4 citations · 4 across the 2 of their papers we have counts for
4 papers
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
You Huang, Zongyu Lan, Liujuan Cao +4
The Segment Anything Model (SAM) marks a notable milestone in segmentation models, highlighted by its robust zero-shot capabilities and ability to handle diverse prompts. SAM follo…
DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis
Zhongxi Chen, Ke Sun, Ziyin Zhou +4
The rapid progress in deep learning has given rise to hyper-realistic facial forgery methods, leading to concerns related to misinformation and security risks. Existing face forger…
Improving Human-Object Interaction Detection via Virtual Image Learning
Shuman Fang, Shuai Liu, Jie Li +3
Human-Object Interaction (HOI) detection aims to understand the interactions between humans and objects, which plays a curtail role in high-level semantic understanding tasks. Howe…
HODN: Disentangling Human-Object Feature for HOI Detection
Shuman Fang, Zhiwen Lin, Ke Yan +3
The task of Human-Object Interaction (HOI) detection is to detect humans and their interactions with surrounding objects, where transformer-based methods show dominant advances cur…