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class Attributes(jiexiong2016):
	
    @staticmethod
    def contact() -> tuple:
        name = "Jiexiong Tang"
        email = "[email protected]"
        return name, email

    @staticmethod
    def life() -> tuple:
        langs = ['English', 'Chinese']
        base  = ['Stockholm', 'Sweden']
        return langs, base
	
    @staticmethod
    def skills() -> tuple:
        coding = {
            'daily use':   ['python', 'c++'],
            'if have to': ['c', 'cuda']
        }
        expertise  = ['Computer vision', 'Machine learning', 
                    'Simultaneous localization and mapping', 'Self-supervised learning',
                    'Deep but not that deep learning']		
        return coding, expertise
	
    @staticmethod
    def education() -> tuple:
        highest = ['Phd in Computer Science', 'KTH Royal Institute of Technology']
        return highest

Jiexiong Tang's Projects

agi-pack icon agi-pack

A Dockerfile builder for Machine Learning developers

caffe icon caffe

Caffe: a fast open framework for deep learning.

colmap icon colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

dreamgaussian icon dreamgaussian

Generative Gaussian Splatting for Efficient 3D Content Creation

dso icon dso

Direct Sparse Odometry

first-order-model icon first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

g2o icon g2o

g2o: A General Framework for Graph Optimization

gcnv2_vins icon gcnv2_vins

visual-inertial system(VINS) with deep feature GCNv2

glm icon glm

OpenGL Mathematics (GLM)

ldso icon ldso

DSO with SIM(3) pose graph optimization and loop closure

libtorch-yolov3 icon libtorch-yolov3

A Libtorch implementation of the YOLO v3 object detection algorithm

mavros icon mavros

MAVLink to ROS gateway with proxy for Ground Control Station

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pangolin icon pangolin

Python binding of 3D visualization library Pangolin

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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