activity
20212023
most citedConterfactual Generative Zero-Shot Semantic Segmentation

7 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

YOLOrtho -- A Unified Framework for Teeth Enumeration and Dental Disease Detection

Shenxiao Mei, Chenglong Ma, Feihong Shen +1

Detecting dental diseases through panoramic X-rays images is a standard procedure for dentists. Normally, a dentist need to identify diseases and find the infected teeth. While num…

cs.CV2023★ 1 cited

Hierarchical Cross-modal Transformer for RGB-D Salient Object Detection

Hao Chen, Feihong Shen

Most of existing RGB-D salient object detection (SOD) methods follow the CNN-based paradigm, which is unable to model long-range dependencies across space and modalities due to the…

cs.CV2022★ 1 cited

OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization

Feihong Shen, JIngjing Liu, Jianwen Lou +6

Patients take care of what their teeth will be like after the orthodontics. Orthodontists usually describe the expectation movement based on the original smile images, which is unc…

quant-ph2021★ 4 cited

QFCNN: Quantum Fourier Convolutional Neural Network

Feihong Shen, Jun Liu

The neural network and quantum computing are both significant and appealing fields, with their interactive disciplines promising for large-scale computing tasks that are untackled…

cs.CV2021★ 7 cited

Conterfactual Generative Zero-Shot Semantic Segmentation

Feihong Shen, Jun Liu, Ping Hu

zero-shot learning is an essential part of computer vision. As a classical downstream task, zero-shot semantic segmentation has been studied because of its applicant value. One of…