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cs.CV2024
Agent-based Video Trimming
Lingfeng Yang, Zhenyuan Chen, Xiang Li +3
As information becomes more accessible, user-generated videos are increasing in length, placing a burden on viewers to sift through vast content for valuable insights. This trend u…
cs.CV2024
Revisiting Prompt Pretraining of Vision-Language Models
Zhenyuan Chen, Lingfeng Yang, Shuo Chen +3
Prompt learning is an effective method to customize Vision-Language Models (VLMs) for various downstream tasks, involving tuning very few parameters of input prompt tokens. Recentl…
cs.CV2024
Add-SD: Rational Generation without Manual Reference
Lingfeng Yang, Xinyu Zhang, Xiang Li +7
Diffusion models have exhibited remarkable prowess in visual generalization. Building on this success, we introduce an instruction-based object addition pipeline, named Add-SD, whi…