Publications on Google Scholar

Publications on Semantic Scholar

2017

Inproceedings

Learning Dilation Factors for Semantic Segmentation of Street Scenes

Yang He; Margret Keuper; Bernt Schiele; Mario Fritz

Learning Dilation Factors for Semantic Segmentation of Street Scenes Inproceedings

German Conference on Pattern Recognition (GCPR), 2017, (to appear).

BibTeX | Tags: 2017

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

Yang He; Wei-Chen Chiu; Margret Keuper; Mario Fritz

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, (to appear).

Links | BibTeX | Tags: 2017

A Domain Based Approach to Social Relation Recognition

Qianru Sun; Bernt Schiele; Mario Fritz

A Domain Based Approach to Social Relation Recognition Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, (to appear).

Links | BibTeX | Tags: 2017

Exploiting saliency for object segmentation from image level labels

Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele

Exploiting saliency for object segmentation from image level labels Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, (to appear).

Links | BibTeX | Tags: 2017

Visual Stability Prediction for Robotic Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction for Robotic Manipulation Inproceedings

IEEE International Conference on Robotics and Automation (ICRA), 2017, (to appear).

Links | BibTeX | Tags: 2017

Miscellaneous

Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Miscellaneous

AAAI Spring Symposium Series: Interactive Multi-Sensory Object Perception for Embodied Agents, 2017.

Links | BibTeX | Tags: 2017

Technical Reports

Advanced Steel Microstructure Classification by Deep Learning Methods

Seyed Majid Azimi; Dominik Britz; Michael Engstler; Mario Fritz; Frank Muecklich

Advanced Steel Microstructure Classification by Deep Learning Methods Technical Report

arXiv:1706.06480 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

Visual Decoding of Targets During Visual Search From Human Eye Fixations

Hosnieh Sattar; Mario Fritz; Andreas Bulling

Visual Decoding of Targets During Visual Search From Human Eye Fixations Technical Report

arXiv:1706.05993 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Technical Report

arXiv:1703.10660 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Rakshith Shetty; Marcus Rohrbach; Lisa Anne Hendricks; Mario Fritz; Bernt Schiele

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Technical Report

arXiv:1703.10476 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

Seong Joon Oh; Mario Fritz; Bernt Schiele

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Technical Report

arXiv:1703.09471 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

Exploiting saliency for object segmentation from image level labels

Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele

Exploiting saliency for object segmentation from image level labels Technical Report

arXiv:1701.08261 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

2016

Journal Articles

Novel Views of Objects from a Single Image

Konstantinos Rematas; Chuong Nguyen; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars

Novel Views of Objects from a Single Image Journal Article

Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016, (to appear).

Links | BibTeX | Tags: 2016

Inproceedings

Faceless Person Recognition; Privacy Implications in Social Media

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Faceless Person Recognition; Privacy Implications in Social Media Inproceedings

European Conference on Computer Vision (ECCV), 2016, (to appear).

Links | BibTeX | Tags: 2016

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

Abhishek Sharma; Oliver Grau; Mario Fritz

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Inproceedings

Geometry Meets Deep Learning Workshop at European Conference on Computer Vision (ECCV-W), 2016.

Links | BibTeX | Tags: 2016

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles

Wei-Chen Chiu; Fabio Galasso; Mario Fritz

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles Inproceedings

Asian Conference on Computer Vision (ACCV), 2016, (to appear).

Links | BibTeX | Tags: 2016

Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task

Ashkan Mokarian; Mateusz Malinowski; Mario Fritz

Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task Inproceedings

British Machine Vision Conference (BMVC), 2016, (to appear).

Links | BibTeX | Tags: 2016

Deep Reflectance Maps

Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars

Deep Reflectance Maps Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Links | BibTeX | Tags: 2016

Multi-Cue Zero-Shot Learning with Strong Supervision

Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele

Multi-Cue Zero-Shot Learning with Strong Supervision Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Links | BibTeX | Tags: 2016

I-Pic: A Platform for Privacy-Compliant Image Capture

Paarijaat Aditya; Rijurekha Sen; Seong Joon Oh; Rodrigo Benenson; Bobby Bhattacharjee; Peter Druschel; Tongtong Wu; Mario Fritz; Bernt Schiele

I-Pic: A Platform for Privacy-Compliant Image Capture Inproceedings

The 14th International Conference on Mobile Systems, Applications, and Services (MobiSys'16), Singapore, 2016.

