Name: Junpeng Zhang
Type: User
Company: Xidian University
Bio: I am a Researcher in School of Artifical Intelligence, Xidian University. My research interests include remote sensing image processing and video analysis.
Location: Xian, Shaanxi, China
Junpeng Zhang's Projects
A curated list of awesome CMake resources, scripts, modules, examples and others.
A curated list of deep learning resources for computer vision
A community driven list of useful Emacs packages, libraries and others.
Awesome Knowledge Distillation
List of machine learning competitions for satellite imagery and remote sensing.
Caffe: a fast open framework for deep learning.
Benchmarks for popular CNN models
A harness for building the bundled suite of interoperable optimization tools available in the COIN-OR repository.
[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Deep Learning (Python, C/C++, Java, Scala, Go)
The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"
Debugging C++ in a Docker Container with CLion IDE
A faster pytorch implementation of faster r-cnn
This repository contains the implementation of the GMMCP tracker published in CVPR2015
Automatically exported from code.google.com/p/googletest
Image augmentation for machine learning experiments.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
C++ Implementation of KCF Tracker
This resposity maintains a series of papers on knowledge distillation.
This is a project for engineers to learn model dnn as they need by tensorflow.
A Library of ADMM for Sparse and Low-rank Optimization
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
C++/Python library for multiple object tracking via min-cost flow algorithms
Multiscale Combinatorial Grouping - Object Proposals and Segmentation
Learning to Track: Online Multi-Object Tracking by Decision Making
Open MMLab Detection Toolbox and Benchmark
This is a knowledge distillation toolbox based on mmdetection.
OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.