Search Results for author:
Found 6 papers, 1 papers with code
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledge
Teeth localization, segmentation, and labeling in 2D images have great potential in modern dentistry to enhance dental diagnostics, treatment planning, and population-based studies on oral health.
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
LLaMA-Excitor ensures a self-adaptive allocation of additional attention to input instructions, thus effectively preserving LLMs' pre-trained knowledge when fine-tuning LLMs on low-quality instruction-following datasets.
VideoDistill: Language-aware Vision Distillation for Video Question Answering
In this paper, we are inspired by the human recognition and learning pattern and propose VideoDistill, a framework with language-aware (i. e., goal-driven) behavior in both vision perception and answer generation process.
Building an Invisible Shield for Your Portrait against Deepfakes
Unlike authentic images, where the hidden messages can be extracted with precision, manipulating the facial attributes through deepfake techniques can disrupt the decoding process.
Delving into Sequential Patches for Deepfake Detection
Recent advances in face forgery techniques produce nearly visually untraceable deepfake videos, which could be leveraged with malicious intentions.
CORE: Consistent Representation Learning for Face Forgery Detection
Specifically, we first capture the different representations with different augmentations, then regularize the cosine distance of the representations to enhance the consistency.