Links | BibTeX | Tags: 2016

Learning to Select Long Track Features for  Structure-From-Motion & Visual SLAM

Jonas Scheer; Mario Fritz; Oliver Grau

Learning to Select Long Track Features for Structure-From-Motion & Visual SLAM Inproceedings

German Conference on Pattern Recognition (GCPR), 2016.

BibTeX | Tags: 2016

Contextual Media Retrieval Using Natural Language Queries

Sreyasi Nag Chowdhury; Mateusz Malinowski; Andreas Bulling; Mario Fritz

Contextual Media Retrieval Using Natural Language Queries Inproceedings

ACM International Conference on Multimedia Retrieval (ICMR), 2016, (to appear).

Links | BibTeX | Tags: 2016

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space

Wenbin Li; Mario Fritz

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Inproceedings

IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

Links | BibTeX | Tags: 2016

Miscellaneous

Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Miscellaneous

NIPS Workshop on Intuitive Physics, 2016.

Links | BibTeX | Tags: 2016

Long Term Boundary Extrapolation for Deterministic Motion

Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz

Long Term Boundary Extrapolation for Deterministic Motion Miscellaneous

NIPS Workshop on Intuitive Physics, 2016.

Links | BibTeX | Tags: 2016

Faceless Person Recognition; Privacy Implications in Social Media

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Faceless Person Recognition; Privacy Implications in Social Media Miscellaneous

4th Workshop on Web-scale Vision and Social Media (VSM), ECCV'16, 2016.

Links | BibTeX | Tags: 2016

Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation

Mateusz Malinowski; Mario Fritz

Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation Miscellaneous

VQA Challenge Workshop at CVPR, 2016.

Abstract | Links | BibTeX | Tags: 2016

PhD Theses

Bayesian Non-Parametrics for Multi-Modal Segmentation

Wei-Chen Chiu

Bayesian Non-Parametrics for Multi-Modal Segmentation PhD Thesis

2016.

Links | BibTeX | Tags: 2016

Technical Reports

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

Hosnieh Sattar; Andreas Bulling; Mario Fritz

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Technical Report

arXiv:1611.10162 [cs.CV], 2016.

Links | BibTeX | Tags: 2016, 2017

Long-Term Image Boundary Extrapolation

Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz

Long-Term Image Boundary Extrapolation Technical Report

arXiv:1611.08841 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Natural Illumination from Multiple Materials Using Deep Learning

Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars; Luc Van Gool

Natural Illumination from Multiple Materials Using Deep Learning Technical Report

arXiv:1611.09325 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation Technical Report

arXiv:1611.08860 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Tutorial on Answering Questions about Images with Deep Learning

Mateusz Malinowski; Mario Fritz

Tutorial on Answering Questions about Images with Deep Learning Technical Report

arXiv:1610.01076 [cs.CV], 2016, (Tutorial given at 2nd Summer School on Integrating Vision and Language: Deep Learning).

Links | BibTeX | Tags: 2016

Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Technical Report

arXiv:1609.04861 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Spatio-Temporal Image Boundary Extrapolation

Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz

Spatio-Temporal Image Boundary Extrapolation Technical Report

arXiv:1605.07363 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering Technical Report

2016.

Links | BibTeX | Tags: 2016

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

Abhishek Sharma; Oliver Grau; Mario Fritz

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Technical Report

arXiv:1604.03755 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

Yang He; Wei-Chen Chiu; Margret Keuper; Mario Fritz

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Technical Report

arXiv:1604.02388 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction

Wenbin Li; Seyedmajid Azimi; Ales Leonardis; Mario Fritz

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction Technical Report

arXiv:1604.00066 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination

Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Luc Van Gool; Tinne Tuytelaars

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination Technical Report

arXiv:1602.00328 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Multi-Cue Zero-Shot Learning with Strong Supervision

Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele

Multi-Cue Zero-Shot Learning with Strong Supervision Technical Report

arXiv:1603.08754 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Novel Views of Objects from a Single Image

Konstantinos Rematas; Chuong Nguyen; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars

Novel Views of Objects from a Single Image Technical Report

arXiv:1602.00328 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Contextual Media Retrieval Using Natural Language Queries

Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz

Contextual Media Retrieval Using Natural Language Queries Technical Report

arXiv:1602.04983 [cs.IR], 2016.

