B. Schiele

发表

Computer vision -- ECCV 2014 : 13th European conference Zurich, Switzerland, September 6-12, 2014 : proceedings

David J. Fleet, T. Pajdla, B. Schiele, 2014 .

Combined Object Categorization and Segmentation With an Implicit Shape Model

B. Schiele, B. Leibe, A. Leonardis, 2004 .

Monocular 3D pose estimation and tracking by detection

Bernt Schiele, Stefan Roth, Mykhaylo Andriluka, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Multi-cue onboard pedestrian detection

B. Schiele, C. Wojek, S. Walk, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

How Far are We from Solving Pedestrian Detection?

B. Schiele, Shanshan Zhang, Rodrigo Benenson, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Object Recognition Using Multidimensional Receptive Field Histograms

Bernt Schiele, James L. Crowley, B. Schiele, 1996, ECCV.

The Robustness of Object Recognition to Rotation using Multidimensional Receptive Field Histograms

B. Schiele, J. Crowley, 1996 .

Probabilistic object recognition using multidimensional receptive field histograms

Bernt Schiele, James L. Crowley, B. Schiele, 1996, Proceedings of 13th International Conference on Pattern Recognition.

How good are detection proposals, really? pdf

Bernt Schiele, Rodrigo Benenson, Jan Hendrik Hosang, 2014, BMVC.

Recognition without Correspondence using Multidimensional Receptive Field Histograms

Bernt Schiele, James L. Crowley, B. Schiele, 2004, International Journal of Computer Vision.

A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis

Thomas Brox, Bernt Schiele, Fabio Galasso, 2013, 2013 IEEE International Conference on Computer Vision.

Pedestrian Detection: An Evaluation of the State of the Art

Pietro Perona, Bernt Schiele, Christian Wojek, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation

Thomas Brox, Bernt Schiele, Margret Keuper, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

The 2005 PASCAL Visual Object Classes Challenge

Cordelia Schmid, Jorma Laaksonen, Luc Van Gool, 2005, MLCW.

A database for fine grained activity detection of cooking activities

Bernt Schiele, Marcus Rohrbach, Sikandar Amin, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Fast and Robust Face Finding via Local Context

B. Schiele, H. Kruppa, M. C. Santana, 2003 .

Pictorial structures revisited: People detection and articulated pose estimation

Bernt Schiele, Stefan Roth, Mykhaylo Andriluka, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Robust Object Detection with Interleaved Categorization and Segmentation

Bernt Schiele, Ales Leonardis, Bastian Leibe, 2008, International Journal of Computer Vision.

Integrating representative and discriminant models for object category detection

Bernt Schiele, Mario Fritz, Barbara Caputo, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes

Bernt Schiele, Christian Wojek, B. Schiele, 2008, ECCV.

Decomposition, discovery and detection of visual categories using topic models

Bernt Schiele, Mario Fritz, Mario Fritz, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Towards Multi-View Object Class Detection

Luc Van Gool, Bernt Schiele, Tinne Tuytelaars, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Pedestrian detection: A benchmark

Pietro Perona, Bernt Schiele, Christian Wojek, 2009, CVPR.

Multiple Object Class Detection with a Generative Model

Bernt Schiele, Krystian Mikolajczyk, Bastian Leibe, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Pedestrian detection in crowded scenes

Bernt Schiele, Bastian Leibe, Edgar Seemann, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Teaching 3D geometry to deformable part models

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Interleaved Object Categorization and Segmentation

B. Schiele, B. Leibe, B. Schiele, 2003, BMVC.

Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning

Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang, 2018 .

A dataset for Movie Description

Bernt Schiele, Marcus Rohrbach, Anna Rohrbach, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-cue pedestrian classification with partial occlusion handling

Dariu Gavrila, Bernt Schiele, Markus Enzweiler, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

A Semantic Typicality Measure for Natural Scene Categorization

Bernt Schiele, Julia Vogel, B. Schiele, 2004, DAGM-Symposium.

Pictorial structures revisited: People detection and articulated pose estimation

Bernt Schiele, Stefan Roth, Mykhaylo Andriluka, 2009, CVPR.

Sliding-Windows for Rapid Object Class Localization: A Parallel Technique

Bernt Schiele, Christian Wojek, Gyuri Dorkó, 2008, DAGM-Symposium.

Analyzing appearance and contour based methods for object categorization

Bernt Schiele, Bastian Leibe, B. Schiele, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

New features and insights for pedestrian detection

Bernt Schiele, Stefan Walk, Konrad Schindler, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Generative Adversarial Text to Image Synthesis

Bernt Schiele, Honglak Lee, Zeynep Akata, 2016, ICML.

An Evaluation of Local Shape-Based Features for Pedestrian Detection

Bernt Schiele, Krystian Mikolajczyk, Bastian Leibe, 2005, BMVC.

International Journal of Computer Vision manuscript No. (will be inserted by the editor) Semantic Modeling of Natural Scenes for Content-Based Image Retrieval

Bernt Schiele, Julia Vogel, B. Schiele, 2022 .

The Cityscapes Dataset for Semantic Urban Scene Understanding

Sebastian Ramos, Bernt Schiele, Rodrigo Benenson, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Generating Visual Explanations

Trevor Darrell, Bernt Schiele, Marcus Rohrbach, 2016, ECCV.

A Performance Evaluation of Single and Multi-feature People Detection

Bernt Schiele, Christian Wojek, B. Schiele, 2008, DAGM-Symposium.

Movie Description

Christopher Joseph Pal, Bernt Schiele, Marcus Rohrbach, 2016, International Journal of Computer Vision.

A shape-based object class model for knowledge transfer

Michael Goesele, Bernt Schiele, Michael Stark, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Learning People Detectors for Tracking in Crowded Scenes

Bernt Schiele, Konrad Schindler, Anton Milan, 2013, 2013 IEEE International Conference on Computer Vision.

Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes

Bernt Schiele, Stefan Walk, Konrad Schindler, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-view Pictorial Structures for 3D Human Pose Estimation

Bernt Schiele, Marcus Rohrbach, Sikandar Amin, 2013, BMVC.

Hierarchical Combination of Object Models using Mutual Information

Bernt Schiele, Hannes Kruppa, B. Schiele, 2001, BMVC.

Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data

Bernt Schiele, Marcus Rohrbach, Manfred Pinkal, 2015, International Journal of Computer Vision.

Transfer Learning in a Transductive Setting

Bernt Schiele, Marcus Rohrbach, Sandra Ebert, 2013, NIPS.

Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation

Matthijs Douze, Bernt Schiele, Yongqin Xian, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Object Recognition Using Multidimensional Receptive Field Histograms and its Robustness to View Point Changes

B. Schiele, J. Crowley, 1995 .

Poselet Conditioned Pictorial Structures

Peter V. Gehler, Bernt Schiele, Mykhaylo Andriluka, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

People-tracking-by-detection and people-detection-by-tracking

Stefan Roth, Bernt Schiele, Mykhaylo Andriluka, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Back to the Future: Learning Shape Models from 3D CAD Data

Michael Goesele, Bernt Schiele, Michael Stark, 2010, BMVC.

Multi-cue onboard pedestrian detection

Bernt Schiele, Stefan Walk, Christian Wojek, 2009, CVPR.

Analyzing contour and appearance based methods for object categorization

Bernt Schiele, Bastian Leibe, B. Schiele, 2003, CVPR 2003.

Video Segmentation with Superpixels

Bernt Schiele, Roberto Cipolla, Fabio Galasso, 2012, ACCV.

What helps where – and why? Semantic relatedness for knowledge transfer

Bernt Schiele, Iryna Gurevych, Marcus Rohrbach, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Evaluation of output embeddings for fine-grained image classification

Bernt Schiele, Honglak Lee, Zeynep Akata, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Comprehensive Colour Image Normalization

Bernt Schiele, James L. Crowley, Graham D. Finlayson, 1998, ECCV.

Visual contextual awareness in wearable computing

Alex Pentland, Bernt Schiele, Thad Starner, 1998, Digest of Papers. Second International Symposium on Wearable Computers (Cat. No.98EX215).

Better Rescue Through Sensors

Florian Michahelles, Bernt Schiele, B. Schiele, 2002 .

Interleaving Object Categorization and Segmentation

Bernt Schiele, Bastian Leibe, B. Schiele, 2006, Cognitive Vision Systems.

