Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Hanspeter Pfister

Hanspeter Pfister

Harvard University

VICE: Visual Identification and Correction of Neural Circuit Errors


May 14, 2021
Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister

Figure 1 for VICE: Visual Identification and Correction of Neural Circuit Errors
Figure 2 for VICE: Visual Identification and Correction of Neural Circuit Errors
Figure 3 for VICE: Visual Identification and Correction of Neural Circuit Errors
Figure 4 for VICE: Visual Identification and Correction of Neural Circuit Errors
* This paper has been accepted for publication and presentation at the 23rd EG Conference on Visualization (EuroVis 2021) 
  Access Paper or Ask Questions

PhotoApp: Photorealistic Appearance Editing of Head Portraits


Mar 13, 2021
Mallikarjun B R, Ayush Tewari, Abdallah Dib, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Louis Chevallier, Mohamed Elgharib, Christian Theobalt

Figure 1 for PhotoApp: Photorealistic Appearance Editing of Head Portraits
Figure 2 for PhotoApp: Photorealistic Appearance Editing of Head Portraits
Figure 3 for PhotoApp: Photorealistic Appearance Editing of Head Portraits
Figure 4 for PhotoApp: Photorealistic Appearance Editing of Head Portraits
* http://gvv.mpi-inf.mpg.de/projects/PhotoApp/ 
  Access Paper or Ask Questions

Consistent Recurrent Neural Networks for 3D Neuron Segmentation


Feb 01, 2021
Felix Gonda, Donglai Wei, Hanspeter Pfister

Figure 1 for Consistent Recurrent Neural Networks for 3D Neuron Segmentation
Figure 2 for Consistent Recurrent Neural Networks for 3D Neuron Segmentation
Figure 3 for Consistent Recurrent Neural Networks for 3D Neuron Segmentation
Figure 4 for Consistent Recurrent Neural Networks for 3D Neuron Segmentation

  Access Paper or Ask Questions

Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation


Dec 02, 2020
Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian Leahy, Helen Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister

Figure 1 for Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Figure 2 for Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Figure 3 for Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Figure 4 for Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
* 9 pages including references, 9 figures, 5 tables, in preparation for journal submission 
  Access Paper or Ask Questions

Monocular Reconstruction of Neural Face Reflectance Fields


Aug 24, 2020
Mallikarjun B R., Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed Elgharib, Christian Theobalt

Figure 1 for Monocular Reconstruction of Neural Face Reflectance Fields
Figure 2 for Monocular Reconstruction of Neural Face Reflectance Fields
Figure 3 for Monocular Reconstruction of Neural Face Reflectance Fields
Figure 4 for Monocular Reconstruction of Neural Face Reflectance Fields
* Project page - http://gvv.mpi-inf.mpg.de/projects/FaceReflectanceFields/ 
  Access Paper or Ask Questions

On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations


Jul 15, 2020
Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix

Figure 1 for On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
Figure 2 for On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
Figure 3 for On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
Figure 4 for On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations

  Access Paper or Ask Questions

A New Age of Computing and the Brain


Apr 27, 2020
Polina Golland, Jack Gallant, Greg Hager, Hanspeter Pfister, Christos Papadimitriou, Stefan Schaal, Joshua T. Vogelstein

Figure 1 for A New Age of Computing and the Brain
Figure 2 for A New Age of Computing and the Brain
Figure 3 for A New Age of Computing and the Brain
Figure 4 for A New Age of Computing and the Brain
* A Computing Community Consortium (CCC) workshop report, 24 pages 
  Access Paper or Ask Questions

A Topological Nomenclature for 3D Shape Analysis in Connectomics


Sep 27, 2019
Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff W. Lichtman, Hanspeter Pfister

Figure 1 for A Topological Nomenclature for 3D Shape Analysis in Connectomics
Figure 2 for A Topological Nomenclature for 3D Shape Analysis in Connectomics
Figure 3 for A Topological Nomenclature for 3D Shape Analysis in Connectomics
Figure 4 for A Topological Nomenclature for 3D Shape Analysis in Connectomics
* Technical report 
  Access Paper or Ask Questions

White-Box Adversarial Defense via Self-Supervised Data Estimation


Sep 13, 2019
Zudi Lin, Hanspeter Pfister, Ziming Zhang

Figure 1 for White-Box Adversarial Defense via Self-Supervised Data Estimation
Figure 2 for White-Box Adversarial Defense via Self-Supervised Data Estimation
Figure 3 for White-Box Adversarial Defense via Self-Supervised Data Estimation
Figure 4 for White-Box Adversarial Defense via Self-Supervised Data Estimation