Links | BibTeX | Tags: 2016

2015

Journal Articles

Learning to detect visual grasp affordance

Hyun Oh Song; Mario Fritz; Daniel Goehring; Trevor Darrell

Learning to detect visual grasp affordance Journal Article

IEEE Transactions on Automation Science and Engineering (TASE), 2015.

Links | BibTeX | Tags: 2015

Inproceedings

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2015, (oral, to appear).

Links | BibTeX | Tags: 2015

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu; Mario Fritz

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2015, (to appear).

Links | BibTeX | Tags: 2015

Person Recognition in Personal Photo Collections

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Person Recognition in Personal Photo Collections Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2015, (to appear).

Links | BibTeX | Tags: 2015

Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors

Wenbin Li; Mario Fritz

Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors Inproceedings

IEEE RAS International Conference on Humanoid Robots (HUMANOIDS), 2015, (to appear).

Links | BibTeX | Tags: 2015

 Appearance-based gaze estimation in the wild

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

Appearance-based gaze estimation in the wild Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Links | BibTeX | Tags: 2015

Prediction of search targets from fixations in open-world settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of search targets from fixations in open-world settings Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Links | BibTeX | Tags: 2015

Joint Segmentation and Activity Discovery using Semantic and Temporal Priors

Julia Seiter; Wei-Chen Chiu; Mario Fritz; Oliver Amft; Gerhard Troester

Joint Segmentation and Activity Discovery using Semantic and Temporal Priors Inproceedings

IEEE Internation Conference on Pervasive Computing and Communication (PERCOM), 2015.

Links | BibTeX | Tags: 2014

Hard to Cheat: A Turing Test based on Answering Questions about Images

Mateusz Malinowski; Mario Fritz

Hard to Cheat: A Turing Test based on Answering Questions about Images Inproceedings

AAAI Workshop Beyond The Turing Test, 2015.

Links | BibTeX | Tags: 2015

Masters Theses

Contextual Media Retrieval Using Natural Language Queries

Sreyasi Nag Chowdhury

Contextual Media Retrieval Using Natural Language Queries Masters Thesis

Saarland University, 2015.

BibTeX | Tags: 2015

Miscellaneous

Bridging the Gap Between Synthetic and Real Data

Mario Fritz

Bridging the Gap Between Synthetic and Real Data Miscellaneous

Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152), 2015, (to appear).

Links | BibTeX | Tags: 2015

Technical Reports

Deep Reflectance Maps

Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars

Deep Reflectance Maps Technical Report

arXiv:1511.04384 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

Person Recognition in Personal Photo Collections

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Person Recognition in Personal Photo Collections Technical Report

arXiv:1509.03502 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

 Appearance-based gaze estimation in the wild

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

Appearance-based gaze estimation in the wild Technical Report

arXiv:1504.02863, 2015.

Links | BibTeX | Tags: 2015

Prediction of search targets from fixations in open-world settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of search targets from fixations in open-world settings Technical Report

arXiv:1502.05137 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Technical Report

arXiv:1505.01121, 2015.

Links | BibTeX | Tags: 2015

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu; Mario Fritz

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Technical Report

arXiv:1505.00663 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

GazeDPM: Early Integration of Gaze Information in Deformable Part Models

Iaroslav Shcherbatyi; Andreas Bulling; Mario Fritz

GazeDPM: Early Integration of Gaze Information in Deformable Part Models Technical Report

arXiv:1505.05753 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

2014

Inproceedings

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input

Mateusz Malinowski; Mario Fritz

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input Inproceedings

Neural Information Processing Systems (NIPS), 2014.