Towards Robust Pedestrian Detection in Crowded Image Sequences

Bernt Schiele, Mario Fritz, Edgar Seemann, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo

Bernt Schiele, Stefan Walk, Konrad Schindler, 2010, ECCV.

Occlusion Patterns for Object Class Detection

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Strong Appearance and Expressive Spatial Models for Human Pose Estimation

Peter V. Gehler, Bernt Schiele, Mykhaylo Andriluka, 2013, 2013 IEEE International Conference on Computer Vision.

NightOwls: A Pedestrians at Night Dataset

Michelle Karg, Bernt Schiele, Andrew Zisserman, 2018, ACCV.

An Analysis of Sensor-Oriented vs. Model-Based Activity Recognition

Bernt Schiele, Andreas Zinnen, Ulf Blanke, 2009, 2009 International Symposium on Wearable Computers.

Articulated people detection and pose estimation: Reshaping the future

Bernt Schiele, Thorsten Thormählen, Arjun Jain, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Natural and Effective Obfuscation by Head Inpainting Supplementary Materials

Seong Joon Oh, Mario Fritz, B. Schiele, 2018 .

Object Categorization: Computer and Human Vision Perspectives

Sven J. Dickinson, Bernt Schiele, Sven Dickinson, 2009 .

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

Bernt Schiele, Mario Fritz, Marcus Rohrbach, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Trevor Darrell, Bernt Schiele, Marcus Rohrbach, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

The Robustness of Object Recognition to View Point Changes Using Multidimensional Receptive Field Histograms

Bernt Schiele, James L. Crowley, B. Schiele, 1996 .

2D Human Pose Estimation: New Benchmark and State of the Art Analysis

Bernt Schiele, Mykhaylo Andriluka, Leonid Pishchulin, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering

Bernt Schiele, Matthias Hein, Anna Khoreva, 2014, GCPR.

A Research Roadmap of Cognitive Vision

Sven J. Dickinson, B. Schiele, P. Auer, 2005 .

Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning

Bernt Schiele, Maja Stikic, B. Schiele, 2009, LoCA.

Analyzing non-negative matrix factorization for image classification

Jordi Vitrià, Bernt Schiele, David Guillamet, 2002, Object recognition supported by user interaction for service robots.

RALF: A reinforced active learning formulation for object class recognition

Bernt Schiele, Mario Fritz, Sandra Ebert, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Introducing a weighted non-negative matrix factorization for image classification

Bernt Schiele, David Guillamet, J. Vitria, 2003, Pattern Recognit. Lett..

All for one or one for all? Combining heterogeneous features for activity spotting

Paul Lukowicz, Bernt Schiele, Bernhard Sick, 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

Using Local Context To Improve Face Detection

Bernt Schiele, Hannes Kruppa, B. Schiele, 2003, BMVC.

Top-k Multiclass SVM

Bernt Schiele, Matthias Hein, Maksim Lapin, 2015, NIPS.

Local features for object class recognition

Bernt Schiele, Krystian Mikolajczyk, Bastian Leibe, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Natural Scene Retrieval Based on a Semantic Modeling Step

Bernt Schiele, Julia Vogel, B. Schiele, 2004, CIVR.

Faceless Person Recognition: Privacy Implications in Social Media pdf

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2016, ECCV.

Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning

Seong Joon Oh, Mario Fritz, B. Schiele, 2018, 1805.05838.

Attributes make sense on segmented objects

B. Schiele, T. Tuytelaars, Li, 2014 .

UvA-DARE (Digital Academic Repository) Attributes Make Sense on Segmented Objects Attributes make sense on segmented objects

T. Pajdla, B. Schiele, T. Tuytelaars, 2014 .

Chapter 2 Where Next in Object Recognition and how much Supervision Do We Need ?

B. Schiele, S. Ebert, 2019 .

Long-Term Anticipation of Activities with Cycle Consistency

Yazan Abu Farha, B. Schiele, Juergen Gall, 2020, GCPR.

A 4 NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Mario Fritz, B. Schiele, Rakshith Shetty, 2018 .

Models and Representations for Various Objects , Object Categories , and Places

B. Schiele, B. Leibe, A. Leonardis, 2022 .

CONFIDENCE-CALIBRATED ADVERSARIAL TRAINING

B. Schiele, Matthias Hein, David Stutz, 2019 .

Supplementary Material for Disentangling Adversarial Robustness and Generalization

B. Schiele, Matthias Hein, David Stutz, 2019 .

FONTS True Manifold FONTS Learned Manifold EMNIST Learned Manifold F-MNIST Learned Manifold CelebA

B. Schiele, Matthias Hein, David Stutz, 2022 .

Title : A System Capable of Robustly Categorising the Objects from the Database in a Real-World Environment

B. Schiele, B. Leibe, A. Leonardis, 2004 .

Zero-Shot Learning — The Good, the Bad and the Ugly

Bernt Schiele, Yongqin Xian, Zeynep Akata, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Avoiding the Innovation Trap : Experiencing Technology before it exists

Jan O. Borchers, B. Schiele, F. Michahelles, 2004 .

Efficient Clustering and Matching for Object Class Recognition

Bernt Schiele, Krystian Mikolajczyk, Bastian Leibe, 2006, BMVC.

Pictorial Structures Revisited : Multiple Human Pose Estimation

B. Schiele, M. Andriluka, Nassir Navab, 2015 .

Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

How Good are Local Features for Classes of Geometric Objects

Bernt Schiele, Michael Stark, B. Schiele, 2007, 2007 IEEE 11th International Conference on Computer Vision.

RMM: Reinforced Memory Management for Class-Incremental Learning

B. Schiele, Yaoyao Liu, Qianru Sun, 2023, NeurIPS.

Multi-object Tracking: Explicit Knowledge Representation and Implementation for Complexity Reduction

Bernt Schiele, Martin Spengler, B. Schiele, 2002 .

UvA-DARE ( Digital Academic Repository ) Déjà vu : Motion Prediction in Static Images

T. Pajdla, B. Schiele, T. Tuytelaars, 2014 .

LaughingLily: Using a Flower as a Real World Information Display

Bernt Schiele, Stavros Antifakos, B. Schiele, 2003 .

F 2008-08-062 MULTI-LEVEL SENSORFUSION AND COMPUTERVISION ALGORITHMS WITHIN A DRIVER ASSISTANCE SYSTEM FOR AVOIDING OVERTAKING ACCIDENTS

B. Schiele, C. Wojek, H. Winner, 2008 .

What Helps Where \textendash And Why? Semantic Relatedness for Knowledge Transfer

Bernt Schiele, Iryna Gurevych, Marcus Rohrbach, 2010, CVPR 2010.

Pedestrian detection: A benchmark

B. Schiele, Piotr Dollár, P. Perona, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Simplex Coding and Supervised Dictionary Learning

Bernt Schiele, Matthias Hein, Maksim Lapin, 2012 .

Video Segmentation with Graph Cuts

Bernt Schiele, Matthias Hein, Anna Khoreva, 2014 .

Relating Adversarially Robust Generalization to Flat Minima pdf

Bernt Schiele, Matthias Hein, David Stutz, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators pdf

Bernt Schiele, Matthias Hein, David Stutz, 2021, ArXiv.

Multi-modal Learning

Bernt Schiele, Mario Fritz, Danijel Skocaj, 2010, Cognitive Systems.

Learning Graphs to Model Visual Objects Across Different Depictive Styles

T. Pajdla, B. Schiele, T. Tuytelaars, 2014 .

Computer vision systems

Bernt Schiele, Gerhard Sagerer, B. Schiele, 2003, Machine Vision and Applications.

Gradient-Leaks: Understanding Deanonymization in Federated Learning

Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang, 2019 .

Learning to Customize and Combine Deep Learners for Few-Shot Learning

Bernt Schiele, Tat-Seng Chua, Yuting Su, 2019 .

Proceedings of the 32nd DAGM conference on Pattern recognition

Michael Goesele, Bernt Schiele, Arjan Kuijper, 2010 .

Aware Computing with wearable Computers

B. Schiele, A. Pentland, T. Starner, 2001 .

Motion Prediction in Static Images

T. Pajdla, B. Schiele, T. Tuytelaars, 2014 .

Person Recognition in Personal Photo Collections

Seong Joon Oh, Mario Fritz, B. Schiele, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Towards an Intertial Sensor Network

Bernt Schiele, Kristof Van Laerhoven, Hans-Werner Gellersen, 2003 .

CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning

B. Schiele, Dengxin Dai, Yue Fan, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Pedestrian detection: A benchmark

B. Schiele, Piotr Dollár, P. Perona, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Guest Editorial: Special Issue on “Computer Vision for All Seasons: Adverse Weather and Lighting Conditions”

Luc Van Gool, Bernt Schiele, Dengxin Dai, 2021, International Journal of Computer Vision.

Bi-level Alignment for Cross-Domain Crowd Counting

B. Schiele, Shanshan Zhang, Dengxin Dai, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Assaying Out-Of-Distribution Generalization in Transfer Learning

B. Schiele, T. Brox, F. Wenzel, 2022, ArXiv.

Categorical Perception

Sanja Fidler, Bernt Schiele, Mario Fritz, 2010, Cognitive Systems.

Principal Component Analysis for Mobile Robot Positioning

Bernt Schiele, James L. Crowley, Frank Wallner, 1997 .

Gaze Embeddings for Fine-Grained Zero-Shot Image Classification

Bernt Schiele, Zeynep Akata, Nour Karessli, 2016 .

Discriminative structure learning of hierarchical representations for object detection

Mario Fritz, B. Schiele, S. Roth, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Pictorial structures revisited: People detection and articulated pose estimation

B. Schiele, M. Andriluka, S. Roth, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Detection and Tracking of Occluded People

Bernt Schiele, Mykhaylo Andriluka, Siyu Tang, 2014, International Journal of Computer Vision.

Gaze Embeddings for Zero-Shot Image Classification

B. Schiele, Zeynep Akata, A. Bulling, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Meta-transfer learning through hard tasks Meta-transfer learning through hard tasks

B. Schiele, Tat-Seng Chua, Yaoyao Liu, 2021 .

Computer Vision Systems: Seventh International Conference

Bernt Schiele, Mario Fritz, Justus Piater, 2009 .

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Meta-transfer learning for few-shot learning Meta-transfer learning for few-shot learning

B. Schiele, Tat-Seng Chua, Yaoyao Liu, 2019 .

Stereo Vision under Adverse Conditions

Bernt Schiele, Joachim Weikert, Maxim Reznitskii, 2013 .

3D Pictorial Structures Revisited: Multiple Human Pose Estimation.

B. Schiele, M. Andriluka, Nassir Navab, 2016, IEEE transactions on pattern analysis and machine intelligence.

Certainty Grids: Perception and Localization for a Mobile Robot

Bernt Schiele, James L. Crowley, B. Schiele, 1993 .

MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes

B. Schiele, C. Theobalt, Vladislav Golyanik, 2022, 2022 International Conference on 3D Vision (3DV).

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Disentangled person image generation Disentangled person image generation

Mario Fritz, B. Schiele, L. Gool, 2019 .

USB: A Unified Semi-supervised Learning Benchmark

B. Schiele, T. Shinozaki, Yu-Feng Li, 2022, ArXiv.

Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes

Bharat Lal Bhatnagar, B. Schiele, Zeynep Akata, 2022, 2022 International Conference on 3D Vision (3DV).

Interleaved Object Categorization and Segmentation

Bastian Leibe, B. Schiele, B. Leibe, 2003, BMVC.

OASIS: Only Adversarial Supervision for Semantic Image Synthesis

B. Schiele, Juergen Gall, A. Khoreva, 2022, International Journal of Computer Vision.

Computer Vision - ECCV 2010 - 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI

Bernt Schiele, Stefan Walk, Konrad Schindler, 2010, ECCV.

Filtered Feature Channels for Pedestrian Detection

Bernt Schiele, Rodrigo Benenson, Shanshan Zhang, 2015, CVPR 2015.

Design, Implementation and Testing of a Wearable Sensing System for Professional Downhill Skiing in Cooperation with Trainers

Bernt Schiele, Florian Michahelles, Erich Crameri, 2005 .

(SP)2Net for Generalized Zero-Label Semantic Segmentation

Bernt Schiele, Yongqin Xian, Zeynep Akata, 2021, German Conference on Pattern Recognition.

Method for automatic recognition of a driving maneuver of a motor vehicle and a method of this comprehensive driver assistance system

Bernt Schiele, Stefan Lüke, Christian Wojek, 2010 .

Dense-CNN: Fully Convolutional Neural Networks for Human Body Pose Estimation

Bernt Schiele, Bjoern Andres, Eldar Insafutdinov, 2016 .

Psychophysically plausible computational modelling of scene typicality.

Bernt Schiele, Julia Vogel, Adrian Schwaninger, 2011 .

Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification

Bernt Schiele, Shanshan Zhang, Jian Yang, 2021, International Journal of Computer Vision.

Learning to Track Humans in Videos

Bernt Schiele, Mihai Fieraru, B. Schiele, 2017 .

Proceedings of the Second International Workshop on Computer Vision Systems

Bernt Schiele, Gerhard Sagerer, B. Schiele, 2001 .

Vocabulary-Supported Image Retrieval

Bernt Schiele, Julia Vogel, B. Schiele, 2000, DELOS Workshops / Conferences.

Camera Based Pedestrian Detection

Bernt Schiele, Christian Wojek, B. Schiele, 2015 .

Multi-view Object Recognition with Depth Cameras

Bernt Schiele, Wandi Susanto, B. Schiele, 2012 .

Proceedings of the 4th international conference on Pervasive Computing

Bernt Schiele, Aaron Quigley, Paddy Nixon, 2006 .

Object Categorization: Computer and Human Vision Perspectives

Sven J. Dickinson, Bernt Schiele, Sven Dickinson, 2009 .

Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems

Bernt Schiele, Mario Fritz, Justus Piater, 2009 .

Deep Learning for Filling Blanks in Image Captions

Bernt Schiele, Mario Fritz, Ashkan Mokarian Forooshani, 2016 .

REPRESENTATION AND LEARNING IN ROBOTS AND ANIMALS

Bernt Schiele, Aaron Sloman, B. Schiele, 2005 .

Sensing and monitoring professional skiing athletes : lessons learned from a collaboration with ski trainers

Florian Michahelles, Bernt Schiele, B. Schiele, 2005 .

Pedestrian Detection Meets Stuff

Bernt Schiele, Rodrigo Benenson, Mohamed Omran, 2014 .

Multi-scale Feature Learning for Material Recognition

Wenbin Li, Bernt Schiele, Mario Fritz, 2013 .

Confidence-Calibrated Adversarial Training and Detection: More Robust Models Generalizing Beyond the Attack Used During Training

Bernt Schiele, David Stutz, Matthias Hein, 2019 .

You Only Need Adversarial Supervision for Semantic Image Synthesis pdf

Bernt Schiele, Juergen Gall, Vadim Sushko, 2020, ICLR.

Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring

Stefan Roth, Bernt Schiele, Jiangxin Dong, 2021, NeurIPS.

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

Bernt Schiele, Mario Fritz, Justus Piater, 2009, International Conference on Virtual Storytelling.

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-View Gaze-Estimation with Low-Resolution Images

Bernt Schiele, Andreas Bulling, Marc Tonsen, 2016 .

Estimation of the Head Orientation Based on a Face‐Color‐Intensifier

Alex Waibel, Bernt Schiele, B. Schiele, 1995 .

Recognition using Multidimensional Receptive Field Histograms

Bernt Schiele, B. Schiele, 1996, ECCV 1996.

Efficient clustering and matching for object glass

Bernt Schiele, Krystian Mikolajczyk, Bastian Leibe, 2006 .

Sensing Location in Your Pocket

Bernt Schiele, Ulf Blanke, B. Schiele, 2008, UbiComp 2008.

Sensory Augmented Computing - The Emergence of Ambient Intelligence

Bernt Schiele, B. Schiele, 2006 .

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

Bernt Schiele, Mario Fritz, Mario Fritz, 2009 .

Spatial Information is Overrated for Image Classification

Bernt Schiele, Yongqin Xian, Yue Fan, 2019, ICLR 2019.

Sensory Augmented Wearable Computing and its Potential for Human‐Computer Interaction

Bernt Schiele, B. Schiele, 2001 .

4th International Conference, PERVASIVE 2006

Bernt Schiele, Aaron Quigley, Kenneth P. Fishkin, 2006 .

Color Histogram Classification using NMF

Bernt Schiele, David Guillamet, B. Schiele, 2001 .

