Matthew Berger

62 papers A* 4A 2B 2Journal 42Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Judgment of Spatial Correlation in Visual Displays of Scalar Field Distributions. IEEE Trans. Vis. Comput. Graph. Yayan Zhao, Matthew Berger
2025	J	`jnl`	Concept Lens: Visual Comparison and Evaluation of Generative Model Manipulations. IEEE Trans. Vis. Comput. Graph. Sangwon Jeong, Mingwei Li, Matthew Berger, Shusen Liu
2025	J	`jnl`	Evaluating judgment of spatial correlation in visual displays of scalar field distributions. CoRR Yayan Zhao, Matthew Berger
2025	J	`jnl`	See or Recall: A Sanity Check for the Role of Vision in Solving Visualization Question Answer Tasks with Multimodal LLMs. CoRR Zhimin Li, Haichao Miao, Xinyuan Yan, Valerio Pascucci, Matthew Berger, Shusen Liu
2025	J	`jnl`	Seeing the Many: Exploring Parameter Distributions Conditioned on Features in Surrogates. CoRR Xiaohan Wang, Zhimin Li, Joshua A. Levine, Matthew Berger
2025	J	`jnl`	Topology Guidance: Controlling the Outputs of Generative Models via Vector Field Topology. CoRR Xiaohan Wang, Matthew Berger
2024	J	`jnl`	CAN: Concept-Aligned Neurons for Visual Comparison of Deep Neural Network Models. Comput. Graph. Forum Mingwei Li, Sangwon Jeong, Shusen Liu, Matthew Berger
2024	J	`jnl`	CUPID: Contextual Understanding of Prompt-conditioned Image Distributions. Comput. Graph. Forum Yayan Zhao, Mingwei Li, Matthew Berger
2024	J	`jnl`	CUPID: Contextual Understanding of Prompt-conditioned Image Distributions. CoRR Yayan Zhao, Mingwei Li, Matthew Berger
2024	J	`jnl`	Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs. CoRR Sangwon Jeong, Mingwei Li, Matthew Berger, Shusen Liu
2024	J	`jnl`	Graphical Perception of Saliency-based Model Explanations. CoRR Yayan Zhao, Mingwei Li, Matthew Berger
2024	J	`jnl`	Text-based Transfer Function Design for Semantic Volume Rendering. CoRR Sangwon Jeong, Jixian Li, Christopher Johnson, Shusen Liu, Matthew Berger
2024	A	`conf`	Text-based transfer function design for semantic volume rendering. IEEE VIS Sangwon Jeong, Jixian Li, Chris R. Johnson, Shusen Liu, Matthew Berger
2024	J	`jnl`	The Visualization JUDGE : Can Multimodal Foundation Models Guide Visualization Design Through Visual Perception? CoRR Matthew Berger, Shusen Liu
2024	—	`conf`	The Visualization JUDGE: Can Multimodal Foundation Models Guide Visualization Design Through Visual Perception? BELIV Matthew Berger, Shusen Liu
2023	—	`conf`	Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs. IEEE VIS (Short Papers) Sangwon Jeong, Mingwei Li, Matthew Berger, Shusen Liu
2023	A*	`conf`	Graphical Perception of Saliency-based Model Explanations. CHI Yayan Zhao, Mingwei Li, Matthew Berger
2022	J	`jnl`	Integration-free Learning of Flow Maps. CoRR Saroj Sahoo, Matthew Berger
2022	J	`jnl`	Interactively Assessing Disentanglement in GANs. Comput. Graph. Forum Sangwon Jeong, Shusen Liu, Matthew Berger
2022	J	`jnl`	Neural Flow Map Reconstruction. Comput. Graph. Forum Saroj Sahoo, Y. Lu, Matthew Berger
2022	J	`jnl`	Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data. IEEE Trans. Medical Imaging Jaime Tierney, Adam Luchies, Christopher Khan, Jennifer Baker, Daniel B. Brown, Brett C. Byram, Matthew Berger
2021	J	`jnl`	Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models. IEEE Trans. Vis. Comput. Graph. Joseph F. DeRose, Jiayao Wang, Matthew Berger
2021	J	`jnl`	Compressive Neural Representations of Volumetric Scalar Fields. Comput. Graph. Forum Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger
2021	J	`jnl`	Compressive Neural Representations of Volumetric Scalar Fields. CoRR Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger
2021	—	`conf`	Integration-Aware Vector Field Super Resolution. EuroVis (Short Papers) Saroj Sahoo, Matthew Berger
2021	—	`conf`	NeuralCubes: Deep Representations for Visual Data Exploration. IEEE BigData Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger
2021	J	`jnl`	STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses. CoRR Zhenge Zhao, Danilo Motta, Matthew Berger, Joshua A. Levine, Ismail B. Kuzucu, Robert B. Fleischman, Afonso Paiva, Carlos Scheidegger
2021	J	`jnl`	STFT-LDA: An algorithm to facilitate the visual analysis of building seismic responses. Inf. Vis. Zhenge Zhao, Danilo Motta, Matthew Berger, Joshua A. Levine, Ismail B. Kuzucu, Robert B. Fleischman, Afonso Paiva, Carlos Scheidegger
2020	J	`jnl`	Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models. CoRR Joseph F. DeRose, Jiayao Wang, Matthew Berger