Links | BibTeX | Tags: 2014

Anytime Recognition of Objects and Scenes

Sergey Karayev; Mario Fritz; Trevor Darrell

Anytime Recognition of Objects and Scenes Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).

Links | BibTeX | Tags: 2014

Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models

Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars

Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).

Links | BibTeX | Tags: 2014

Towards a Visual Turing Challenge

Mateusz Malinowski; Mario Fritz

Towards a Visual Turing Challenge Inproceedings

NIPS Workshop on Learning Semantics, 2014.

Links | BibTeX | Tags: 2014

Object Disambiguation for Augmented Reality Applications

Wei-Chen Chiu; Gregory S. Johnson; Daniel Mcculley; Oliver Grau; Mario Fritz

Object Disambiguation for Augmented Reality Applications Inproceedings

British Machine Vision Conference (BMVC), 2014.

Links | BibTeX | Tags: 2014

Ubic: Bridging the Gap Between Digital Cryptography and the Physical World

Mark Simkin; Dominique Schröder; Andreas Bulling; Mario Fritz

Ubic: Bridging the Gap Between Digital Cryptography and the Physical World Inproceedings

European Symposium on Research in Computer Security (ESORICS), 2014.

Links | BibTeX | Tags: 2014

Scene Segmentation in Adverse Vision Conditions

Evgeny Levinkov

Scene Segmentation in Adverse Vision Conditions Inproceedings

Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 2014.

Links | BibTeX | Tags: 2014

Learning Multi-Scale Representations for Material Classification

Wenbin Li

Learning Multi-Scale Representations for Material Classification Inproceedings

Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 2014.

Links | BibTeX | Tags: 2014

Technical Reports

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation

Mateusz Malinowski; Mario Fritz

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation Technical Report

arXiv:1411.5190 [cs.CV], 2014.

Links | BibTeX | Tags: 2014

Learning Multi-Scale Representations for Material Classification

Wenbin Li; Mario Fritz

Learning Multi-Scale Representations for Material Classification Technical Report

arXiv:1408.2938 [cs.CV], 2014.

Links | BibTeX | Tags: 2014

Ubic: Bridging the gap between digital cryptography and the physical  world

Mark Simkin; Andreas Bulling; Mario Fritz; Dominique Schroeder

Ubic: Bridging the gap between digital cryptography and the physical world Technical Report

arXiv:1403.1343 [cs.CR], 2014.

Links | BibTeX | Tags: 2014, google glass, ubic, ubici

2013

Incollections

A Category-Level 3D Object Dataset: Putting the Kinect to Work

Allison Janoch; Sergey Karayev ; Yangqing Jia; Jonathan T. Barron ; Mario Fritz; Kate Saenko; Trevor Darrell

A Category-Level 3D Object Dataset: Putting the Kinect to Work Incollection

Fossati, Andrea ; Gall, Juergen ; Grabner, Helmut ; Ren, Xiaofeng ; Konolige, Kurt (Ed.): Consumer Depth Cameras for Computer Vision, Springer London, 2013.

Links | BibTeX | Tags: b3do

Inproceedings

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling

Evgeny Levinkov; Mario Fritz

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2013.

Links | BibTeX | Tags: 2013, bayesian, iccv

Learning Smooth Pooling Regions for Visual Recognition

Mateusz Malinowski; Mario Fritz

Learning Smooth Pooling Regions for Visual Recognition Inproceedings

British Machine Vision Conference (BMVC), 2013.

Links | BibTeX | Tags: 2013, bmvc, mateusz

Dynamic Feature Selection for Classification on a Budget

Sergey Karayev; Mario Fritz; Trevor Darrell

Dynamic Feature Selection for Classification on a Budget Inproceedings

ICML Workshop on Prediction with Sequential Models, 2013.

Links | BibTeX | Tags: 2013

Multi-Class Video Co-Segmentation with a Generative Multi-Video Model

Wei-Chen Chiu; Mario Fritz

Multi-Class Video Co-Segmentation with a Generative Multi-Video Model Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

Links | BibTeX | Tags:

Masters Theses

 Scene Segmentation in Adverse Vision Conditions

Evgeny Levinkov

Scene Segmentation in Adverse Vision Conditions Masters Thesis

Saarland University, 2013.