Computer Vision – ECCV 2014

David J. Fleet, Bernt Schiele, Tinne Tuytelaars, 2014, Lecture Notes in Computer Science.

Norm-Aware Embedding for Efficient Person Search and Tracking

Bernt Schiele, Shanshan Zhang, Jian Yang, 2021, Int. J. Comput. Vis..

Object Categorization: Plate section

Sven J. Dickinson, Bernt Schiele, Sven Dickinson, 2009 .

Multi‐Channel, Context‐Aware Notification on Wearable Devices

Bernt Schiele, Nicky Kern, B. Schiele, 2002 .

Object Categorization: Preface

Sven J. Dickinson, Bernt Schiele, Sven Dickinson, 2009 .

USB: A Unified Semi-supervised Learning Benchmark

B. Schiele, T. Shinozaki, Yu-Feng Li, 2022, NeurIPS.

TeST: Test-time Self-Training under Distribution Shift

B. Schiele, Samarth Sinha, Francesco Locatello, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

B. Schiele, L. Gool, F. Yu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Assaying Out-Of-Distribution Generalization in Transfer Learning

B. Schiele, B. Schölkopf, T. Brox, 2022, NeurIPS.

B-cos Networks: Alignment is All We Need for Interpretability

Mario Fritz, B. Schiele, Moritz D Boehle, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Better Understanding Attribution Methods

B. Schiele, Sukrut Rao, Moritz Bohle, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking

B. Schiele, Juergen Gall, Shanshan Zhang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Motion Transformer with Global Intention Localization and Local Movement Refinement

B. Schiele, Dengxin Dai, Shaoshuai Shi, 2022, Neural Information Processing Systems.

Leveraging Self-Supervised Training for Unintentional Action Recognition

B. Schiele, Enea Duka, A. Kukleva, 2022, 2209.11870.

A Unified Query-based Paradigm for Point Cloud Understanding

B. Schiele, Jiaya Jia, Li Jiang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts

B. Schiele, Chi-Keung Tang, Dengxin Dai, 2022, 2211.04393.

Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions

B. Schiele, Xiansheng Hua, Jianqiang Huang, 2022, Pattern Recognition.

Improving Robustness by Enhancing Weak Subnets

B. Schiele, David Stutz, Yong Guo, 2022, ECCV.

Supplementary Materials for “Improving Robustness by Enhancing Weak Subnets”

B. Schiele, David Stutz, Yong Guo, 2022 .

Augmented Realities Integrating User andPhysical

B. Schiele, Brad Rhodes, Joshua Weaver, 1998 .

DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring

B. Schiele, S. Roth, Jiangxin Dong, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

"Best-of-Many-Samples" Distribution Matching

Mario Fritz, B. Schiele, Apratim Bhattacharyya, 2019, ArXiv.

ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers

B. Schiele, Avinash Ravichandran, Kibok Lee, 2022, arXiv.org.

Discriminative Appearance Models for Pictorial Structures

B. Schiele, M. Andriluka, S. Roth, 2012, International Journal of Computer Vision.

Learning by Sorting: Self-supervised Learning with Group Ordering Constraints

B. Schiele, Felix Petersen, Hilde Kuehne, 2023, ArXiv.

Lucid Data Dreaming for Video Object Segmentation

Thomas Brox, Bernt Schiele, Eddy Ilg, 2017, International Journal of Computer Vision.

Computer Vision – ECCV 2014

David J. Fleet, Bernt Schiele, Tinne Tuytelaars, 2014, Lecture Notes in Computer Science.

Filtered channel features for pedestrian detection

Bernt Schiele, Shanshan Zhang, Rodrigo Benenson, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning people detection models from few training samples

Bernt Schiele, Christian Wojek, Thorsten Thormählen, 2011, CVPR 2011.

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

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Learning to Self-Train for Semi-Supervised Few-Shot Classification

Bernt Schiele, Tat-Seng Chua, Shibao Zheng, 2019, NeurIPS.

Omni-DETR: Omni-Supervised Object Detection with Transformers

B. Schiele, Stefano Soatto, Pei Wang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Automatic Detection and Tracking of Abandoned Objects

Bernt Schiele, Martin Spengler, B. Schiele, 2003 .

Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

Christoph H. Lampert, Bernt Schiele, Yongqin Xian, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semantic Projection Network for Zero- and Few-Label Semantic Segmentation

Bernt Schiele, Yongqin Xian, Zeynep Akata, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

What Makes for Effective Detection Proposals?

Bernt Schiele, Rodrigo Benenson, Piotr Dollár, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Meta-Transfer Learning for Few-Shot Learning

Bernt Schiele, Tat-Seng Chua, Yaoyao Liu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Reverse-Engineering Black-Box Neural Networks

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2017, ICLR.

Visual Object Class Recognition

Bernt Schiele, Ales Leonardis, Michael Stark, 2016, Springer Handbook of Robotics, 2nd Ed..

A U-Net Based Discriminator for Generative Adversarial Networks

Bernt Schiele, Edgar Schönfeld, Anna Khoreva, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

What makes for good application- led research in ubiquitous computing?

Bernt Schiele, George Coulouris, Kasim Rehman, 2005 .

Detection and Tracking of Occluded People

Bernt Schiele, Mykhaylo Andriluka, Siyu Tang, 2014, International Journal of Computer Vision.

An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning

Bernt Schiele, Qianru Sun, Yaoyao Liu, 2019, ECCV.

LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning pdf

Bernt Schiele, Tat-Seng Chua, Yuting Su, 2019, ArXiv.

Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes pdf

Bernt Schiele, Mario Fritz, Yang He, 2018, ECCV.

Revisiting Consistency Regularization for Semi-Supervised Learning

Bernt Schiele, Anna Kukleva, Yue Fan, 2021, International Journal of Computer Vision.

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

Bernt Schiele, Mario Fritz, Sandra Ebert, 2011, DAGM-Symposium.

Extracting Structures in Image Collections for Object Recognition

Bernt Schiele, Sandra Ebert, Diane Larlus, 2010, ECCV.

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

Bernt Schiele, Mario Fritz, Geert-Jan M. Kruijff, 2010, Comput. Vis. Image Underst..

Learning What and Where to Draw

Bernt Schiele, Honglak Lee, Zeynep Akata, 2016, NIPS.

Script Data for Attribute-Based Recognition of Composite Activities

Bernt Schiele, Marcus Rohrbach, Manfred Pinkal, 2012, ECCV.

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

Bernt Schiele, Matthias Hein, Maksim Lapin, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Loss Functions for Top-k Error: Analysis and Insights

Bernt Schiele, Matthias Hein, Maksim Lapin, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Building statistical shape spaces for 3D human modeling

Bernt Schiele, Christian Theobalt, Stefanie Wuhrer, 2015, Pattern Recognit..

On Performance Characterization and Optimization for Image Retrieval

Bernt Schiele, Julia Vogel, B. Schiele, 2002, ECCV.

Toward Recognition of Short and Non-repetitive Activities from Wearable Sensors

Bernt Schiele, Kristof Van Laerhoven, Andreas Zinnen, 2007, AmI.

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering

Thomas Brox, Bernt Schiele, Margret Keuper, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model

Bernt Schiele, Bjoern Andres, Mykhaylo Andriluka, 2016, ECCV.

Subgraph decomposition for multi-target tracking

Bernt Schiele, Bjoern Andres, Mykhaylo Andriluka, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Vision-Based Detection of Mobile Smart Objects

Bernt Schiele, Hans-Werner Gellersen, David Molyneaux, 2008, EuroSSC.

Multi‐Level Sensorfusion and Computer‐Vision Algorithms within Driver Assistance for Avoiding Overtaking‐Accidents

Hermann Winner, Bernt Schiele, Christian Wojek, 2008 .

How Computer Vision Can Help in Outdoor Positioning

Bernt Schiele, Ulrich Steinhoff, Ales Leonardis, 2007, AmI.

Cross‐modal Learning of Visual Categories using Different Levels of Supervision

Bernt Schiele, Mario Fritz, Geert-Jan M. Kruijff, 2007, ICVS 2007.

Cross-Articulation Learning for Robust Detection of Pedestrians

Bernt Schiele, Edgar Seemann, B. Schiele, 2006, DAGM-Symposium.

A psychophysically plausible model for typicality ranking of natural scenes

Bernt Schiele, Julia Vogel, Adrian Schwaninger, 2006, TAP.

