Publications

Gencer Sumbul, Begüm Demir

Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing

June 14 , 2023

https://arxiv.org/abs/2306.08575

Kajetan Maliszewski, Tilman Dietzel, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

TeeBench: Seamless Benchmarking in Trusted Execution Environments

June 05 , 2023

https://doi.org/10.1145/3555041.3589726

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)

June 04 , 2023

https://dl.acm.org/doi/pdf/10.1145/3555041.3590819

Matthias Boehm, Matteo Interlandi, Chris Jermaine

Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques

June 04 , 2023

https://dl.acm.org/doi/10.1145/3555041.3589407

Leonard Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir

LIT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing

June 02 , 2023

https://arxiv.org/abs/2306.00758

David Hoffmann, Kai Norman Clasen, Begüm Demir

Transformer-based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification

June 02 , 2023

https://arxiv.org/abs/2306.01523

Martin Hermann Paul Fuchs, Begüm Demir

HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods

June 02 , 2023

https://arxiv.org/abs/2306.00385

Saeed Fathollahzadeh, Matthias Boehm

GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example

June 01 , 2023

https://dl.acm.org/doi/10.1145/3589265

Sebastian Baunsgaard, Matthias Boehm

AWARE: Workload-aware, Redundancy-exploiting Linear Algebra

May 30 , 2023

https://dl.acm.org/doi/10.1145/3588682

Yuanyuan Gao, De’Ja Rogers, Alexander von Lühmann, Antonio Ortega-Martinez, David A. Boas, Meryem A. Yücel

Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy.

May 23 , 2023

https://doi.org/10.1117/1.NPh.10.2.025007

Publications

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ALL PUBLICATIONS

Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing

TeeBench: Seamless Benchmarking in Trusted Execution Environments

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)

Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques

LIT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing

Transformer-based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification

HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods

GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example

AWARE: Workload-aware, Redundancy-exploiting Linear Algebra

Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy.