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Xingbo Dong's Projects

iterativecnn icon iterativecnn

Implementation code for "Iterative PET Image Reconstruction Using Convolutional Neural Network Representation"

latent-to-latent icon latent-to-latent

Unofficial PyTorch implementation of "Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-generated Images"

mcc-cuda icon mcc-cuda

Implementation of Minutia Cylinder-Code with CUDA for Fingeprint Matching

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

monash-thesis-template-latex icon monash-thesis-template-latex

A thesis latex template for Monash University. It can be used directly on overleaf. It is modified from University of Melbourne's template, and satisfy the requirement of Monash University.

mpi-afis icon mpi-afis

Parallel framework for fingerprint identification.

msu-latentafis icon msu-latentafis

A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.

mtcnn icon mtcnn

MTCNN face detection implementation for TensorFlow, as a PIP package.

nbis icon nbis

NIST Biometric Image Software (mirror)

opencv-demo icon opencv-demo

This project contain some OpenCV demo that we use frequently.

osdn icon osdn

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

palmnet_angelo icon palmnet_angelo

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

palmseg icon palmseg

Source code for palmprint segmentation and ROI extraction used in the IEEE TIFS 2019 and IEEE CIVEMSA 2019 papers

pet-reconstruction icon pet-reconstruction

Official PyTorch implementation of "Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction" (MICCAI 2023)

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