LEARN Lab News

2020 Summer Recruit&Project Introduction

Learners’ Engineering And Research Network & Microsoft Student Club Joint Lab(LEARN & MSC Joint Lab)

Tutorial

A Paper List for Visual Object Tracking

A complete paper list of Single-Object Visual Tracking Algorithms, Surveys and Benchmarks of recent years. Different from existing paper list, this project doesn't simply category the papers by publishment, but from a tracking process perspective. Main Contributions and Novelties of each tracker paper is carefully studied, forming our taxonomy criteria. The investigation covers top conferences as AAAI, CVPR, ECCV, ICCV, ICML, IJCAI, NIPS and top journals as IJCV, TIP, PAMI, CSVT. Note that the list is not bijective, namely a single paper may appear in diverse contents.

Program Synthesis Tutorial

My slides for presentation at LEARN Lab, giving a coarse introduction to Program Synthesis, a sub-field of AI.

Seminar: Few-Shot Bayesian Imitation Learning with Logical Program Policies

My slides for presentation at LEARN Lab, introducing Few-Shot Bayesian Imitation Learning with Logical Program Policies (AAAI'20)

Seminar: A Probabilistic Programming Language for Scene Perception

My slides for presentation at LEARN Lab, introducing Picture: A Probabilistic Programming Language for Scene Perception (CVPR'15)

Seminar: G2SAT

My notes and slides for presentation at LEARN Lab, introducing G2SAT (NIPS'19)

Notes for Paper-Reading

Notes for papers on computer vision.

RPN & Faster RCNN

got-toolkit

Visual Object Tracking Benchmarks

VOT 2019(ICCV 2019)

CVPR 2018

CMU-HUST-15210

This repository contains codes and lab report for CMU-HUST-15210: Parallel and Sequential Algorithms and Data Structure. The course is imported from Carnegie Mellon University for students selected in the ACM project. If you need to use the results or perspectives in my lab report, please cite the report..

Abductive Learning

Personal perspectives on Abductive Learning.

Probability Theory Note

Refined Note for Probability Theory and Mathematical Statistics.

Learning Computer Vision

Notes and Codes for learning OpenCV-Python..

Learning Plotly-Python

Notes and code for learning plotly-python.

Learning D3.js

My learning notes and source codes of fundamental d3js.

C Programming

My learning notes and source codes of C.