1 citations · 1 across the 5 of their papers we have counts for
5 papers
Allocate Before You Embed: Adaptive Visual Input Allocation for Video Embeddings
Song Jin, Zhongtao Jiang, Chenglei Shen +5
Large-scale video retrieval requires embedding models to encode long and diverse videos under tight visual-input and inference budgets. Existing methods typically sample a small, f…
Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models
Jiazheng Xing, Hangjie Yuan, Lingling Cai +9
Connector-based video unified models have demonstrated strong capability in instruction-grounded video synthesis, but integrating a large high-fidelity generator into the unified t…
JAVEDIT: Joint Audio-Visual Instruction-Guided Video Editing with Agentic Data Curation
Yinan Chen, Chuming Lin, Zhennan Chen +12
While instruction-based video editing has seen significant progress, joint audio-visual editing remains constrained by the absence of dedicated datasets and benchmarks. To bridge t…
TagPR: Tag-Guided Process Supervision for Personalization Reasoning in Large Language Models
Song Jin, Juntian Zhang, Ruyu Lyu +7
Recent advancements have endowed Large Language Models with impressive general reasoning capabilities. However, these reasoning models often perform worse than non-reasoning models…
SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation
Shenggan Cheng, Yuanxin Wei, Lansong Diao +8
Leveraging the diffusion transformer (DiT) architecture, models like Sora, CogVideoX and Wan have achieved remarkable progress in text-to-video, image-to-video, and video editing t…