2020	—	`conf`	Domain Adaptation for Ultrasound Beamforming. MICCAI (2) Jaime Tierney, Adam Luchies, Christopher Khan, Brett C. Byram, Matthew Berger
2020	—	`conf`	PRAGMA: Interactively Constructing Functional Brain Parcellations. IEEE VIS (Short Papers) Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger
2020	J	`jnl`	PRAGMA: Interactively Constructing Functional Brain Parcellations. CoRR Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger
2020	B	`conf`	Visualization of Unsteady Flow Using Heat Kernel Signatures. PacificVis Kairong Jiang, Matthew Berger, Joshua A. Levine
2020	J	`jnl`	Visualization of Unsteady Flow Using Heat Kernel Signatures. CoRR Kairong Jiang, Matthew Berger, Joshua A. Levine
2020	—	`conf`	Visually Analyzing Contextualized Embeddings. IEEE VIS (Short Papers) Matthew Berger
2020	J	`jnl`	Visually Analyzing Contextualized Embeddings. CoRR Matthew Berger
2020	—	`conf`	Visually Analyzing and Steering Zero Shot Learning. IEEE VIS (Short Papers) Saroj Sahoo, Matthew Berger
2020	J	`jnl`	Visually Analyzing and Steering Zero Shot Learning. CoRR Saroj Sahoo, Matthew Berger
2019	J	`jnl`	A Generative Model for Volume Rendering. IEEE Trans. Vis. Comput. Graph. Matthew Berger, Jixian Li, Joshua A. Levine
2018	J	`jnl`	NNCubes: Learned Structures for Visual Data Exploration. CoRR Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger
2018	B	`conf`	Topological Eulerian Synthesis of Slow Motion Periodic Videos. ICIP Christopher J. Tralie, Matthew Berger
2018	J	`jnl`	Topological Eulerian Synthesis of Slow Motion Periodic Videos. CoRR Christopher J. Tralie, Matthew Berger
2018	A*	`conf`	Visual Supervision in Bootstrapped Information Extraction. EMNLP Matthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang
2017	J	`jnl`	A Generative Model for Volume Rendering. CoRR Matthew Berger, Jixian Li, Joshua A. Levine
2017	J	`jnl`	A Survey of Surface Reconstruction from Point Clouds. Comput. Graph. Forum Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gaël Guennebaud, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva
2017	J	`jnl`	Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. IEEE Trans. Signal Process. Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
2017	J	`jnl`	Visualizing Time-Varying Particle Flows with Diffusion Geometry. CoRR Matthew Berger, Joshua A. Levine
2017	J	`jnl`	cite2vec: Citation-Driven Document Exploration via Word Embeddings. IEEE Trans. Vis. Comput. Graph. Matthew Berger, Katherine McDonough, Lee M. Seversky
2016	A*	`conf`	Classifying swarm behavior via compressive subspace learning. ICRA Matthew Berger, Lee M. Seversky, Daniel S. Brown
2016	—	`conf`	On Time-Series Topological Data Analysis: New Data and Opportunities. CVPR Workshops Lee M. Seversky, Shelby Davis, Matthew Berger
2015	J	`jnl`	Active Perceptual Similarity Modeling with Auxiliary Information. CoRR Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
2015	A	`conf`	Efficient Online Relative Comparison Kernel Learning. SDM Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
2015	J	`jnl`	Efficient Online Relative Comparison Kernel Learning. CoRR Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
2015	—	`conf`	Matrix completion with columns in union and sums of subspaces. GlobalSIP Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
2014	—	`conf`	State of the Art in Surface Reconstruction from Point Clouds. Eurographics (State of the Art Reports) Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Joshua A. Levine, Andrei Sharf, Cláudio T. Silva
2014	A*	`conf`	Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction. CVPR Matthew Berger, Lee M. Seversky
2014	J	`jnl`	Using physically Based Rendering to Benchmark Structured Light Scanners. Comput. Graph. Forum Esdras Medeiros, Harish Doraiswamy, Matthew Berger, Cláudio T. Silva
2013	J	`jnl`	A benchmark for surface reconstruction. ACM Trans. Graph. Matthew Berger, Joshua A. Levine, Luis Gustavo Nonato, Gabriel Taubin, Cláudio T. Silva
2013	—	`—`	Shape Analysis of Defect-Laden Data. Matthew Berger
2012	J	`jnl`	Medial Kernels. Comput. Graph. Forum Matthew Berger, Cláudio T. Silva
2012	J	`jnl`	Nonrigid Matching of Undersampled Shapes via Medial Diffusion. Comput. Graph. Forum Matthew Berger, Cláudio T. Silva
2010	J	`jnl`	Fiedler trees for multiscale surface analysis. Comput. Graph. Matthew Berger, Luis Gustavo Nonato, Valerio Pascucci, Cláudio T. Silva