95 citations · 201 across the 23 of their papers we have counts for
23 papers
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation
Chaoyu Chen, Xin Yang, Rusi Chen +7
Ultrasound (US) image segmentation is an active research area that requires real-time and highly accurate analysis in many scenarios. The detect-to-segment (DTS) frameworks have be…
Image Harmonization with Diffusion Model
Jiajie Li, Jian Wang, Chen Wang +1
Image composition in image editing involves merging a foreground image with a background image to create a composite. Inconsistent lighting conditions between the foreground and ba…
School Bullying Results in Poor Psychological Conditions: Evidence from a Survey of 95,545 Subjects
Na Zhao, Shenglong Yang, Qiangjian Zhang +4
To investigate whether bullying and psychological conditions are correlated, this study analyzed a survey of primary and secondary school students from Zigong City, Sichuan Provinc…
Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
Yuhao Huang, Xin Yang, Xiaoqiong Huang +7
Deep classifiers may encounter significant performance degradation when processing unseen testing data from varying centers, vendors, and protocols. Ensuring the robustness of deep…
Learning to Recover Spectral Reflectance from RGB Images
Dong Huo, Jian Wang, Yiming Qian +1
This paper tackles spectral reflectance recovery (SRR) from RGB images. Since capturing ground-truth spectral reflectance and camera spectral sensitivity are challenging and costly…
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Justus Renkhoff, Wenkai Tan, Alvaro Velasquez +7
Deep Learning (DL) is being applied in various domains, especially in safety-critical applications such as autonomous driving. Consequently, it is of great significance to ensure t…
MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes
Jian Wang, Jiarui Xing, Jason Druzgal +2
This paper presents a novel predictive model, MetaMorph, for metamorphic registration of images with appearance changes (i.e., caused by brain tumors). In contrast to previous lear…
PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications
Shuaiyu Xie, Jian Wang, Bing Li +3
Autoscaling is critical for ensuring optimal performance and resource utilization in cloud applications with dynamic workloads. However, traditional autoscaling technologies are ty…
DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs
Zhixiang Wang, Yu-Lun Liu, Jia-Bin Huang +4
Close-up facial images captured at short distances often suffer from perspective distortion, resulting in exaggerated facial features and unnatural/unattractive appearances. We pro…
Privacy-Preserving Visual Localization with Event Cameras
Junho Kim, Young Min Kim, Ramzi Zahreddine +4
We consider the problem of client-server localization, where edge device users communicate visual data with the service provider for locating oneself against a pre-built 3D map. Th…
PP-Matting: High-Accuracy Natural Image Matting
Guowei Chen, Yi Liu, Jian Wang +11
Natural image matting is a fundamental and challenging computer vision task. It has many applications in image editing and composition. Recently, deep learning-based approaches hav…
Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration
Yuanfan Xu, Jincheng Yu, Jiahao Tang +5
Autonomous exploration and mapping of unknown terrains employing single or multiple robots is an essential task in mobile robotics and has therefore been widely investigated. Never…
Protect the Intellectual Property of Dataset against Unauthorized Use
Mingfu Xue, Yinghao Wu, Yushu Zhang +2
Training high performance Deep Neural Networks (DNNs) models require large-scale and high-quality datasets. The expensive cost of collecting and annotating large-scale datasets mak…
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
Yongxin Liu, Jian Wang, Jianqiang Li +2
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a variety of emerging services and applications. However, the presence of rogue IoT device…
Distant Domain Transfer Learning for Medical Imaging
Shuteng Niu, Meryl Liu, Yongxin Liu +2
Medical image processing is one of the most important topics in the field of the Internet of Medical Things (IoMT). Recently, deep learning methods have carried out state-of-the-ar…
3D Invisible Cloak
Mingfu Xue, Can He, Zhiyu Wu +3
In this paper, we propose a novel physical stealth attack against the person detectors in real world. The proposed method generates an adversarial patch, and prints it on real clot…
SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images
Mingfu Xue, Shichang Sun, Zhiyu Wu +3
The popularity of various social platforms has prompted more people to share their routine photos online. However, undesirable privacy leakages occur due to such online photo shari…
NaturalAE: Natural and Robust Physical Adversarial Examples for Object Detectors
Mingfu Xue, Chengxiang Yuan, Can He +2
In this paper, we propose a natural and robust physical adversarial example attack method targeting object detectors under real-world conditions. The generated adversarial examples…
NF-Crowd: Nearly-free Blockchain-based Crowdsourcing
Chao Li, Balaji Palanisamy, Runhua Xu +2
Advancements in distributed ledger technologies are rapidly driving the rise of decentralized crowdsourcing systems on top of open smart contract platforms like Ethereum. While dec…
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices
Yongxin Liu, Jian Wang, Jianqiang Li +4
The Internet of Things (IoT) provides applications and services that would otherwise not be possible. However, the open nature of IoT make it vulnerable to cybersecurity threats. E…
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
Wang Jian, Miao Juzheng, Yang Xin +9
Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wa…
Game Theoretic Approaches in Vehicular Networks: A Survey
Zemin Sun, Yanheng Liu, Jian Wang +2
In the era of the Internet of Things (IoT), vehicles and other intelligent components in Intelligent Transportation System (ITS) are connected, forming the Vehicular Networks (VNs)…
DeepFLASH: An Efficient Network for Learning-based Medical Image Registration
Jian Wang, Miaomiao Zhang
This paper presents DeepFLASH, a novel network with efficient training and inference for learning-based medical image registration. In contrast to existing approaches that learn sp…