14 citations · 15 across the 5 of their papers we have counts for
7 papers
SpermYOLO: A Coordinated YOLO-Based Detector for Accurate and Efficient Sperm and Impurity Detection in Microscopic Images
Shengqi Chen, Zilin Wang, Xingyu Pan +3
Accurate sperm detection is essential for computer-assisted semen analysis, yet it remains challenging in microscopic images due to dense distributions, visually similar artifacts,…
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond
Xin Qiao, Matteo Poggi, Xing Wei +3
Under-display ToF imaging aims to achieve accurate depth sensing through a ToF camera placed beneath a screen panel. However, transparent OLED (TOLED) layers introduce severe degra…
Enhancing Video Object Segmentation in TrackRAD Using XMem Memory Network
Pengchao Deng, Shengqi Chen
This paper presents an advanced tumor segmentation framework for real-time MRI-guided radiotherapy, designed for the TrackRAD2025 challenge. Our method leverages the XMem model, a…
MS-YOLO: A Multi-Scale Model for Accurate and Efficient Blood Cell Detection
Guohua Wu, Shengqi Chen, Pengchao Deng +1
Complete blood cell detection holds significant value in clinical diagnostics. Conventional manual microscopy methods suffer from time inefficiency and diagnostic inaccuracies. Exi…
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
Jian Liu, Wei Sun, Hui Yang +5
Nine-degrees-of-freedom (9-DoF) object pose and size estimation is crucial for enabling augmented reality and robotic manipulation. Category-level methods have received extensive r…
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods
Xin Qiao, Matteo Poggi, Pengchao Deng +3
Integrating an RGB camera into a ToF imaging system has become a significant technique for perceiving the real world. The RGB guided ToF imaging system is crucial to several applic…
Rethinking Blur Synthesis for Deep Real-World Image Deblurring
Hao Wei, Chenyang Ge, Xin Qiao +1
In this paper, we examine the problem of real-world image deblurring and take into account two key factors for improving the performance of the deep image deblurring model, namely,…