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Matthew Berger
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2020 – today
- 2024
- [j17]Mingwei Li
, Sangwon Jeong
CAN: Concept-Aligned Neurons for Visual Comparison of Deep Neural Network Models. Comput. Graph. Forum 43(3) (2024) - [j16]Yayan Zhao
CUPID: Contextual Understanding of Prompt-conditioned Image Distributions. Comput. Graph. Forum 43(3) (2024) - [i18]Yayan Zhao, Mingwei Li, Matthew Berger:
CUPID: Contextual Understanding of Prompt-conditioned Image Distributions. CoRR abs/2406.07699 (2024) - [i17]Yayan Zhao, Mingwei Li, Matthew Berger:
Graphical Perception of Saliency-based Model Explanations. CoRR abs/2406.07702 (2024) - [i16]Sangwon Jeong, Jixian Li, Christopher Johnson, Shusen Liu, Matthew Berger:
Text-based Transfer Function Design for Semantic Volume Rendering. CoRR abs/2406.15634 (2024) - [i15]Sangwon Jeong, Mingwei Li, Matthew Berger, Shusen Liu:
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs. CoRR abs/2406.19987 (2024) - 2023
- [c17]Yayan Zhao
Graphical Perception of Saliency-based Model Explanations. CHI 2023: 821:1-821:15 - [c16]Sangwon Jeong
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs. IEEE VIS (Short Papers) 2023: 221-225 - 2022
- [j15]Sangwon Jeong
Interactively Assessing Disentanglement in GANs. Comput. Graph. Forum 41(3): 85-95 (2022) - [j14]Saroj Sahoo, Y. Lu, Matthew Berger:
Neural Flow Map Reconstruction. Comput. Graph. Forum 41(3): 391-402 (2022) - [j13]Jaime Tierney
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data. IEEE Trans. Medical Imaging 41(1): 158-171 (2022) - [i14]Saroj Sahoo, Matthew Berger:
Integration-free Learning of Flow Maps. CoRR abs/2211.03192 (2022) - 2021
- [j12]Yuzhe Lu, Kairong Jiang, Joshua A. Levine
Compressive Neural Representations of Volumetric Scalar Fields. Comput. Graph. Forum 40(3): 135-146 (2021) - [j11]Zhenge Zhao
STFT-LDA: An algorithm to facilitate the visual analysis of building seismic responses. Inf. Vis. 20(4) (2021) - [j10]Joseph F. DeRose, Jiayao Wang, Matthew Berger:
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models. IEEE Trans. Vis. Comput. Graph. 27(2): 1160-1170 (2021) - [c15]Zhe Wang, Dylan Cashman
NeuralCubes: Deep Representations for Visual Data Exploration. IEEE BigData 2021: 550-561 - [c14]Saroj Sahoo, Matthew Berger:
Integration-Aware Vector Field Super Resolution. EuroVis (Short Papers) 2021: 49-53 - [i13]Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger:
Compressive Neural Representations of Volumetric Scalar Fields. CoRR abs/2104.04523 (2021) - [i12]Zhenge Zhao, Danilo Motta, Matthew Berger, Joshua A. Levine, Ismail B. Kuzucu, Robert B. Fleischman, Afonso Paiva, Carlos Scheidegger:
STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses. CoRR abs/2109.00197 (2021) - 2020
- [c13]Kairong Jiang, Matthew Berger, Joshua A. Levine:
Visualization of Unsteady Flow Using Heat Kernel Signatures. PacificVis 2020: 96-105 - [c12]Jaime Tierney, Adam Luchies, Christopher Khan, Brett C. Byram, Matthew Berger:
Domain Adaptation for Ultrasound Beamforming. MICCAI (2) 2020: 410-420 - [c11]Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger:
PRAGMA: Interactively Constructing Functional Brain Parcellations. IEEE VIS (Short Papers) 2020: 46-50 - [c10]Saroj Sahoo, Matthew Berger:
Visually Analyzing and Steering Zero Shot Learning. IEEE VIS (Short Papers) 2020: 251-255 - [c9]Matthew Berger:
Visually Analyzing Contextualized Embeddings. IEEE VIS (Short Papers) 2020: 276-280 - [i11]Kairong Jiang, Matthew Berger, Joshua A. Levine:
Visualization of Unsteady Flow Using Heat Kernel Signatures. CoRR abs/2004.14381 (2020) - [i10]Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger:
PRAGMA: Interactively Constructing Functional Brain Parcellations. CoRR abs/2009.01697 (2020) - [i9]Matthew Berger:
Visually Analyzing Contextualized Embeddings. CoRR abs/2009.02554 (2020) - [i8]Saroj Sahoo, Matthew Berger:
