21 citations · 27 across the 6 of their papers we have counts for
6 papers
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledge
Bo Zou, Shaofeng Wang, Hao Liu +5
Teeth localization, segmentation, and labeling in 2D images have great potential in modern dentistry to enhance dental diagnostics, treatment planning, and population-based studies…
VideoDistill: Language-aware Vision Distillation for Video Question Answering
Bo Zou, Chao Yang, Yu Qiao +2
Significant advancements in video question answering (VideoQA) have been made thanks to thriving large image-language pretraining frameworks. Although these image-language models c…
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
Bo Zou, Chao Yang, Yu Qiao +2
Existing methods to fine-tune LLMs, like Adapter, Prefix-tuning, and LoRA, which introduce extra modules or additional input sequences to inject new skills or knowledge, may compro…
Building an Invisible Shield for Your Portrait against Deepfakes
Jiazhi Guan, Tianshu Hu, Hang Zhou +5
The issue of detecting deepfakes has garnered significant attention in the research community, with the goal of identifying facial manipulations for abuse prevention. Although rece…
Delving into Sequential Patches for Deepfake Detection
Jiazhi Guan, Hang Zhou, Zhibin Hong +4
Recent advances in face forgery techniques produce nearly visually untraceable deepfake videos, which could be leveraged with malicious intentions. As a result, researchers have be…
CORE: Consistent Representation Learning for Face Forgery Detection
Yunsheng Ni, Depu Meng, Changqian Yu +3
Face manipulation techniques develop rapidly and arouse widespread public concerns. Despite that vanilla convolutional neural networks achieve acceptable performance, they suffer f…