  Access Paper or Ask Questions

FDive: Learning Relevance Models using Pattern-based Similarity Measures


Jul 30, 2019
Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch

Figure 1 for FDive: Learning Relevance Models using Pattern-based Similarity Measures
Figure 2 for FDive: Learning Relevance Models using Pattern-based Similarity Measures
Figure 3 for FDive: Learning Relevance Models using Pattern-based Similarity Measures
Figure 4 for FDive: Learning Relevance Models using Pattern-based Similarity Measures
* 12 pages, 7 figures, 2 tables, LaTeX; corrected typo 
  Access Paper or Ask Questions

Visual Interaction with Deep Learning Models through Collaborative Semantic Inference


Jul 24, 2019
Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush

Figure 1 for Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Figure 2 for Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Figure 3 for Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Figure 4 for Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
* IEEE VIS 2019 (VAST) 
  Access Paper or Ask Questions

Fast Mitochondria Segmentation for Connectomics


Dec 14, 2018
Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn

Figure 1 for Fast Mitochondria Segmentation for Connectomics
Figure 2 for Fast Mitochondria Segmentation for Connectomics
Figure 3 for Fast Mitochondria Segmentation for Connectomics
Figure 4 for Fast Mitochondria Segmentation for Connectomics

  Access Paper or Ask Questions

Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets


Oct 25, 2018
Toufiq Parag, Daniel Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister

Figure 1 for Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
Figure 2 for Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
Figure 3 for Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
Figure 4 for Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets

  Access Paper or Ask Questions

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models


Oct 16, 2018
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush

Figure 1 for Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Figure 2 for Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Figure 3 for Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Figure 4 for Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
* VAST - IEEE VIS 2018 
  Access Paper or Ask Questions

Parallel Separable 3D Convolution for Video and Volumetric Data Understanding


Sep 11, 2018
Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister

Figure 1 for Parallel Separable 3D Convolution for Video and Volumetric Data Understanding
Figure 2 for Parallel Separable 3D Convolution for Video and Volumetric Data Understanding
Figure 3 for Parallel Separable 3D Convolution for Video and Volumetric Data Understanding
Figure 4 for Parallel Separable 3D Convolution for Video and Volumetric Data Understanding

  Access Paper or Ask Questions

Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration


Aug 03, 2018
Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C Turaga, Xuewen Zhang, Brian Matejek, Lee Kamentsky, Jeff W. Lichtman, Hanspeter Pfister

Figure 1 for Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
Figure 2 for Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
Figure 3 for Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
Figure 4 for Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration

  Access Paper or Ask Questions

Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics


Jul 27, 2018
Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Fredo Durand

Figure 1 for Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Figure 2 for Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Figure 3 for Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Figure 4 for Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics

  Access Paper or Ask Questions

LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks


Oct 30, 2017
Hendrik Strobelt, Sebastian Gehrmann, Hanspeter Pfister, Alexander M. Rush

Figure 1 for LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Figure 2 for LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Figure 3 for LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Figure 4 for LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
* InfoVis 2017 
  Access Paper or Ask Questions

Understanding Infographics through Textual and Visual Tag Prediction


Sep 26, 2017
Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adria Recasens, Kimberli Zhong, Hanspeter Pfister, Fredo Durand, Aude Oliva

Figure 1 for Understanding Infographics through Textual and Visual Tag Prediction
Figure 2 for Understanding Infographics through Textual and Visual Tag Prediction
Figure 3 for Understanding Infographics through Textual and Visual Tag Prediction
Figure 4 for Understanding Infographics through Textual and Visual Tag Prediction

  Access Paper or Ask Questions

BubbleView: an interface for crowdsourcing image importance maps and tracking visual attention


Aug 09, 2017
Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Fredo Durand, Hanspeter Pfister

Figure 1 for BubbleView: an interface for crowdsourcing image importance maps and tracking visual attention
Figure 2 for BubbleView: an interface for crowdsourcing image importance maps and tracking visual attention
Figure 3 for BubbleView: an interface for crowdsourcing image importance maps and tracking visual attention
Figure 4 for BubbleView: an interface for crowdsourcing image importance maps and tracking visual attention
* TOCHI 2017 
  Access Paper or Ask Questions

Learning Visual Importance for Graphic Designs and Data Visualizations


Aug 08, 2017
Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Fredo Durand, Bryan Russell, Aaron Hertzmann

