Search Results for author: Yun Jiang

Found 9 papers, 2 papers with code

Adversarial AutoMixup

2 code implementations19 Dec 2023 Huafeng Qin, Xin Jin, Yun Jiang, Mounim A. El-Yacoubi, Xinbo Gao

In this paper, we propose AdAutomixup, an adversarial automatic mixup augmentation approach that generates challenging samples to train a robust classifier for image classification, by alternatively optimizing the classifier and the mixup sample generator.

Classification Image Classification

The SMEFTsim package, theory and tools

2 code implementations19 Sep 2017 Ilaria Brivio, Yun Jiang, Michael Trott

We report codes for the Standard Model Effective Field Theory (SMEFT) in FeynRules -- the SMEFTsim package.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Retinal Vessel Segmentation Based on Conditional Deep Convolutional Generative Adversarial Networks

no code implementations11 May 2018 Yun Jiang, Ning Tan

However, existing methods have various problems in the segmentation of the retinal vessels, such as insufficient segmentation of retinal vessels, weak anti-noise interference ability, and sensitivity to lesions, etc.

Retinal Vessel Segmentation Segmentation

Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

no code implementations23 Oct 2017 Bo Zhao, Justin P. Haldar, Congyu Liao, Dan Ma, Yun Jiang, Mark A. Griswold, Kawin Setsompop, Lawrence L. Wald

Magnetic resonance (MR) fingerprinting is a new quantitative imaging paradigm, which simultaneously acquires multiple MR tissue parameter maps in a single experiment.

Signal Processing

Hallucinated Humans as the Hidden Context for Labeling 3D Scenes

no code implementations CVPR 2013 Yun Jiang, Hema Koppula, Ashutosh Saxena

Given only a dataset of scenes containing objects but not humans, we show that our algorithm can recover the human object relationships.

Attribute Object +1

Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network

no code implementations11 Apr 2019 Yun Jiang, Ning Tan, Tingting Peng, Hai Zhang

In the proposed D-Net, the dilation convolution is used in the backbone network to obtain a larger receptive field without losing spatial resolution, so as to reduce the loss of feature information and to reduce the difficulty of tiny thin vessels segmentation.

Specificity

Game of Learning Bloch Equation Simulations for MR Fingerprinting

no code implementations5 Apr 2020 Mingrui Yang, Yun Jiang, Dan Ma, Bhairav B. Mehta, Mark A. Griswold

The in vivo T1, T2 maps generated from the GAN-MRF fingerprints are in good agreement with those generated from the Bloch simulated fingerprints, showing good performance and robustness of the proposed GAN-MRF model.

Dark Matter and Nature of Electroweak Phase Transition with an Inert Doublet

no code implementations23 Dec 2020 Sven Fabian, Florian Goertz, Yun Jiang

We provide a comprehensive and up-to-date analysis of the prospects to realize Dark Matter (DM) in the Inert Doublet Model, while simultaneously enhancing the Electroweak Phase Transition (EWPhT) such as to allow for electroweak baryogenesis.

High Energy Physics - Phenomenology High Energy Physics - Experiment

PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions

no code implementations Findings of the Association for Computational Linguistics 2020 Jiazhao Li, Corey Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran

We propose a novel machine translation-based approach, PharmMT, to automatically and reliably simplify prescription directions into patient-friendly language, thereby significantly reducing pharmacist workload.

Machine Translation Translation

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