. Existing VLM routing research is limited to traditional VQA e…

cs.CV2026

When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection

Tao Yu, Yujia Yang, Shenghua Chai +17

Video misinformation increasingly operates at the semantic and evidential level: authentic footage may be selectively edited, temporally reordered, spliced across sources, or augme…

cs.CV2026

Omni IIE Bench: Benchmarking the Practical Capabilities of Image Editing Models

Yujia Yang, Yuanxiang Wang, Zhenyu Guan +11

While Instruction-based Image Editing (IIE) has achieved significant progress, existing benchmarks pursue task breadth via mixed evaluations. This paradigm obscures a critical fail…

cs.CV2026

Towards Principled Dataset Distillation: A Spectral Distribution Perspective

Ruixi Wu, Shaobo Wang, Jiahuan Chen +9

Dataset distillation (DD) aims to compress large-scale datasets into compact synthetic counterparts for efficient model training. However, existing DD methods exhibit substantial p…

cs.CV2026

ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search

Tao Yu, Haopeng Jin, Hao Wang +18

In recent years, large language models (LLMs) have made rapid progress in information retrieval, yet existing research has mainly focused on text or static multimodal settings. Ope…

cs.DL2026

PaperX: A Unified Framework for Multimodal Academic Presentation Generation with Scholar DAG

Tao Yu, Minghui Zhang, Zhiqing Cui +17

Transforming scientific papers into multimodal presentation content is essential for research dissemination but remains labor intensive. Existing automated solutions typically trea…