CityPersons: A Diverse Dataset for Pedestrian Detection

Bernt Schiele, Shanshan Zhang, Rodrigo Benenson, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

Peter V. Gehler, Bernt Schiele, Bjoern Andres, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Spatially-Variant MAP Models for Non-blind Image Deblurring

B. Schiele, S. Roth, Jiangxin Dong, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Computer Vision – ECCV 2014

David J. Fleet, Bernt Schiele, Tinne Tuytelaars, 2014, Lecture Notes in Computer Science.

EgoCap pdf

Hans-Peter Seidel, Bernt Schiele, Christian Theobalt, 2016, ACM Trans. Graph..

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts

B. Schiele, Chi-Keung Tang, Dengxin Dai, 2022, ArXiv.

Simple Does It: Weakly Supervised Instance and Semantic Segmentation

Bernt Schiele, Matthias Hein, Rodrigo Benenson, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Grounding Action Descriptions in Videos

Bernt Schiele, Marcus Rohrbach, Stefan Thater, 2013, TACL.

An Exploration of Daily Routine Modeling Based on Bluetooth and GSM-Data

Bernt Schiele, Ulrich Steinhoff, B. Schiele, 2009, 2009 International Symposium on Wearable Computers.

Detecting Surgical Tools by Modelling Local Appearance and Global Shape

Bernt Schiele, Rodrigo Benenson, Mohamed Omran, 2015, IEEE Transactions on Medical Imaging.

Attribute Prototype Network for Zero-Shot Learning

B. Schiele, Zeynep Akata, Yongqin Xian, 2020, NeurIPS.

Latent Embeddings for Zero-Shot Classification

Bernt Schiele, Yongqin Xian, Zeynep Akata, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Pose Guided Person Image Generation

Luc Van Gool, Xu Jia, Bernt Schiele, 2017, NIPS.

Conditional Flow Variational Autoencoders for Structured Sequence Prediction pdf

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2019, ArXiv.

Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks

Mario Fritz, B. Schiele, Tribhuvanesh Orekondy, 2019, ICLR.

Learning Deep Representations of Fine-Grained Visual Descriptions

Bernt Schiele, Honglak Lee, Zeynep Akata, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Feature Generating Networks for Zero-Shot Learning

Bernt Schiele, Yongqin Xian, Zeynep Akata, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Disentangled Person Image Generation

Luc Van Gool, Bernt Schiele, Mario Fritz, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Disentangling Adversarial Robustness and Generalization

Bernt Schiele, Matthias Hein, David Stutz, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2018, NeurIPS.

Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation

Peter V. Gehler, Bernt Schiele, Mohamed Omran, 2018, 2018 International Conference on 3D Vision (3DV).

Learning audio-visual associations using mutual information

Alex Pentland, Bernt Schiele, Deb Roy, 1999, Proceedings Integration of Speech and Image Understanding.

An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning

B. Schiele, Jindong Wang, M. Savvides, 2022, ArXiv.

PoseTrack: A Benchmark for Human Pose Estimation and Tracking

Bernt Schiele, Juergen Gall, Anton Milan, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Long-Tailed Recognition Using Class-Balanced Experts pdf

Bernt Schiele, Mario Fritz, Saurabh Sharma, 2020, GCPR.

Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes

Bernt Schiele, Konrad Schindler, Christian Wojek, 2010, ECCV.

Shading cues for object class detection

Michael Goesele, Bernt Schiele, Michael Stark, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Multiple People Tracking by Lifted Multicut and Person Re-identification

Bernt Schiele, Bjoern Andres, Mykhaylo Andriluka, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-person Tracking by Multicut and Deep Matching pdf

Bernt Schiele, Bjoern Andres, Mykhaylo Andriluka, 2016, ECCV Workshops.

Where Next in Object Recognition and how much Supervision Do We Need?

Bernt Schiele, Sandra Ebert, B. Schiele, 2013, Advanced Topics in Computer Vision.

Editorial Computer vision systems

Bernt Schiele, Gerhard Sagerer, B. Schiele, 2003 .

Towards robust multi-cue integration for visual tracking

Bernt Schiele, Martin Spengler, B. Schiele, 2001, Machine Vision and Applications.

Video Object Segmentation with Language Referring Expressions

Bernt Schiele, Anna Khoreva, Anna Rohrbach, 2018, ACCV.

The Cityscapes Dataset

Sebastian Ramos, Bernt Schiele, Rodrigo Benenson, 2015, CVPR 2015.

ArtTrack: Articulated Multi-Person Tracking in the Wild

Bernt Schiele, Bjoern Andres, Evgeny Levinkov, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation

Bernt Schiele, B. Schiele, Zeynep Akata, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences

B. Schiele, V. Demberg, A. Sayeed, 2023, TACL.

Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting pdf

Bernt Schiele, Hilde Kuehne, Anna Kukleva, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Adaptive Aggregation Networks for Class-Incremental Learning

B. Schiele, Yaoyao Liu, Qianru Sun, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting

Bernt Schiele, Yuting Su, An-An Liu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Relating Adversarially Robust Generalization to Flat Minima

B. Schiele, Matthias Hein, David Stutz, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets

B. Schiele, Liwei Wang, Di He, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards improving trust in context-aware systems by displaying system confidence

Bernt Schiele, Adrian Schwaninger, Nicky Kern, 2005, Mobile HCI.

Generating Descriptions with Grounded and Co-referenced People

Seong Joon Oh, Bernt Schiele, Marcus Rohrbach, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Taking a deeper look at pedestrians

Bernt Schiele, Rodrigo Benenson, Mohamed Omran, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Computer Vision – ECCV 2014

David J. Fleet, Bernt Schiele, Tinne Tuytelaars, 2014, Lecture Notes in Computer Science.

Towards Systematic Robustness for Scalable Visual Recognition

B. Schiele, Mohamed Omran, 2022 .

Knockoff Nets: Stealing Functionality of Black-Box Models

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A tutorial on human activity recognition using body-worn inertial sensors

Bernt Schiele, Andreas Bulling, Ulf Blanke, 2014, CSUR.

Coherent Multi-sentence Video Description with Variable Level of Detail pdf

Bernt Schiele, Marcus Rohrbach, Manfred Pinkal, 2014, GCPR.

Multi-View and 3D Deformable Part Models

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

3D object class detection in the wild

Peter V. Gehler, Bernt Schiele, Tobias Ritschel, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Detailed 3D Representations for Object Recognition and Modeling

Bernt Schiele, Konrad Schindler, Michael Stark, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

3D2PM - 3D Deformable Part Models

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2012, ECCV.

Fine-Grained Categorization for 3D Scene Understanding

James J. Little, Bernt Schiele, Jonathan Krause, 2012, BMVC.

Revisiting 3D geometric models for accurate object shape and pose

Bernt Schiele, Konrad Schindler, Michael Stark, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Attribute Prototype Network for Any-Shot Learning

B. Schiele, Zeynep Akata, Yongqin Xian, 2022, International Journal of Computer Vision.

Evaluating knowledge transfer and zero-shot learning in a large-scale setting

Bernt Schiele, Marcus Rohrbach, Michael Stark, 2011, CVPR 2011.

F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

Bernt Schiele, Yongqin Xian, Zeynep Akata, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Non-maximum Suppression

Bernt Schiele, Rodrigo Benenson, Jan Hendrik Hosang, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Kinematic 3D Object Detection in Monocular Video

Bernt Schiele, Gerard Pons-Moll, Xiaoming Liu, 2020, ECCV.

Motion Transformer with Global Intention Localization and Local Movement Refinement

B. Schiele, Dengxin Dai, Shaoshuai Shi, 2022, NeurIPS.

Monocular 3D scene understanding with explicit occlusion reasoning

Bernt Schiele, Stefan Walk, Christian Wojek, 2011, CVPR 2011.

HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation

B. Schiele, Dengxin Dai, Guisong Xia, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Grounding of Textual Phrases in Images by Reconstruction pdf

Trevor Darrell, Bernt Schiele, Ronghang Hu, 2015, ECCV.

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

Bernt Schiele, David Stutz, Matthias Hein, 2019, ICML.

Towards Automated Testing and Robustification by Semantic Adversarial Data Generation

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2020, ECCV.

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

Mario Fritz, B. Schiele, Yang He, 2019, ECCV.

A Novel BiLevel Paradigm for Image-to-Image Translation pdf

Luc Van Gool, Bernt Schiele, Liqian Ma, 2019, ArXiv.

