Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking (CVPR 2018)
Matlab implementation of the IBCCF tracker.
Matlab code for UL-Tracker (AAAI2019)
Multi Person Pose Estimation
Matlab implementation of the ECO tracker.
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)
Matlab code for machine learning algorithms in book PRML
High-Speed Tracking with Kernelized Correlation Filters
Simple Online Realtime Tracking with a Deep Association Metric
Simple, online, and realtime tracking of multiple objects in a video sequence.
HPC cluster wiki docs
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
Visual tracking library based on PyTorch.
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
R-FCN with joint training and python support
Code for "Learning Dynamic Memory Networks for Object Tracking"
A paper list of object detection using deep learning.
Implementation of Graph Convolutional Networks in TensorFlow
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
A visual object tracking algorithm based on convolutional regression framework
SDL-based reimplementation of the classic Chinese-language RPG "Xiān jiàn Qí Xiá Zhuàn" (also known as PAL).
Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.
This contains my machine learning notes in latex form
Continuum Learning with GEM: Gradient Episodic Memory
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"
Public repo for helpful scripts when using the YouTube Bounding Boxes dataset
:octocat: Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.
Convert models from MatConvNet to PyTorch
The most cited deep learning papers
visual tracker benchmark results
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)