collaborators

11 papers

cs.CV2026

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents

Yunlong Lin, Zixu Lin, Zhaohu Xing +23

Creative AI is moving from single-step asset generation toward long-horizon multimodal production. Although recent generative models can synthesize high-quality images, videos, aud…

cs.CV2026

VideoSearcher: Empowering Video Deep Research with Multi-Tool Agentic Reasoning via Reinforcement Learning

Zhenkun Gao, Yicheng Bao, Jinlong Peng +13

Video understanding is moving beyond closed-context perception toward open-world evidence exploration, a paradigm formalized as Video Deep Research (VDR). However, existing multimo…

eess.IV2026

Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing

Xiang Li, Xueheng Li, Yu Wang +4

Reinforcement Learning (RL) has empowered Multimodal Large Language Models (MLLMs) to achieve superior human preference alignment in Image Quality Assessment (IQA). However, existi…

cs.CV2026

Multigrain-aware Semantic Prototype Scanning and Tri-Token Prompt Learning Embraced High-Order RWKV for Pan-Sharpening

Junfeng Li, Wenyang Zhou, Xueheng Li +3

In this work, we propose a Multigrain-aware Semantic Prototype Scanning paradigm for pan-sharpening, built upon a high-order RWKV architecture and a tri-token prompting mechanism d…

cs.CV2026

Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion

Ke Cao, Xuanhua He, Tao Hu +3

Multi-modal image fusion integrates complementary information from different modalities to produce enhanced and informative images. Although State-Space Models, such as Mamba, are…

cs.CV2026

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

Ke Cao, Jing Wang, Ao Ma +11

The Diffusion Transformer plays a pivotal role in advancing text-to-image and text-to-video generation, owing primarily to its inherent scalability. However, existing controlled di…