Schiele, Bernt

The Cityscapes Dataset for Semantic Urban Scene Understanding

Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 12,433

Generative Adversarial Text to Image Synthesis

Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., & Lee, H. (2016) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 2,494

Springer Handbook of Robotics

Stark, M., Schiele, B., & Leonardis, A. (2016) · Springer Handbooks

Industrial Automation and Control SystemsFlexible and Reconfigurable Manufacturing Systems

Cited by 2,122

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

Xian, Y., Lampert, C. H., Schiele, B., & Akata, Z. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,678

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

Bulling, A., Blanke, U., & Schiele, B. (2014) · ACM Computing Surveys

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 1,668

The Cityscapes Dataset for Semantic Urban Scene Understanding

Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016) · arXiv

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 1,174

Feature Generating Networks for Zero-Shot Learning

Xian, Y., Lorenz, T., Schiele, B., & Akata, Z. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis

Cited by 1,080

CityPersons: A Diverse Dataset for Pedestrian Detection

Zhang, S., Benenson, R., & Schiele, B. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 1,061

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

Xian, Y., Schiele, B., & Akata, Z. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 891

The 2005 PASCAL Visual Object Classes Challenge

Everingham, M., Zisserman, A., Williams, C. K. I., Van Gool, L., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorkó, G., et al. (2006) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 765

Learning Non-maximum Suppression

Hosang, J., Benenson, R., & Schiele, B. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 736

What Makes for Effective Detection Proposals?

Hosang, J., Benenson, R., Dollar, P., & Schiele, B. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 727

Knockoff Nets: Stealing Functionality of Black-Box Models

Orekondy, T., Schiele, B., & Fritz, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 549

Generating Visual Explanations

Hendricks, L. A., Akata, Z., Rohrbach, M., Donahue, J., Schiele, B., & Darrell, T. (2016) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 534

A database for fine grained activity detection of cooking activities

Rohrbach, M., Amin, S., Andriluka, M., & Schiele, B. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 521

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

Omran, M., Lassner, C., Pons-Moll, G., Gehler, P., & Schiele, B. (2018) · 2018 International Conference on 3D Vision (3DV)

Human Pose and Action RecognitionFace recognition and analysis

Cited by 498

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Park, D. H., Hendricks, L. A., Akata, Z., Rohrbach, A., Schiele, B., Darrell, T., & Rohrbach, M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 418

Filtered channel features for pedestrian detection

Zhang, S., Benenson, R., & Schiele, B. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 395

Multi-cue onboard pedestrian detection

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

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 350

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting

Liu, Y., Su, Y., Liu, A.-A., Schiele, B., & Sun, Q. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 309

Towards Reverse-Engineering Black-Box Neural Networks

Oh, S. J., Schiele, B., & Fritz, M. (2019) · Lecture Notes in Computer Science

Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)

Cited by 291

Disentangling Adversarial Robustness and Generalization

Stutz, D., Hein, M., & Schiele, B. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningStochastic Gradient Optimization Techniques

Cited by 223

How good are detection proposals, really?

Hosang, J., Benenson, R., & Schiele, B. (2014) · Proceedings of the British Machine Vision Conference 2014

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 215

Motion Transformer with Global Intention Localization and Local Movement Refinement

Shi, S., Jiang, L., Dai, D., & Schiele, B. (2022) · arXiv

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 195