Search Results for author: Xuan Zhao

Found 15 papers, 3 papers with code

FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras

no code implementations ECCV 2020 Yicheng Wu, Vivek Boominathan, Xuan Zhao, Jacob T. Robinson, Hiroshi Kawasaki, Aswin Sankaranarayanan, Ashok Veeraraghavan

The projected pattern can be observed in part or full by any camera, to reconstruct both the 3D map of the scene and the camera pose in the projector coordinates.

3D Reconstruction

Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space

no code implementations25 Jul 2023 Xuan Zhao, Klaus Broelemann, Gjergji Kasneci

In this paper, we introduce a new method to generate CEs for a pre-trained binary classifier by first shaping the latent space of an autoencoder to be a mixture of Gaussian distributions.

Counterfactual Explanation

High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model

no code implementations2 May 2023 Xuan Zhao, Benjamin Hou

We utilize annotation information from the LUNA16 dataset to create paired CT images and masks, and assess the quality of the generated images using the Frechet Inception Distance (FID), as well as on two common clinical downstream tasks: nodule detection and nodule localization.

Image Generation

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

no code implementations5 May 2022 Yuxin Kang, Hansheng Li, Xuan Zhao, Dongqing Hu, Feihong Liu, Lei Cui, Jun Feng, Lin Yang

In this paper, we propose a method, named Invariant Content Synergistic Learning (ICSL), to improve the generalization ability of DCNNs on unseen datasets by controlling the inductive bias.

Domain Generalization Image Segmentation +3

Homogeneous Low-Resolution Face Recognition Method based Correlation Features

no code implementations25 Nov 2021 Xuan Zhao

Face recognition technology has been widely adopted in many mission-critical scenarios like means of human identification, controlled admission, and mobile device access, etc.

Face Recognition

Reinforcement Learning Agent Training with Goals for Real World Tasks

no code implementations21 Jul 2021 Xuan Zhao, Marcos Campos

Reinforcement Learning (RL) is a promising approach for solving various control, optimization, and sequential decision making tasks.

Decision Making reinforcement-learning +1

PROPS: Probabilistic personalization of black-box sequence models

1 code implementation5 Mar 2019 Michael Thomas Wojnowicz, Xuan Zhao

In particular, we construct a baseline language model by training a LSTM on the entire Wikipedia corpus of 2. 5 million articles (around 6. 6 billion words), and then use PROPS to provide lightweight customization into a personalized language model of President Donald J. Trump's tweeting.

Language Modelling Transfer Learning

Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

no code implementations3 Jan 2019 Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff

However, the recent development of randomized principal component analysis (RPCA) has opened up the possibility of obtaining approximate principal components on very large datasets.

Dimensionality Reduction General Classification +1

Robust Shape Estimation for 3D Deformable Object Manipulation

1 code implementation26 Sep 2018 Tao Han, Xuan Zhao, Peigen Sun, Jia Pan

Existing shape estimation methods for deformable object manipulation suffer from the drawbacks of being off-line, model dependent, noise-sensitive or occlusion-sensitive, and thus are not appropriate for manipulation tasks requiring high precision.


On the Information Theoretic Distance Measures and Bidirectional Helmholtz Machines

no code implementations16 Jul 2018 Mahdi Azarafrooz, Xuan Zhao, Sepehr Akhavan-Masouleh

By establishing a connection between bi-directional Helmholtz machines and information theory, we propose a generalized Helmholtz machine.

Lazy stochastic principal component analysis

1 code implementation21 Sep 2017 Michael Wojnowicz, Dinh Nguyen, Li Li, Xuan Zhao

Stochastic principal component analysis (SPCA) has become a popular dimensionality reduction strategy for large, high-dimensional datasets.

Dimensionality Reduction

Generalized Convolutional Neural Networks for Point Cloud Data

no code implementations20 Jul 2017 Aleksandr Savchenkov, Andrew Davis, Xuan Zhao

The introduction of cheap RGB-D cameras, stereo cameras, and LIDAR devices has given the computer vision community 3D information that conventional RGB cameras cannot provide.

Feature Engineering

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