Links | BibTeX | Tags: 2013

Multi-Scale Feature Learning for Material Recognition

Wenbin Li

Multi-Scale Feature Learning for Material Recognition Masters Thesis

Saarland University, 2013.

BibTeX | Tags: 2013

Technical Reports

Learnable Pooling Regions for Image Classification

Mateusz Malinowski; Mario Fritz

Learnable Pooling Regions for Image Classification Technical Report

arXiv:1301.3516 [cs.CV], , 2013, (Workshop at International Conference on Learning Representations).

Links | BibTeX | Tags: 2013, iclr, mateusz

2012

Journal Articles

A Geometric Approach To Robotic Laundry Folding

Stephen Miller; Jur van den Berg; Mario Fritz; Trevor Darrell; Ken Goldberg; Pieter Abbeel

A Geometric Approach To Robotic Laundry Folding Journal Article

International Journal of Robotics Research (IJRR), 2012.

Links | BibTeX | Tags:

Inproceedings

Kernel Density Topic Models: Visual Topics Without Visual Words

Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars

Kernel Density Topic Models: Visual Topics Without Visual Words Inproceedings

NIPS Workshop Modern Non-Parametric Methods in Machine Learning, 2012.

Links | BibTeX | Tags: 2013

Active Metric Learning for Object Recognition

Sandra Ebert; Mario Fritz; Bernt Schiele

Active Metric Learning for Object Recognition Inproceedings

DAGM/OAGM Symposium, 2012.

Links | BibTeX | Tags:

Semi-Supervised Learning on a Budget: Scaling up to Large Datasets

Sandra Ebert; Mario Fritz; Bernt Schiele

Semi-Supervised Learning on a Budget: Scaling up to Large Datasets Inproceedings

Asian Conference on Computer Vision (ACCV), 2012.

Links | BibTeX | Tags:

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image

Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image Inproceedings

Asian Conference on Computer Vision (ACCV), 2012.

Links | BibTeX | Tags:

Timely Object Recognition

Sergey Karayev; Tobias Baumgartner; Mario Fritz; Trevor Darrell

Timely Object Recognition Inproceedings

Advances in Neural Information Processing Systems (NIPS), 2012.

Links | BibTeX | Tags:

Sparselet Models for Efficient Multiclass Object Detection

Hyun Oh Song; Stefan Zickler; Tim Althoff; Ross Girshick; Mario Fritz; Christopher Geyer; Pedro Felzenszwalb; Trevor Darrell

Sparselet Models for Efficient Multiclass Object Detection Inproceedings

European Conference on Computer Vision (ECCV), 2012.

Links | BibTeX | Tags:

Recognizing Materials from Virtual Examples

Wenbin Li; Mario Fritz

Recognizing Materials from Virtual Examples Inproceedings

European Conference on Computer Vision (ECCV), 2012.

Links | BibTeX | Tags:

RALF: A Reinforced Active Learning Formulation for Object Class Recognition

Sandra Ebert; Mario Fritz; Schiele

RALF: A Reinforced Active Learning Formulation for Object Class Recognition Inproceedings

IEEE Computer Vision and Pattern Recognition (CVPR), 2012.

Links | BibTeX | Tags:

2011

Inproceedings

Parameterized Shape Models for Clothing

Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel

Parameterized Shape Models for Clothing Inproceedings

IEEE International Conference on Robotics and Automation (ICRA), 2011.

Links | BibTeX | Tags:

A Probabilistic Model for Recursive Factorized Image Features

Sergey Karayev; Mario Fritz; Sanja Fidler; Trevor Darrell

A Probabilistic Model for Recursive Factorized Image Features Inproceedings

IEEE Computer Vision and Pattern Recognition (CVPR), 2011.

Links | BibTeX | Tags:

Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation

Sandra Ebert; Mario Fritz; Bernt Schiele

Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation Inproceedings

Pattern Recognition, DAGM Symposium, 2011.

