Search Results for author: Jia Guo

Found 41 papers, 16 papers with code

3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI

no code implementations16 Mar 2023 Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

Robust segmentation of infant brain MRI across multiple ages, modalities, and sites remains challenging due to the intrinsic heterogeneity caused by different MRI scanners, vendors, or acquisition sequences, as well as varying stages of neurodevelopment.

Domain Generalization Style Transfer

Multidimensional Graph Neural Networks for Wireless Communications

no code implementations22 Dec 2022 ShengJie Liu, Jia Guo, Chenyang Yang

Based on the observation that the mismatched permutation property from the policies and the information loss during the update of hidden representations have large impact on the learning performance and efficiency, in this paper we propose a unified framework to learn permutable wireless policies with multidimensional GNNs.

SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation

1 code implementation16 Dec 2022 Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li

To this end, we propose a sequence-aware diffusion model (SADM) for the generation of longitudinal medical images.

Image Generation Medical Image Generation

Weakly-Supervised Gaze Estimation from Synthetic Views

no code implementations6 Dec 2022 Evangelos Ververas, Polydefkis Gkagkos, Jiankang Deng, Jia Guo, Michail Christos Doukas, Stefanos Zafeiriou

3D gaze estimation is most often tackled as learning a direct mapping between input images and the gaze vector or its spherical coordinates.

Gaze Estimation Pose Estimation

A Model-based GNN for Learning Precoding

no code implementations1 Dec 2022 Jia Guo, Chenyang Yang

Simulation results show that the proposed GNN can well learn spectral efficient and energy efficient precoding policies in single- and multi-cell multi-user multi-antenna systems with low training complexity, and can be well generalized to the numbers of users.

Understanding the Performance of Learning Precoding Policy with GNN and CNNs

no code implementations27 Nov 2022 Baichuan Zhao, Jia Guo, Chenyang Yang

Learning-based precoding has been shown able to be implemented in real-time, jointly optimized with channel acquisition, and robust to imperfect channels.

Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks

no code implementations22 Nov 2022 Ramy Hussein, David Shin, Moss Zhao, Jia Guo, Guido Davidzon, Michael Moseley, Greg Zaharchuk

Such methods may enable more widespread and accurate CBF evaluation in larger cohorts who cannot undergo PET imaging due to radiation concerns, lack of access, or logistic challenges.


A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks

no code implementations24 Oct 2022 Jia Guo, Haifeng Wang, Chenping Hou

We point out that it is not sufficient to only consider the residual loss in adaptive sampling and sampling should obey temporal causality.

Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression

2 code implementations15 Aug 2022 Jia Guo, Jinke Yu, Alexandros Lattas, Jiankang Deng

Even though 3D face reconstruction has achieved impressive progress, most orthogonal projection-based face reconstruction methods can not achieve accurate and consistent reconstruction results when the face is very close to the camera due to the distortion under the perspective projection.

3D Face Reconstruction regression

Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning

no code implementations26 Jun 2022 Junhao Zhang, Vishwanatha M. Rao, Ye Tian, Yanting Yang, Nicolas Acosta, Zihan Wan, Pin-Yu Lee, Chloe Zhang, Lawrence S. Kegeles, Scott A. Small, Jia Guo

Our finding corroborates that schizophrenia is associated with widespread alterations in subcortical brain structure and the subcortical structural information provides prominent features in diagnostic classification.

WT-MVSNet: Window-based Transformers for Multi-view Stereo

no code implementations28 May 2022 Jinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren, Jia Guo, Wensen Feng, Kai Zhang

In this work, we propose Window-based Transformers (WT) for local feature matching and global feature aggregation in multi-view stereo.

Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC

2 code implementations28 Mar 2022 Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu

In each iteration, positive class centers and a random subset of negative class centers are selected to compute the margin-based softmax loss.

Face Recognition Face Verification

Koopman Methods for Estimation of Animal Motions over Unknown Submanifolds

no code implementations10 Mar 2022 Nathan Powell, Bowei Liu, Jia Guo, Sai Tej Parachuri, Andrew J. Kurdila

It is assumed that motions are supported on a low-dimensional, unknown configuration manifold $Q$ that is regularly embedded in high dimensional Euclidean space $X:=\mathbb{R}^d$.

Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation

no code implementations12 Feb 2022 Ramy Hussein, Moss Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido Davidzon, Michael Moseley, Greg Zaharchuk

Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of cerebrovascular diseases such as Moyamoya, carotid stenosis, aneurysms, and stroke.

Multi-Task Learning SSIM +1

Improving Across-Dataset Brain Tissue Segmentation Using Transformer

1 code implementation21 Jan 2022 Vishwanatha M. Rao, Zihan Wan, Soroush Arabshahi, David J. Ma, Pin-Yu Lee, Ye Tian, Xuzhe Zhang, Andrew F. Laine, Jia Guo

Transformers have demonstrated success in natural image segmentation and have recently been applied to 3D medical image segmentation tasks due to their ability to capture long-distance relationships in the input where the local receptive fields of CNNs struggle.

Image Segmentation Medical Image Segmentation +1

Killing Two Birds With One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC

no code implementations CVPR 2022 Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu

In each iteration, positive class centers and a random subset of negative class centers are selected to compute the margin-based softmax loss.

Face Recognition

BiQUE: Biquaternionic Embeddings of Knowledge Graphs

1 code implementation EMNLP 2021 Jia Guo, Stanley Kok

In contrast, hyperbolic models are effective at modeling hierarchical relations, but do not perform as well on patterns on which circular rotation excels.

