Yuriscu

Pinned Repositories

Abandoned-Object-Detection
Detects abandoned objects in a video, particularly useful for identifying suspicious abandoned luggage in railway stations and bus stands.
Language:MATLAB00
ABODA
Abandoned Object Dataset
00
AGS
(CVPR19) Learning Unsupervised Video Object Segmentation through Visual Attention
Language:Python00
AODnet-by-pytorch
Image Dehaze, Pytorch, An All-in-One Network for Dehazing, AOD-Net
Language:Python00
attentive-gan-derainnet
Tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/
Language:Python00
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
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Big-Data-Analysis-Video-Surveillance
Big Data Analysis Project: Detection of suspicious activities through video surveillance
Language:MATLAB00
centerNet-deep-sort
Real-time multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)
Language:Python00
chainer-sort
Simple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.
Language:Python00
city-scapes-script
Download City Scapes Dataset using script. This makes it easier when deploying on server.
Language:Shell00

Yuriscu's Repositories

Yuriscu/multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
Yuriscu/centerNet-deep-sort
Real-time multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)
Language:Python
Yuriscu/deepMOT
Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
Language:Python
Yuriscu/sense_classification
rscup: 遥感图像场景分类
Language:Python
Yuriscu/pysot-toolkit
Python Single Object Tracking Evaluation
Language:Python
Yuriscu/MVision
机器人视觉移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习无人驾驶
Language:C++
Yuriscu/MotionPathsExtraction
Approach to extract motion paths (trajectories) of vehicles and pedestrians from videos (Multiple object detection & tracking)
Language:Python
Yuriscu/DerainZoo
DerainZoo for collecting deraining methods, datasets, and codes.
Yuriscu/SPANet
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Language:Python
Yuriscu/attentive-gan-derainnet
Tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/
Language:Python
Yuriscu/AGS
(CVPR19) Learning Unsupervised Video Object Segmentation through Visual Attention
Language:Python
Yuriscu/rvos
RVOS: End-to-End Recurrent Network for Video Object Segmentation
Language:Python
Yuriscu/GMAN_Net_Haze_Removal
Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network
Language:Python
Yuriscu/Real-Time-Object-Detection-and-Segmentation
Performing various Image processing Operations on extracted frames and detecting objects in the sample video
Language:Python
Yuriscu/prepare_detection_dataset
convert dataset to coco/voc format
Language:Python
Yuriscu/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Language:Python
Yuriscu/mots_tools
Tools for evaluating and visualizing results for the Multi Object Tracking and Segmentation (MOTS) task
Language:Python
Yuriscu/ZXBlog
记录各种学习笔记(算法、Java、数据库、并发......)
Language:Java
Yuriscu/WeatherPredictionFromImage
ML project to predict weather condition in given image
Language:Python
Yuriscu/interview
📚 C/C++面试基础知识总结
Language:C++
Yuriscu/SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
Language:Python
Yuriscu/OSMO
From our paper "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene" in ACM Multimedia 2018.
Language:Python
Yuriscu/STCNN
Spatiotemporal CNN for Video Object Segmentation
Language:Python
Yuriscu/CVPR2019-Code
CVPR 2019 Paper with Code
Yuriscu/Dual-FLow-Video-Deraining-CVPR-2019
Datasets, more results and implementation details of the paper "Frame-Consistent Recurrent Video Deraining with Dual-Level Flow" in CVPR-2019
Yuriscu/dehazeProcessor
A C++ based program that offers two methods for image or video dehazing. One refer to the paper Single Image Haze Removal Using Dark Channel Prior, and the other refer to Non-local Image Dehazing. Furthermore, I trained a neural network for dehazing, and the pre-trained model has been serialized for reuse.
Language:C++
Yuriscu/Deep-Learning-for-Tracking-and-Detection
Collection of papers and other resources for object tracking and detection using deep learning
Yuriscu/Mask_RCNN_Pytorch
Mask R-CNN for object detection and instance segmentation on Pytorch
Language:Python
Yuriscu/Image-and-Video-Dehazing
This repository will consist of python code for image and video dehazing of underwater and foggy images
Language:Python
Yuriscu/PReNet
Progressive Image Deraining Networks: A Better and Simpler Baseline (CVPR 2019)
Language:Python