Visually Analyzing and Steering Zero Shot Learning. CoRR abs/2009.05254 (2020) - [i7]Joseph F. DeRose, Jiayao Wang, Matthew Berger:
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models. CoRR abs/2009.07053 (2020)
2010 – 2019
- 2019
- [j9]Matthew Berger
A Generative Model for Volume Rendering. IEEE Trans. Vis. Comput. Graph. 25(4): 1636-1650 (2019) - 2018
- [c8]Matthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang:
Visual Supervision in Bootstrapped Information Extraction. EMNLP 2018: 2043-2053 - [c7]Christopher J. Tralie, Matthew Berger:
Topological Eulerian Synthesis of Slow Motion Periodic Videos. ICIP 2018: 3573-3577 - [i6]Christopher J. Tralie, Matthew Berger:
Topological Eulerian Synthesis of Slow Motion Periodic Videos. CoRR abs/1805.06021 (2018) - [i5]Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
NNCubes: Learned Structures for Visual Data Exploration. CoRR abs/1808.08983 (2018) - 2017
- [j8]Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gaël Guennebaud, Joshua A. Levine, Andrei Sharf
A Survey of Surface Reconstruction from Point Clouds. Comput. Graph. Forum 36(1): 301-329 (2017) - [j7]Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky:
Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. IEEE Trans. Signal Process. 65(20): 5421-5436 (2017) - [j6]Matthew Berger, Katherine McDonough, Lee M. Seversky:
cite2vec: Citation-Driven Document Exploration via Word Embeddings. IEEE Trans. Vis. Comput. Graph. 23(1): 691-700 (2017) - [i4]Matthew Berger, Joshua A. Levine:
Visualizing Time-Varying Particle Flows with Diffusion Geometry. CoRR abs/1708.03686 (2017) - [i3]Matthew Berger, Jixian Li, Joshua A. Levine:
A Generative Model for Volume Rendering. CoRR abs/1710.09545 (2017) - 2016
- [c6]Lee M. Seversky, Shelby Davis, Matthew Berger:
On Time-Series Topological Data Analysis: New Data and Opportunities. CVPR Workshops 2016: 1014-1022 - [c5]Matthew Berger, Lee M. Seversky, Daniel S. Brown:
Classifying swarm behavior via compressive subspace learning. ICRA 2016: 5328-5335 - 2015
- [c4]Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky:
Matrix completion with columns in union and sums of subspaces. GlobalSIP 2015: 785-789 - [c3]Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht:
Efficient Online Relative Comparison Kernel Learning. SDM 2015: 271-279 - [i2]Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht:
Efficient Online Relative Comparison Kernel Learning. CoRR abs/1501.01242 (2015) - [i1]Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht:
Active Perceptual Similarity Modeling with Auxiliary Information. CoRR abs/1511.02254 (2015) - 2014
- [j5]Esdras Medeiros, Harish Doraiswamy, Matthew Berger, Cláudio T. Silva:
Using physically Based Rendering to Benchmark Structured Light Scanners. Comput. Graph. Forum 33(7): 71-80 (2014) - [c2]Matthew Berger, Lee M. Seversky:
Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction. CVPR 2014: 1274-1281 - [c1]Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva:
State of the Art in Surface Reconstruction from Point Clouds. Eurographics (State of the Art Reports) 2014: 161-185 - 2013
- [b1]Matthew Berger:
Shape Analysis of Defect-Laden Data. University of Utah, USA, 2013 - [j4]Matthew Berger, Joshua A. Levine, Luis Gustavo Nonato, Gabriel Taubin
A benchmark for surface reconstruction. ACM Trans. Graph. 32(2): 20:1-20:17 (2013) - 2012
- [j3]Matthew Berger, Cláudio T. Silva:
Medial Kernels. Comput. Graph. Forum 31(2pt4): 795-804 (2012) - [j2]Matthew Berger, Cláudio T. Silva:
Nonrigid Matching of Undersampled Shapes via Medial Diffusion. Comput. Graph. Forum 31(5): 1587-1596 (2012) - 2010
- [j1]Matthew Berger, Luis Gustavo Nonato, Valerio Pascucci
Fiedler trees for multiscale surface analysis. Comput. Graph. 34(3): 272-281 (2010)
Coauthor Index
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