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PaperWorker's Projects

resnet-matconvnet icon resnet-matconvnet

Train Deep Residual Network from Scratch or or Fine-tune Pre-trained Model using Matconvnet

respmon icon respmon

Video/Webcam-Based Respiratory Monitoring

rfm icon rfm

[TIFS 2019] Skeleton-based Gait Recognition via Robust Frame-level Matching (RFM)

rgbd_particle_filter_tracker icon rgbd_particle_filter_tracker

Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Multiple Object Tracking under Occlusion

rhoana icon rhoana

Rhoana - Dense Automated Neuron Annotation pipeline

rpt icon rpt

a tracker based on reliable patches

rustdesk icon rustdesk

An open source remote desktop client software

salic icon salic

Website with the description of SALIC and data to run this code

salientclosedboundarytracking icon salientclosedboundarytracking

This code is implemeted for the papper "Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual Grouping, Xuebin Qin, Shida He, Camilo Perez Quintero, Abhineet Singh and Martin Jagersand." which is submited to IROS 2017.

samf_at-matlab icon samf_at-matlab

This is an implement of Target Response Adaptation for Correlation Filter Tracking in 2016 ECCV.

samples-for-ai icon samples-for-ai

Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.

scalesskcf icon scalesskcf

This MATLAB code implements the proposed method (ScaleSSKCF)in the paper: Part-based Visual Tracking via Structural Support Correlation Filter, which has been published by JVCIR recently.

scenecut icon scenecut

Joint Geometric and Object Segmentation for Indoor Scenes

segmodel icon segmodel

A light-weight deep learning library based on Caffe

sgn-41007 icon sgn-41007

Supplementary materials for course "Pattern Recognition and Machine Learning" at

shake-udp-live icon shake-udp-live

Low-requirement jupyter notebooks designed to read and plot RaspberryShake UDP packets in real time

siamese-fc icon siamese-fc

State-of-the-art performance in arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

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