Matthew Berger

Orcid: 0000-0002-8876-2418

According to our database1, Matthew Berger authored at least 37 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

Graphical Perception of Saliency-based Model Explanations.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data.
IEEE Trans. Medical Imaging, 2022

Integration-free Learning of Flow Maps.
CoRR, 2022

Neural Flow Map Reconstruction.
Comput. Graph. Forum, 2022

Interactively Assessing Disentanglement in GANs.
Comput. Graph. Forum, 2022

2021
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models.
IEEE Trans. Vis. Comput. Graph., 2021

STFT-LDA: An algorithm to facilitate the visual analysis of building seismic responses.
Inf. Vis., 2021

Compressive Neural Representations of Volumetric Scalar Fields.
Comput. Graph. Forum, 2021

Integration-Aware Vector Field Super Resolution.
Proceedings of the 21st Eurographics Conference on Visualization, 2021

NeuralCubes: Deep Representations for Visual Data Exploration.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Visually Analyzing and Steering Zero Shot Learning.
Proceedings of the 31st IEEE Visualization Conference, 2020

Visually Analyzing Contextualized Embeddings.
Proceedings of the 31st IEEE Visualization Conference, 2020

PRAGMA: Interactively Constructing Functional Brain Parcellations.
Proceedings of the 31st IEEE Visualization Conference, 2020

Domain Adaptation for Ultrasound Beamforming.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Visualization of Unsteady Flow Using Heat Kernel Signatures.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019
A Generative Model for Volume Rendering.
IEEE Trans. Vis. Comput. Graph., 2019

2018
NNCubes: Learned Structures for Visual Data Exploration.
CoRR, 2018

Topological Eulerian Synthesis of Slow Motion Periodic Videos.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Visual Supervision in Bootstrapped Information Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
cite2vec: Citation-Driven Document Exploration via Word Embeddings.
IEEE Trans. Vis. Comput. Graph., 2017

Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures.
IEEE Trans. Signal Process., 2017

Visualizing Time-Varying Particle Flows with Diffusion Geometry.
CoRR, 2017

A Survey of Surface Reconstruction from Point Clouds.
Comput. Graph. Forum, 2017

2016
Classifying swarm behavior via compressive subspace learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

On Time-Series Topological Data Analysis: New Data and Opportunities.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Active Perceptual Similarity Modeling with Auxiliary Information.
CoRR, 2015

Efficient Online Relative Comparison Kernel Learning.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Matrix completion with columns in union and sums of subspaces.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Using physically Based Rendering to Benchmark Structured Light Scanners.
Comput. Graph. Forum, 2014

State of the Art in Surface Reconstruction from Point Clouds.
Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014

Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Shape Analysis of Defect-Laden Data.
PhD thesis, 2013

A benchmark for surface reconstruction.
ACM Trans. Graph., 2013

2012
Nonrigid Matching of Undersampled Shapes via Medial Diffusion.
Comput. Graph. Forum, 2012

Medial Kernels.
Comput. Graph. Forum, 2012

2010
Fiedler trees for multiscale surface analysis.
Comput. Graph., 2010


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