Time-Conditioned Action Anticipation in One Shot

Bernt Schiele, Mario Fritz, Qiuhong Ke, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Hybrid Model for Identity Obfuscation by Face Replacement pdf

Bernt Schiele, Mario Fritz, Christian Theobalt, 2018, ECCV.

Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding

B. Schiele, Dengxin Dai, Shaoshuai Shi, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RBGNet: Ray-based Grouping for 3D Object Detection

B. Schiele, Hongsheng Li, Shaoshuai Shi, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction

B. Schiele, Dengxin Dai, Shaoshuai Shi, 2022, ArXiv.

Learning Video Object Segmentation from Static Images

Bernt Schiele, Anna Khoreva, Rodrigo Benenson, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Scalable Recognition of Daily Activities with Wearable Sensors

Bernt Schiele, Ulf Blanke, Tâm Huynh, 2007, LoCA.

Learning using privileged information: SV M+ and weighted SVM

Bernt Schiele, Matthias Hein, Maksim Lapin, 2013, Neural Networks.

Dead reckoning from the pocket - An experimental study

Bernt Schiele, Ulrich Steinhoff, B. Schiele, 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Discovery of activity patterns using topic models

Bernt Schiele, Mario Fritz, Tâm Huynh, 2008 .

Haar Wavelet Based Block Autoregressive Flows for Trajectories pdf

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2020, GCPR.

Exploiting Saliency for Object Segmentation from Image Level Labels

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

You Only Need Adversarial Supervision for Semantic Image Synthesis pdf

Bernt Schiele, Dan Zhang, Juergen Gall, 2020, ICLR.

Video Object Segmentation with Referring Expressions

Bernt Schiele, Anna Khoreva, Anna Rohrbach, 2018, ECCV Workshops.

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Natural and Effective Obfuscation by Head Inpainting

Luc Van Gool, Seong Joon Oh, Bernt Schiele, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Bernt Schiele, Rahaf Aljundi, Shanshan Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

3D Object Detection with Multiple Kinects

Bernt Schiele, Marcus Rohrbach, Wandi Susanto, 2012, ECCV Workshops.

Adversarial Training against Location-Optimized Adversarial Patches pdf

Bernt Schiele, David Stutz, Sukrut Rao, 2020, ECCV Workshops.

Not Using the Car to See the Sidewalk — Quantifying and Controlling the Effects of Context in Classification and Segmentation

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Translating Video Content to Natural Language Descriptions

Bernt Schiele, Marcus Rohrbach, Ivan Titov, 2013, 2013 IEEE International Conference on Computer Vision.

Robustifying Token Attention for Vision Transformers

B. Schiele, David Stutz, Yong Guo, 2023, ArXiv.

Occluded Pedestrian Detection Through Guided Attention in CNNs

Jian Yang, Bernt Schiele, Shanshan Zhang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning

Seong Joon Oh, Mario Fritz, B. Schiele, 2018, 1805.05838.

The Long-Short Story of Movie Description

Bernt Schiele, Marcus Rohrbach, Anna Rohrbach, 2015, GCPR.

A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2017, USENIX Security Symposium.

Learning to Refine Human Pose Estimation

Bernt Schiele, Anna Khoreva, Leonid Pishchulin, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Computer Vision – ECCV 2014

David J. Fleet, Bernt Schiele, Tinne Tuytelaars, 2014, Lecture Notes in Computer Science.

3D Pictorial Structures for Multiple Human Pose Estimation

Nassir Navab, Bernt Schiele, Slobodan Ilic, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors

Bernt Schiele, Sandra Ebert, Diane Larlus, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Using rhythm awareness in long-term activity recognition

Bernt Schiele, Kristof Van Laerhoven, David Kilian, 2008, 2008 12th IEEE International Symposium on Wearable Computers.

Lucid Data Dreaming for Object Tracking pdf

Thomas Brox, Bernt Schiele, Rodrigo Benenson, 2017, ArXiv.

Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras

Jonathan Tompson, Bernt Schiele, Edilson de Aguiar, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Skin Patch Detection in Real-World Images

Bernt Schiele, Hannes Kruppa, Martin A. Bauer, 2002, DAGM-Symposium.

Meta-Transfer Learning Through Hard Tasks

Bernt Schiele, Tat-Seng Chua, Yaoyao Liu, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Classifier based graph construction for video segmentation

Bernt Schiele, Matthias Hein, Anna Khoreva, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Interpretability Beyond Classification Output: Semantic Bottleneck Networks pdf

Bernt Schiele, Mario Fritz, Max Losch, 2019, ArXiv.

Multi Activity Recognition Based on Bodymodel-Derived Primitives

Bernt Schiele, Christian Wojek, Andreas Zinnen, 2009, LoCA.

Proactive Instructions for Furniture Assembly

Florian Michahelles, Bernt Schiele, Stavros Antifakos, 2002, UbiComp.

Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data

B. Schiele, C. Rupprecht, Hilde Kuehne, 2023, ICLR.

Performance evaluation and optimization for content-based image retrieval

Bernt Schiele, Julia Vogel, B. Schiele, 2006, Pattern Recognit..

Lucid Data Dreaming for Video Object Segmentation

B. Schiele, T. Brox, Rodrigo Benenson, 2017, International Journal of Computer Vision.

Generalized Many-Way Few-Shot Video Classification

Matthijs Douze, Bernt Schiele, Yongqin Xian, 2020, ECCV Workshops.

Convolutional Dynamic Alignment Networks for Interpretable Classifications

Bernt Schiele, Mario Fritz, Moritz Böhle, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Reaching Human Performance in Pedestrian Detection

Bernt Schiele, Shanshan Zhang, Rodrigo Benenson, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Performance prediction for vocabulary-supported image retrieval

Bernt Schiele, Julia Vogel, B. Schiele, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

A Domain Based Approach to Social Relation Recognition

Bernt Schiele, Mario Fritz, Qianru Sun, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

MARCOnI—ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes

Edilson de Aguiar, A. Jain, A. Elhayek, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Analyzing features for activity recognition

Bernt Schiele, Tâm Huynh, B. Schiele, 2005, sOc-EUSAI '05.

Multi-Aspect Detection of Articulated Objects

Bernt Schiele, Bastian Leibe, Edgar Seemann, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Fine-Grained Activity Recognition with Holistic and Pose Based Features pdf

Bernt Schiele, Mykhaylo Andriluka, Leonid Pishchulin, 2014, GCPR.

Ten Years of Pedestrian Detection, What Have We Learned? pdf

Bernt Schiele, Rodrigo Benenson, Mohamed Omran, 2014, ECCV Workshops.

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators

B. Schiele, Matthias Hein, David Stutz, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bit Error Robustness for Energy-Efficient DNN Accelerators

Bernt Schiele, David Stutz, Nandhini Chandramoorthy, 2020, MLSys.

On Mitigating Random and Adversarial Bit Errors pdf

Bernt Schiele, David Stutz, Nandhini Chandramoorthy, 2020, ArXiv.

Attentive Explanations: Justifying Decisions and Pointing to the Evidence pdf

Trevor Darrell, Bernt Schiele, Marcus Rohrbach, 2016, ArXiv.

Gaze Tracking Based on Face‐Color

Alex Waibel, Bernt Schiele, B. Schiele, 1995 .

Context-driven model switching for visual tracking

Bernt Schiele, Hannes Kruppa, Martin Spengler, 2001, Robotics Auton. Syst..

Improving Corruption and Adversarial Robustness by Enhancing Weak Subnets

B. Schiele, David Stutz, Yong Guo, 2022, arXiv.org.

Supplementary Material for Relating Adversarially Robust Generalization to Flat Minima

B. Schiele, Matthias Hein, David Stutz, 2021 .

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

B. Schiele, Jindong Wang, M. Savvides, 2023, ICLR.

Class-Incremental Exemplar Compression for Class-Incremental Learning

B. Schiele, Yaoyao Liu, Qianru Sun, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Holistically Explainable Vision Transformers

Mario Fritz, B. Schiele, Moritz D Boehle, 2023, ArXiv.

A‐Life - Increasing Survival Chances in Avalanches by Wearable

Florian Michahelles, Bernt Schiele, Timo Ahonen, 2003 .

Saliency of Interest Points under Scale Changes

Bernt Schiele, Bastian Leibe, Daniela Hall, 2002, BMVC.