Links | BibTeX | Tags:

Improving the Kinect by Cross-Modal Stereo

Wei-Chen Chiu; Ulf Blanke; Mario Fritz

Improving the Kinect by Cross-Modal Stereo Inproceedings

British Machine Vision Conference (BMVC), 2011.

Links | BibTeX | Tags:

Practical 3-D Object Detection Using Category and Instance-level Appearance Models

Kate Saenko; Sergey Karayev; Yangqing Yia; Alex Shyr; Allie Janoch; Jonathan Long; Mario Fritz; Trevor Darrell

Practical 3-D Object Detection Using Category and Instance-level Appearance Models Inproceedings

IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.

Links | BibTeX | Tags:

Perception for the Manipulation of Socks

Ping Chuan Wang; Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel

Perception for the Manipulation of Socks Inproceedings

IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.

Links | BibTeX | Tags:

The NBNN kernel

Tinne Tuytelaars; Mario Fritz; Kate Saenko; Trevor Darrell

The NBNN kernel Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2011.

Links | BibTeX | Tags:

I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns

Wei-Chen Chiu; Ulf Blanke; Mario Fritz

I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns Inproceedings

IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.

Links | BibTeX | Tags:

Visual Grasp Affordances From Appearance-Based Cues

Hyun Oh Song; Mario Fritz; Chunhui Gu; Trevor Darrell

Visual Grasp Affordances From Appearance-Based Cues Inproceedings

IEEE Workshop on Challenges and Opportunities in Robot Perception, 2011.

Links | BibTeX | Tags:

A Category-Level 3-D Object Dataset: Putting the Kinect to Work

Allison Janoch; Sergey Karayev; Yangqing Jia; Jonathan T. Barron; Mario Fritz; Kate Saenko; Trevor Darrell

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Inproceedings

IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.

Links | BibTeX | Tags:

Masters Theses

Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study

Mateusz Malinowski

Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study Masters Thesis

Saarland University, 2011.

Links | BibTeX | Tags: mateusz, mri, optimization

2010

Journal Articles

Tutor-based learning of visual categories using different levels of supervision

Mario Fritz; Geert-Jan M. Kruijff; Bernt Schiele

Tutor-based learning of visual categories using different levels of supervision Journal Article

Computer Vision and Image Understanding, 114 , pp. 564–573, 2010, ISSN: 1077-3142.

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Classifying materials in the real world

Barbara Caputo; Hayman, Eric; Mario Fritz; Eklundh, Jan-Olof

Classifying materials in the real world Journal Article

Image and Vision Computing, 28 , pp. 150–163, 2010, ISSN: 0262-8856.

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Incollections

Categorical Perception

Mario Fritz; Mykhaylo Andriluka; Sanja Fidler; Michael Stark; Ales Leonardis; Bernt Schiele

Categorical Perception Incollection

Cognitive Systems, Springer, 2010.

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Multi-Modal Learning

Danijel Skocaj; Matej Kristan; Alen Vrecko; Ales Leonardis; Mario Fritz; Michael Stark; Bernt Schiele; Somboon Hongeng; Jeremy L. Wyatt

Multi-Modal Learning Incollection

Cognitive Systems, Springer, 2010.

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Size Matters: Metric Visual Search Constraints from Monocular Metadata

Mario Fritz; Kate Saenko; Trevor Darrell

Size Matters: Metric Visual Search Constraints from Monocular Metadata Incollection

Advances in Neural Information Processing Systems (NIPS), 2010.

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Inproceedings

Adapting visual category models to new domains

Kate Saenko; Brian Kulis; Mario Fritz; Trevor Darrell

Adapting visual category models to new domains Inproceedings

European Conference on Computer Vision (ECCV), 2010.

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2009

Incollections

Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories

Mario Fritz; Bernt Schiele

Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories Incollection

Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press, 2009.

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Inproceedings

Discriminative Structure Learning of Hierarchical Representations for Object Detection

Paul Schnitzspan; Mario Fritz; Stefan Roth; Bernt Schiele

Discriminative Structure Learning of Hierarchical Representations for Object Detection Inproceedings

IEEE Computer Vision and Pattern Recognition (CVPR), 2009.

