activity
20222024
most citedDelving into Sequential Patches for Deepfake Detection

21 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

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…

cs.CV20241 cited

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…

cs.CV20241 cited

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…

cs.CV20234 cited

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…

cs.CV202221 cited

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…