Name: Karsten Roth
Type: User
Company: University of Tuebingen
Bio: All things representation.
PhD (IMPRS-IS, ELLIS) EML Tuebingen | prev. @VectorInstitute, @mila-iqia, @aws, @facebookresearch
Twitter: confusezius
Location: Tuebingen
Blog: karroth.com
Karsten Roth's Projects
Straightforward top-5% Car Masking Pipeline for the Carvana Image Masking Challenge
Html, JQuery and Javascript-based Logbook for cell culturing
Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
https://confusezius.github.io/
(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.
A PyTorch toolbox for domain adaptation and semi-supervised learning.
PyTorch Implementation for Deep Metric Learning Pipelines
๐งถ Modular VAE disentanglement framework for python built with PyTorch Lightning โธ Including metrics and datasets โธ With strongly supervised, weakly supervised and unsupervised methods โธ Easily configured and run with Hydra config โธ Inspired by disentanglement_lib
A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.
(ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.
:octocat: personal website + blog for every github user
Easy TOC creation for GitHub README.md
Homepage Karsten Roth
A brazen two-column theme for Jekyll.
(ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliary training task to explain away intra-class variations.
This repository contains the code for our CVPR 2022 paper on "Integrating Language Guidance into Vision-based Deep Metric Learning".
Theano and Lasagne - based scripts to run 2D or 3D liver and lesion segmentation
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".
Python and PyMongo-Based Web Crawler for Platesmania.com
Pytorch implementation of convolutional neural network visualization techniques
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Self-driving car using the Udacity driving simulator