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An Additive Latent Feature Model for Transparent Object Recognition

Mario Fritz; Michael Black; Gary Bradski; Sergey Karayev; Trevor Darrell

An Additive Latent Feature Model for Transparent Object Recognition Inproceedings

Advances in Neural Information Processing Systems (NIPS), 2009, ((oral)).

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PhD Theses

Modeling, Representing and Learning of Visual Categories

Mario Fritz

Modeling, Representing and Learning of Visual Categories PhD Thesis

TU Darmstadt, 2009.

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Proceedings

Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, October 13-15, 2009, Proceedings

Mario Fritz; Bernt Schiele; Justus H. Piater (Ed.)

Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, October 13-15, 2009, Proceedings Proceeding

Springer, 5815 , 2009, ISBN: 978-3-642-04666-7.

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2008

Inproceedings

Discovery of activity patterns using topic models

Tam Huynh; Mario Fritz; Bernt Schiele

Discovery of activity patterns using topic models Inproceedings

International Conference on Ubiquitous computing (UbiComp), 2008.

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Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features

Paul Schnitzspan; Mario Fritz; Bernt Schiele

Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features Inproceedings

European Conference on Computer Vision (ECCV), 2008.

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Decomposition, Discovery and Detection of Visual Categories Using Topic Models

Mario Fritz; Bernt Schiele

Decomposition, Discovery and Detection of Visual Categories Using Topic Models Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

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2007

Inproceedings

Towards Robust Pedestrian Detection in Crowded Image Sequences

Edgar Seemann; Mario Fritz; Bernt Schiele

Towards Robust Pedestrian Detection in Crowded Image Sequences Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

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Cross-Modal Learning of Visual Categories using Different Levels of Supervision

Mario Fritz; Geert-Jan Kruijff; Bernt Schiele

Cross-Modal Learning of Visual Categories using Different Levels of Supervision Inproceedings

International Conference on Vision Systems (ICVS), 2007.

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2006

Inproceedings

The 2005 PASCAL Visual Object Classes Challenge

Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; Olivier Chapelle; Navneet Dalal; Thomas Deselaers; Gyuri Dork'o; Stefan Duffner; Jan Eichhorn; Jason D. R. Farquhar; Mario Fritz; Christophe Garcia; Tom Griffiths; Fr'ed'eric Jurie; Thomas Keysers; Markus Koskela; Jorma Laaksonen; Larlus, Diane; Bastian Leibe; Hongying Meng; Hermann Ney; Bernt Schiele; Corde

The 2005 PASCAL Visual Object Classes Challenge Inproceedings

Selected Proceedings of the first PASCAL Challenges Workshop, 2006.

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Towards Unsupervised Discovery of Visual Categories

Mario Fritz; Bernt Schiele

Towards Unsupervised Discovery of Visual Categories Inproceedings

Pattern Recognition, DAGM Symposium, 2006.

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2005

Inproceedings

Integrating Representative and Discriminant Models for Object Category Detection

Mario Fritz; Bastian Leibe; Barbara Caputo; Bernt Schiele

Integrating Representative and Discriminant Models for Object Category Detection Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2005.

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2004

Inproceedings

On the Significance of Real-World Conditions for Material Classification

Hayman, Eric; Barbara Caputo; Mario Fritz; Eklundh, Jan-Olof

On the Significance of Real-World Conditions for Material Classification Inproceedings

European Conference on Computer Vision (ECCV), 2004.

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Categorization by Local Information Using Support Vector Machines

Mario Fritz

Categorization by Local Information Using Support Vector Machines

2004.

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2002

Inproceedings

Object Tracking and Pose Estimation Using Light-Field Object Models

Matthias Zobel; Mario Fritz; Ingo Scholz

Object Tracking and Pose Estimation Using Light-Field Object Models Inproceedings

Vision, Modeling, and Visualization Conference (VMV), 2002.

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Miscellaneous

3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields)

Mario Fritz

3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields) Miscellaneous

2002, (student thesis).

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