Name: Lu Xiankai
Type: User
Company: Shanghai Jiao Tong University
Bio: I work in Shandong University, before that I was a research associate in IIAI. I obtain the phd from Shanghai Jiao Tong University, 2018.
Location: Shanghai
Blog: https://sites.google.com/site/xiankailu111/
Lu Xiankai's Projects
Source codes of ACMMM21 paper: LearningHierarchicalEmbeddingsforVideoInstance Segmentation
source code for Finding Action Tubes, CVPR 2015
Adaptive Region Proposal for Object Tracking
PyTorch implementation of the paper "A Generative Appearance Model for End-to-End Video Object Segmentation".
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
(CVPR19) Learning Unsupervised Video Object Segmentation through Visual Attention
BING Objectness proposal estimator Matlab wrapper. More in http://mmcheng.net/bing/
Caffe
A source related to computer vision
The official implementation of Collaborative Video Object Segmentation by Foreground-Background Integration.
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
Deformable Convolutional Networks
Deep Regression Tracking with Shrinkage Loss (ECCV 2018).
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
Faster R-CNN
Must-read papers on graph neural network (GNN)
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)
Lisa Anne's public caffe code.
Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)
LSTM practice
Implementation of Non-local Block.
some simple codes about pattern recognition and computer vision
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
pytorch implementation of Shrinkage loss in our ECCV paper 2018: Deep regression tracking with shrinkage loss
research code collection
End to end detection in crowded scenes