Probabilistic object recognition and localization

Alex Pentland, Bernt Schiele, B. Schiele, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Multi-cue Zero-Shot Learning with Strong Supervision

Bernt Schiele, Mario Fritz, Zeynep Akata, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Gaze Embeddings for Zero-Shot Image Classification

Bernt Schiele, Zeynep Akata, Andreas Bulling, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Situation Aware Computing with Wearable Computers

Alex Pentland, Bernt Schiele, Thad Starner, 2001 .

Realtime personal positioning system for a wearable computer

Alex Pentland, Bernt Schiele, Hisashi Aoki, 1999, Digest of Papers. Third International Symposium on Wearable Computers.

Recognizing Personal Location from Video

Alex Pentland, Bernt Schiele, Hisashi Aoki, 1998 .

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning

B. Schiele, Zeynep Akata, Yongqin Xian, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Applying wearable sensors to avalanche rescue

Albrecht Schmidt, Florian Michahelles, Bernt Schiele, 2003, Comput. Graph..

A‐Life: Saving Lives in Avalanches

Florian Michahelles, Bernt Schiele, B. Schiele, 2003 .

Experiencing technology before it exists : a case study

Florian Michahelles, Bernt Schiele, B. Schiele, 2005 .

ADL recognition based on the combination of RFID and accelerometer sensing

Bernt Schiele, Kristof Van Laerhoven, Maja Stikic, 2008, 2008 Second International Conference on Pervasive Computing Technologies for Healthcare.

Continual Detection Transformer for Incremental Object Detection

B. Schiele, A. Vedaldi, Yaoyao Liu, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Smart-Its Friends: A Technique for Users to Easily Establish Connections between Smart Artefacts

Bernt Schiele, Lars Erik Holmquist, Friedemann Mattern, 2001, UbiComp.

Towards distributed awareness - an artifact based approach

Albrecht Schmidt, Florian Michahelles, Bernt Schiele, 2004, Sixth IEEE Workshop on Mobile Computing Systems and Applications.

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

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2016, MobiSys.

Long-Term Image Boundary Prediction

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2016, AAAI.

No One Left Behind: Real-World Federated Class-Incremental Learning

B. Schiele, Dengxin Dai, Yulun Zhang, 2023, ArXiv.

Sensing and monitoring professional skiers

Florian Michahelles, Bernt Schiele, B. Schiele, 2005, IEEE Pervasive Computing.

MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying

B. Schiele, Dengxin Dai, Shaoshuai Shi, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recognizing context for annotating a live life recording

Albrecht Schmidt, Bernt Schiele, Nicky Kern, 2007, Personal and Ubiquitous Computing.

Using Explanations to Guide Models

B. Schiele, Moritz D Boehle, Sukrut Rao, 2023, ArXiv.

Integrating Visual Context and Object Detection within a Probabilistic Framework

Bernt Schiele, Ales Leonardis, Christian Wojek, 2009, WAPCV.

A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors

Bernt Schiele, Oskar von Stryk, Stefan Kohlbrecher, 2010, RoboCup.

Probabilistic Combination of Visual Context Based Attention and Object Detection

Bernt Schiele, Christian Wojek, Roland Perko, 2008 .

Visual Coherence Loss for Coherent and Visually Grounded Story Generation

B. Schiele, V. Demberg, A. Sayeed, 2023, REPL4NLP.

South by South-East or Sitting at the Desk: Can Orientation be a Place?

Bernt Schiele, Ulf Blanke, Robert Rehner, 2011, 2011 15th Annual International Symposium on Wearable Computers.

Remember and transfer what you have learned - recognizing composite activities based on activity spotting

Bernt Schiele, Ulf Blanke, B. Schiele, 2010, International Symposium on Wearable Computers (ISWC) 2010.

Daily Routine Recognition through Activity Spotting

Bernt Schiele, Ulf Blanke, B. Schiele, 2009, LoCA.

Multi-sensor Activity Context Detection for Wearable Computing

Albrecht Schmidt, Bernt Schiele, Nicky Kern, 2003, EUSAI.

Better Understanding Differences in Attribution Methods via Systematic Evaluations

B. Schiele, Moritz D Boehle, Sukrut Rao, 2023, ArXiv.

Diverse and Relevant Visual Storytelling with Scene Graph Embeddings

Bernt Schiele, Xudong Hong, Vera Demberg, 2020, CONLL.

Transinformation for active object recognition

Bernt Schiele, James L. Crowley, B. Schiele, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Test-time Domain Adaptation for Monocular Depth Estimation

B. Schiele, Dengxin Dai, Shaoshuai Shi, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Online Hyperparameter Optimization for Class-Incremental Learning

B. Schiele, Yingying Li, Yaoyao Liu, 2023, Proceedings of the AAAI Conference on Artificial Intelligence.

$A^{4}NT$: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Bernt Schiele, Mario Fritz, Rakshith Shetty, 2017, 1711.01921.

Meta-Transfer Learning for Few-Shot Learning

Bernt Schiele, Tat-Seng Chua, Yaoyao Liu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

Mario Fritz, B. Schiele, M. Losch, 2021, International Journal of Computer Vision.

Synthetic Convolutional Features for Improved Semantic Segmentation

Bernt Schiele, Mario Fritz, Yang He, 2020, ECCV Workshops.

Active Metric Learning for Object Recognition

Bernt Schiele, Mario Fritz, Sandra Ebert, 2012, DAGM/OAGM Symposium.

Future Moment Assessment for Action Query

Bernt Schiele, Mario Fritz, Qiuhong Ke, 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Visual People Detection - Different Models, Comparison and Discussion

Bernt Schiele, Christian Wojek, Stefan Roth, 2009, ICRA 2009.

Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes

Bharat Lal Bhatnagar, B. Schiele, Gerard Pons-Moll, 2022, 2022 International Conference on 3D Vision (3DV).

Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes pdf

Bernt Schiele, Bharat Lal Bhatnagar, Gerard Pons-Moll, 2021, ArXiv.

Normalizing Flows With Multi-Scale Autoregressive Priors

Stefan Roth, Bernt Schiele, Mario Fritz, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The 2005 PASCAL Visual Object Classes Challenge

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2005, MLCW.

Towards Unsupervised Discovery of Visual Categories

Bernt Schiele, Mario Fritz, Mario Fritz, 2006, DAGM-Symposium.

Keypoint Message Passing for Video-based Person Re-Identification pdf

Bernt Schiele, Juergen Gall, Shanshan Zhang, 2021, AAAI.

Norm-Aware Embedding for Efficient Person Search and Tracking

Bernt Schiele, Jian Yang, Shanshan Zhang, 2020, International Journal of Computer Vision.

Hierarchical Online Instance Matching for Person Search

Bernt Schiele, Jian Yang, Shanshan Zhang, 2020, AAAI.

The Role of Perception in Ubiquitous Interactive Systems

Bernt Schiele, Jan Borchers, Jan O. Borchers, 2003 .

Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications

Thomas Brox, Bernt Schiele, Carsten Rother, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects pdf

Thomas Brox, Bernt Schiele, Margret Keuper, 2016, ArXiv.

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures

Nassir Navab, Pascal Fua, Bernt Schiele, 2014, ECCV Workshops.

, or of eyes and eye gaze from cameras in a head-mounted rig [ Sugano and Bulling 2015 ]

B. Schiele, H. Seidel, C. Theobalt, 2016 .

A Meta-Learning Approach to Predicting Performance and Data Requirements

B. Schiele, A. Achille, Avinash Ravichandran, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Model-free tracking of cars and people based on color regions

Bernt Schiele, B. Schiele, 2006, Image Vis. Comput..

Lucid Data Dreaming for Multiple Object Tracking

Thomas Brox, Bernt Schiele, Eddy Ilg, 2017, 1703.09554.

In Good Shape: Robust People Detection based on Appearance and Shape

Bernt Schiele, Christian Wojek, Thorsten Thormählen, 2011, BMVC.

Semantic Modeling of Natural Scenes for Content-Based Image Retrieval

B. Schiele, J. Vogel, Julia Vogel, 2007, International Journal of Computer Vision.

On Fragile Features and Batch Normalization in Adversarial Training

B. Schiele, David Stutz, Nils Philipp Walter, 2022, ArXiv.

Query : " A man in a red sweatshirt performing breakdance "

B. Schiele, Anna Rohrbach, A. Khoreva, 2018 .

Exploring semi-supervised and active learning for activity recognition

Bernt Schiele, Kristof Van Laerhoven, Maja Stikic, 2008, 2008 12th IEEE International Symposium on Wearable Computers.

