Institute for Communications Technology, Technische Universität Braunschweig

Signal Processing and Machine Learning

Braunschweig, Germany

Pinned Repositories

AmodalCityscapes
Language:Python13 1 01
bibliography
Group bibliography
Language:TeX9 5 15
CIL_Segmentation
[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Language:Python35 4 64
Components-Loss
Components loss for neural networks in mask-based speech enhancement
Language:Python33 1 17
EC-Evaluation-Toolbox
Toolbox for Evaluation of AEC/AES Systems
Language:MATLAB8 0 02
Enhancement-Coded-Speech
Language:MATLAB23 5 114
IFN_Dataloader
Language:Python11 4 01
Perceptual-Weighting-Filter-Loss
A perceptual weighting filter loss for DNN training in speech enhancement
Language:MATLAB24 1 410
SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Language:Python204 9 3826
UBNA
Language:Python14 5 21

Institute for Communications Technology, Technische Universität Braunschweig's Repositories

ifnspaml/SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Language:Python204 9 3826
ifnspaml/CIL_Segmentation
[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Language:Python35 4 64
ifnspaml/Components-Loss
Components loss for neural networks in mask-based speech enhancement
Language:Python33 1 17
ifnspaml/Perceptual-Weighting-Filter-Loss
A perceptual weighting filter loss for DNN training in speech enhancement
Language:MATLAB24 1 410
ifnspaml/Enhancement-Coded-Speech
Language:MATLAB23 5 114
ifnspaml/UBNA
Language:Python14 5 21
ifnspaml/AmodalCityscapes
Language:Python13 1 01
ifnspaml/IFN_Dataloader
Language:Python11 4 01
ifnspaml/bibliography
Group bibliography
Language:TeX9 5 15
ifnspaml/EC-Evaluation-Toolbox
Toolbox for Evaluation of AEC/AES Systems
Language:MATLAB8 0 02
ifnspaml/revt-domain-generalization
Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
Language:Shell8 1 21
ifnspaml/Two-Stage-Speech-Enhancement
Supplementary material for the paper "Speech Enhancement by LSTM-Based Noise Suppression Followed by CNN-Based Speech Restoration" by Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, and Tim Fingscheidt.
5 1 01
ifnspaml/CBNA
Language:Python4 2 01
ifnspaml/LocalizationLabelNoise
Language:Python4 1 01
ifnspaml/OHMQ
One-Hot Max Quantization
Language:Python4 1 00
ifnspaml/PerfPredRec
This repository serves for reproducing the results of the paper "Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder"
Language:Python4 1 11
ifnspaml/vatrack
Language:Python3 1 01
ifnspaml/AdvAttackDet
Language:Python2 1 0
ifnspaml/GIAnT
A Group Interaction Annotation Tool
Language:MATLAB2 1 01
ifnspaml/PerfPredRecV2
This repository serves for reproducing the results of the paper "Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving"
Language:Python2 1 01
ifnspaml/S-AModal
Language:Python21
ifnspaml/TUBSRobustCheck
Language:Python2 0 01
ifnspaml/PESQDNN
Language:Python1 0 01
ifnspaml/relaxedAttention
fairseq-code extension for relaxed attention
1 0 00
ifnspaml/Cross_Language_Transfer_Learning_AVASR
0 0 00
ifnspaml/Lipreading-RDrop-RA
0 0 10
ifnspaml/espresso
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
Language:Python0 0
ifnspaml/MicroscopyImageSR
Code for microscopy image super-resolution focusing on low-resolution-only training images.
ifnspaml/SuperResolutionMultiscaleTraining
Code for Super-Resolution Multiscale Training
Language:Python