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PaperWorker's Projects

briefnet icon briefnet

Code for MICCAI 2017 paper on binary sparse convolutions for semantic segmentation of medical images

cancer-cell-tracking icon cancer-cell-tracking

This project focuses on tracking cancer cell based on Fuhua et al. [1], which used watershed algorithm to segment cells and built a feature vector for cell tracking including the information of position, shape, spatial distribution and texture.

centrist icon centrist

Detecção de formas humanas em cenas aéreas de desastres

cf2 icon cf2

Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)

cftrackers icon cftrackers

(2019)Visual object tracking based on correlation filtering

chainercv icon chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

cnn-all icon cnn-all

Source code for the 2021 ICASSP paper "Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning"

cnn-based-real-time-handwritten-digit-rcognition icon cnn-based-real-time-handwritten-digit-rcognition

The objective of this project is to recognize handwritten digits based on real time image acquisition from a camera. Currently, several algorithms are suitable for this classification task, such as Bag of Words approach, Decision Trees or Artificial Neural Networks (ANN). However, the most powerful image recognition tools are based on Convolutional Neural Network (CNN), which is going to be the approach chosen for this project. For training and testing MNIST dataset was used. The final net achieved a 98.54% train accuracy and 98.40% test accuracy. For real time segmentation, blob analysis was carried out, and for digit preprocessing, resize and Gauss filter were used to adequate each detected digit to CNN input. The final model was tested in a 1280x720 Webcam with sample time of 1 sec.

collectiveness icon collectiveness

The source codes in the CVPR2013 Paper: Measuring Crowd Collectiveness

condensenetv2 icon condensenetv2

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

convsparsecoding icon convsparsecoding

Code accompanying the paper M. Sorel, F. Sroubek, "Fast convolutional sparse coding using matrix inversion lemma", Digital Signal Processing, vol. 55, pp.44-51, 2016

cs231n-2017 icon cs231n-2017

Completed the CS231n 2017 spring assignments from Stanford university

csi-monitor icon csi-monitor

GUI Tool for monitor, in real-time, the CSI measures from off-the-shelf Commercial Atheros WiFi NIC

csi-net icon csi-net

pytorch code of CSI-Net, including data and pre-trained models

csigan icon csigan

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

csikit icon csikit

Python CSI processing and visualisation tools for Atheros, Intel, Nexmon, ESP32, and PicoScenes (USRP, etc) formats.

cvmhat icon cvmhat

CVMHAT: Multiple Human Association and Tracking from Egocentric and Complementary Top Views, to appear in IEEE TPAMI.

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