Name: Jacobs University (non-official)
Type: Organization
Bio: This is an non-official Jacobs University account. Jacobs University is in no way responsible for the content on this account or its repositories.
Location: Bremen
Blog: https://www.jacobs-university.de
Jacobs University (non-official)'s Projects
Computer Networks Course 2020
A fun photo editing experience that does emotion detection and live speech to text to achieve some funky results!
Computer Graphics, Fall Semester 2019, Practical Assignment 1
Computer Graphics, Fall Semester 2019, Practical Assignment 2
Computer Graphics, Fall Semester 2019, Practical Assignment 3
Computer Graphics, Fall Semester 2019, Practical Assignment 4
Computer Graphics, Fall Semester 2019, Practical Assignment 5
Computer Graphics, Fall Semester 2020, Practical Assignment 6
A utility for crawling websites and building frequency lists of words
Final Project submission for HCI by (Adnan Abu Ramadan and Alex Tretyakov)
Deep Learning Computer Vision models depend on massive datasets for their advance computations. There are multiple human motion capture datasets available which serves the purpose of doing the base computations but lack to be the ideal dataset in two major ways. Either, the datasets are very small and are constrained to only particular motion or the output generated by these datasets is not natural, that is, itβs not true to our humane movements. These problems are solved by AMASS (Archive of Motion Capture as Surface Shapes) which generates highly versatile SMPL (Multi Person Linear Model) model outputs which includes standard skeletal representation and a full surface body mesh. The MoSh algorithm which is used to generate the output is modified to incorporate the soft tissue dynamics and renamed to MoSh++. The dataset is then made richer by adding data from datasets like DMPL (Dynamic SMPL) and MANO (Hand Model with Articulated and Non-rigid Deformations). AMASS is able to generate output which is compatible with recent graphics engines, game engines and animations requirements.
Final project or paper implementation of course "Data Visualisation and Image Processing"
Vanishing Point Detector Integrating Under-parameterized RANSAC and Hough Transform
ICCV 3 - Scene Context-Aware Salient Object Detection
Image Dehazing using Convolutional Neural Networks
ICIP 3 - MULTI-COLOR BALANCE FOR COLOR CONSTANCY Project