Knowledge Graph Embeddings Knowledge Graphs +1

Reducing the Teacher-Student Gap via Adaptive Temperatures

no code implementations29 Sep 2021 Jia Guo

Based on this observation, we found that the sharpness gap between the teacher and student output may cause this degradation problem.

Knowledge Distillation

Masked Face Recognition Challenge: The InsightFace Track Report

1 code implementation18 Aug 2021 Jiankang Deng, Jia Guo, Xiang An, Zheng Zhu, Stefanos Zafeiriou

In this workshop, we organize Masked Face Recognition (MFR) challenge and focus on bench-marking deep face recognition methods under the existence of facial masks.

Face Recognition

Variational Prototype Learning for Deep Face Recognition

no code implementations CVPR 2021 Jiankang Deng, Jia Guo, Jing Yang, Alexandros Lattas, Stefanos Zafeiriou

Deep face recognition has achieved remarkable improvements due to the introduction of margin-based softmax loss, in which the prototype stored in the last linear layer represents the center of each class.

Face Recognition

Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans

1 code implementation14 Jun 2021 Xinzi He, Jia Guo, Xuzhe Zhang, Hanwen Bi, Sarah Gerard, David Kaczka, Amin Motahari, Eric Hoffman, Joseph Reinhardt, R. Graham Barr, Elsa Angelini, Andrew Laine

We introduce a recursive refinement network (RRN) for unsupervised medical image registration, to extract multi-scale features, construct normalized local cost correlation volume and recursively refine volumetric deformation vector fields.

Image Registration Medical Image Registration

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

1 code implementation28 May 2021 Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang

Magnetic resonance imaging (MRI) noninvasively provides critical information about how human brain structures develop across stages of life.

Sample and Computation Redistribution for Efficient Face Detection

3 code implementations ICLR 2022 Jia Guo, Jiankang Deng, Alexandros Lattas, Stefanos Zafeiriou

Although tremendous strides have been made in uncontrolled face detection, efficient face detection with a low computation cost as well as high precision remains an open challenge.

Face Detection

Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data

no code implementations10 Apr 2021 Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina Gjerswold-Selleck, Scott A. Small, Jia Guo

Here we propose a potential solution by first learning a structural-to-functional transformation in brain MRI, and further synthesizing spatially matched functional images from large-scale structural scans.

Strictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels

no code implementations23 Mar 2021 Jia Guo, Michael E. Kepler, Sai Tej Paruchuri, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell

Approximations of the evolution of the ideal local estimate $\hat{g}^i_t$ of agent $i$ is constructed solely using observations made by agent $i$ on a fine time scale.


Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network

no code implementations6 Nov 2020 Jia Guo, Chenyang Yang

In this paper, we show that the power control policy has a combination of different PI and PE properties, and existing HetGNN does not satisfy these properties.

Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation

1 code implementation15 Oct 2020 Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai

We investigate this problem by study the gap of confidence between teacher and student.

Knowledge Distillation

Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening

no code implementations22 Jul 2020 Sang Won Lee, Yueh-Ting Chiu, Philip Brudnicki, Audrey M. Bischoff, Angus Jelinek, Jenny Zijun Wang, Danielle R. Bogdanowicz, Andrew F. Laine, Jia Guo, Helen H. Lu

Recent advances in the interdisciplinary scientific field of machine perception, computer vision, and biomedical engineering underpin a collection of machine learning algorithms with a remarkable ability to decipher the contents of microscope and nanoscope images.

BIG-bench Machine Learning Instance Segmentation +1

Constructing Deep Neural Networks with a Priori Knowledge of Wireless Tasks

no code implementations29 Jan 2020 Jia Guo, Chenyang Yang

In this paper, we show that two kinds of permutation invariant properties widely existed in wireless tasks can be harnessed to reduce the number of model parameters and hence the sample and computational complexity for training.

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

1 code implementation15 Jan 2020 Nanyan Zhu, Chen Liu, Zakary S. Singer, Tal Danino, Andrew F. Laine, Jia Guo

The ability to extrapolate gene expression dynamics in living single cells requires robust cell segmentation, and one of the challenges is the amorphous or irregularly shaped cell boundaries.

Cell Segmentation Specificity

Automatic Analysis System of Calcaneus Radiograph: Rotation-Invariant Landmark Detection for Calcaneal Angle Measurement, Fracture Identification and Fracture Region Segmentation

no code implementations10 Dec 2019 Jia Guo, Yuxuan Mu, Dong Xue, Huiqi Li, Junxian Chen, Huanxin Yan, Hailin Xu, Wei Wang

This study aims to develop an analysis system that can automatically locate four anatomic landmarks, measure BA and CAG for fracture assessment, identify fractured calcaneus, and segment fractured regions.

Multi-Task Learning

Structure of Deep Neural Networks with a Priori Information in Wireless Tasks

no code implementations30 Oct 2019 Jia Guo, Chenyang Yang

Deep neural networks (DNNs) have been employed for designing wireless networks in many aspects, such as transceiver optimization, resource allocation, and information prediction.

Evolutionary Trigger Set Generation for DNN Black-Box Watermarking

1 code implementation11 Jun 2019 Jia Guo, Miodrag Potkonjak

The commercialization of deep learning creates a compelling need for intellectual property (IP) protection.

Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate

no code implementations1 Aug 2018 Sheng Chen, Jia Guo, Yang Liu, Xiang Gao, Zhen Han

In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block, which reweights local features in a convolutional neural network (CNN) adaptively according to their L2 norms and outputs a global feature vector with a global average pooling layer.

Face Recognition Robust Face Recognition

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

89 code implementations CVPR 2019 Jiankang Deng, Jia Guo, Jing Yang, Niannan Xue, Irene Kotsia, Stefanos Zafeiriou

Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability.

Face Generation Face Identification +2

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