Figure 1 for Learning Visual Importance for Graphic Designs and Data Visualizations
Figure 2 for Learning Visual Importance for Graphic Designs and Data Visualizations
Figure 3 for Learning Visual Importance for Graphic Designs and Data Visualizations
Figure 4 for Learning Visual Importance for Graphic Designs and Data Visualizations
* UIST 2017 
  Access Paper or Ask Questions

Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking


Jun 12, 2017
James Tompkin, Kwang In Kim, Hanspeter Pfister, Christian Theobalt

Figure 1 for Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking
Figure 2 for Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking
Figure 3 for Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking
Figure 4 for Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking

  Access Paper or Ask Questions

Morphological Error Detection in 3D Segmentations


May 30, 2017
David Rolnick, Yaron Meirovitch, Toufiq Parag, Hanspeter Pfister, Viren Jain, Jeff W. Lichtman, Edward S. Boyden, Nir Shavit

Figure 1 for Morphological Error Detection in 3D Segmentations
Figure 2 for Morphological Error Detection in 3D Segmentations
Figure 3 for Morphological Error Detection in 3D Segmentations
Figure 4 for Morphological Error Detection in 3D Segmentations
* 13 pages, 6 figures 
  Access Paper or Ask Questions

Guided Proofreading of Automatic Segmentations for Connectomics


Apr 04, 2017
Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister

Figure 1 for Guided Proofreading of Automatic Segmentations for Connectomics
Figure 2 for Guided Proofreading of Automatic Segmentations for Connectomics
Figure 3 for Guided Proofreading of Automatic Segmentations for Connectomics
Figure 4 for Guided Proofreading of Automatic Segmentations for Connectomics
* Supplemental material available at http://rhoana.org/guidedproofreading/supplemental.pdf 
  Access Paper or Ask Questions

A Multi-Pass Approach to Large-Scale Connectomics


Dec 07, 2016
Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan, David Budden, David Rolnick, Gergely Odor, Seymour Knowles-Barley, Thouis Raymond Jones, Hanspeter Pfister, Jeff William Lichtman, Nir Shavit

Figure 1 for A Multi-Pass Approach to Large-Scale Connectomics
Figure 2 for A Multi-Pass Approach to Large-Scale Connectomics
Figure 3 for A Multi-Pass Approach to Large-Scale Connectomics
Figure 4 for A Multi-Pass Approach to Large-Scale Connectomics
* 18 pages, 10 figures 
  Access Paper or Ask Questions

RhoanaNet Pipeline: Dense Automatic Neural Annotation


Nov 21, 2016
Seymour Knowles-Barley, Verena Kaynig, Thouis Ray Jones, Alyssa Wilson, Joshua Morgan, Dongil Lee, Daniel Berger, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister

Figure 1 for RhoanaNet Pipeline: Dense Automatic Neural Annotation
Figure 2 for RhoanaNet Pipeline: Dense Automatic Neural Annotation
Figure 3 for RhoanaNet Pipeline: Dense Automatic Neural Annotation
Figure 4 for RhoanaNet Pipeline: Dense Automatic Neural Annotation
* 13 pages, 4 figures 
  Access Paper or Ask Questions

Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures


Oct 27, 2016
Felix Gonda, Verena Kaynig, Ray Thouis, Daniel Haehn, Jeff Lichtman, Toufiq Parag, Hanspeter Pfister

Figure 1 for Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures
Figure 2 for Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures
Figure 3 for Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures
Figure 4 for Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures

  Access Paper or Ask Questions

Context-guided diffusion for label propagation on graphs


Feb 20, 2016
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt

Figure 1 for Context-guided diffusion for label propagation on graphs

  Access Paper or Ask Questions

Semi-supervised Learning with Explicit Relationship Regularization


Feb 11, 2016
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt

Figure 1 for Semi-supervised Learning with Explicit Relationship Regularization
Figure 2 for Semi-supervised Learning with Explicit Relationship Regularization
Figure 3 for Semi-supervised Learning with Explicit Relationship Regularization
Figure 4 for Semi-supervised Learning with Explicit Relationship Regularization
* Accepted version of paper published at CVPR 2015, http://dx.doi.org/10.1109/CVPR.2015.7298831 
  Access Paper or Ask Questions

Local High-order Regularization on Data Manifolds


Feb 11, 2016
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt

Figure 1 for Local High-order Regularization on Data Manifolds
Figure 2 for Local High-order Regularization on Data Manifolds
Figure 3 for Local High-order Regularization on Data Manifolds
Figure 4 for Local High-order Regularization on Data Manifolds
* Accepted version of paper published at CVPR 2015, http://dx.doi.org/10.1109/CVPR.2015.7299186 
  Access Paper or Ask Questions