Person Recognition in Personal Photo Collections pdf

Seong Joon Oh, Bernt Schiele, Mario Fritz, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

How many classifiers do I need?

Bernt Schiele, B. Schiele, 2002, Object recognition supported by user interaction for service robots.

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods pdf

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2018, ICLR.

Generating Visual Explanations with Natural Language

Lisa Anne Hendricks, B. Schiele, Trevor Darrell, 2021, Applied AI Letters.

Scalable Multitask Representation Learning for Scene Classification

Bernt Schiele, Matthias Hein, Maksim Lapin, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

The Pascal Visual Object Classes Challenge 2006 ( VOC 2006 ) Results

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2006 .

Cooperative Augmentation of Smart Objects with Projector-Camera Systems

Bernt Schiele, Gerd Kortuem, Hans-Werner Gellersen, 2007, UbiComp.

What Is Holding Back Convnets for Detection?

Bernt Schiele, Tobias Ritschel, Bojan Pepik, 2015, GCPR.

Functional Object Class Detection Based on Learned Affordance Cues

Bernt Schiele, Michael Stark, Michael Zillich, 2008, ICVS.

Segmentation Based Multi-Cue Integration for Object Detection

Bernt Schiele, Krystian Mikolajczyk, Bastian Leibe, 2006, BMVC.

Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search

Bernt Schiele, Bastian Leibe, B. Schiele, 2004, DAGM-Symposium.

Vision based victim detection from unmanned aerial vehicles

Bernt Schiele, Oskar von Stryk, Stefan Kohlbrecher, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning by Sorting: Self-supervised Learning with Group Ordering Constraints

B. Schiele, Felix Petersen, Hilde Kuehne, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Recognition without Correspondence using Multidimensional Receptive Field Histograms

B. Schiele, J. Crowley, 2004, International Journal of Computer Vision.

Using Mutual Information To Combine Object Models

Bernt Schiele, Hannes Kruppa, B. Schiele, 2000 .

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks pdf

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz, 2019, ArXiv.

Object-Centric Multiple Object Tracking

B. Schiele, Tianjun Xiao, Carl-Johann Simon-Gabriel, 2023, 2309.00233.

Anti Collision System PRORETA

Hermann Winner, Rolf Isermann, Bernt Schiele, 2016 .

Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions

B. Schiele, David Stutz, Yong Guo, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-graph Based Semi-supervised Learning for Activity Recognition

Bernt Schiele, Diane Larlus, Maja Stikic, 2009, 2009 International Symposium on Wearable Computers.

Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning

B. Schiele, Dengxin Dai, Yongqin Xian, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Where to look next and what to look for

Bernt Schiele, James L. Crowley, B. Schiele, 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

Object Categorization: Computer and Human Vision Perspectives

B. Schiele, M. Tarr, 2008 .

Object Categorization: Computer and Human Vision Perspectives

B. Schiele, A. Leonardis, M. Tarr, 2022 .

Learning to teach and learn for semi-supervised few-shot image classification

Bernt Schiele, Jianqiang Huang, Xinzhe Li, 2021, Comput. Vis. Image Underst..

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

B. Schiele, Matthias Hein, Maksim Lapin, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Bernt Schiele, Mario Fritz, Marcus Rohrbach, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Unsupervised Discovery of Structure in Activity Data Using Multiple Eigenspaces

Bernt Schiele, Tâm Huynh, B. Schiele, 2006, LoCA.

Machine Learning Methods for Computer Security (dagstuhl Perspectives Workshop 12371) Machine Learning Methods for Computer Security Machine Learning Methods for Computer Security 1 Executive Summary Table of Contents

J. D. Tygar, B. Schiele, F. Roli, 2022 .

Position estimation using principal components of range data

Bernt Schiele, James L. Crowley, Frank Wallner, 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval

B. Schiele, Hilde Kuehne, Nina Shvetsova, 2023, ArXiv.

Certified Robust Models with Slack Control and Large Lipschitz Constants

B. Schiele, David Stutz, M. Losch, 2023, ArXiv.

Optimising for Interpretability: Convolutional Dynamic Alignment Networks pdf

Bernt Schiele, Mario Fritz, Moritz Böhle, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation

B. Schiele, Liwei Wang, Shaoshuai Shi, 2023, ArXiv.

SimNP: Learning Self-Similarity Priors Between Neural Points

B. Schiele, Eddy Ilg, J. E. Lenssen, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Understanding and Controlling User Linkability in Decentralized Learning pdf

Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, 2018, ArXiv.

Generating Visual Explanations

Lisa Anne Hendricks, B. Schiele, Trevor Darrell, 2016, ECCV.

DARTH: Holistic Test-time Adaptation for Multiple Object Tracking

B. Schiele, Mattia Segu, Fisher Yu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

The 2005 PASCAL Visual Object Classes Challenge

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2005, MLCW.

Unsupervised Open-Vocabulary Object Localization in Videos

B. Schiele, Tianjun Xiao, Carl-Johann Simon-Gabriel, 2023, ArXiv.

Weakly Supervised Object Boundaries

Bernt Schiele, Matthias Hein, Rodrigo Benenson, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Robust Object Detection Invariant to Real-World Domain Shifts

B. Schiele, Chi-Keung Tang, Dengxin Dai, 2023, ICLR.

SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning

B. Schiele, Yue Fan, Anna Kukleva, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Discovering Class-Specific GAN Controls for Semantic Image Synthesis

B. Schiele, A. Khoreva, Edgar Schönfeld, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Parameter-Free Spatial Attention Network for Person Re-Identification pdf

Bernt Schiele, Licheng Jiao, Haoran Wang, 2018, ArXiv.

No One Left Behind: Real-World Federated Class-Incremental Learning

B. Schiele, Dengxin Dai, Yulun Zhang, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A comparison of position estimation techniques using occupancy grids

Bernt Schiele, James L. Crowley, B. Schiele, 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

Towards Personalized Mobile Interruptibility Estimation

Bernt Schiele, Nicky Kern, B. Schiele, 2006, LoCA.

Object Categorization: Computer and Human Vision Perspectives

Dhiraj Joshi, Jie Yu, B. Schiele, 2008 .

A Convnet for Non-maximum Suppression pdf

Bernt Schiele, Rodrigo Benenson, Jan Hendrik Hosang, 2015, GCPR.

Computer vision systems

B. Schiele, G. Sagerer, 2003, Machine Vision and Applications.

Motion Transformer with Global Intention Localization and Local Movement Refinement

B. Schiele, Dengxin Dai, Shaoshuai Shi, 2022, NeurIPS.

Long-Term On-Board Prediction of Pedestrians in Traffic Scenes

Bernt Schiele, Mario Fritz, Apratim Bhattacharyya, 2017 .

Visual Context Awareness via Wearable Computing

Alex Pentland, Bernt Schiele, Thad Starner, 1998 .

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

B. Schiele, Matthias Hein, David Stutz, 2019, ICML.

Bit Error Robustness for Energy-Efficient DNN Accelerators

B. Schiele, Matthias Hein, David Stutz, 2020, MLSys.

Good Teachers Explain: Explanation-Enhanced Knowledge Distillation

B. Schiele, Sukrut Rao, Moritz Bohle, 2024, ArXiv.

Studying How to Efficiently and Effectively Guide Models with Explanations

B. Schiele, Sukrut Rao, Amin Parchami-Araghi, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

3D object recognition from range images using local feature histograms

Bernt Schiele, Bastian Leibe, Paul Levi, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Computer Vision – ECCV 2014

David J. Fleet, Bernt Schiele, Tinne Tuytelaars, 2014, Lecture Notes in Computer Science.

Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval

Bernt Schiele, Gaurav Sharma, B. Schiele, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

PoseTrackReID: Dataset Description pdf

Bernt Schiele, Juergen Gall, Shanshan Zhang, 2020, ArXiv.

Enabling Efficient Time Series Analysis for Wearable Activity Data

Bernt Schiele, Kristof Van Laerhoven, Eugen Berlin, 2009, 2009 International Conference on Machine Learning and Applications.

Towards Less Supervision in Activity Recognition from Wearable Sensors

Bernt Schiele, Tâm Huynh, B. Schiele, 2006, 2006 10th IEEE International Symposium on Wearable Computers.