Publications

  • M. Skalicky, S. Simsa, M. Uricar, M. Sulc. Business Document Information Extraction: Towards Practical Benchmarks. Accepted to CLEF 2022. [arXiv]
  • M. Uricar, G. Sistu, L. Yahiaoui, S. Yogamani. Ensemble-Based Semi-Supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving. ITSC 2021. [arXiv]
  • A. Vobecky, D. Hurych, M. Uricar, P. Perez, J. Sivic. Artificial Dummies for Urban Dataset Augmentation. AAAI 2021. [arXiv]
  • M. Uricar, G. Sistu, H. Rashed, A. Vobecky, V. R. Kumar, P. Krizek, F. Burger, S. Yogamani. Let’s Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving. WACV 2021. [PDF]
  • A. Das, P. Krizek, G. Sistu, F. Burger, S. Madasamy, M. Uricar, V. R. Kumar, S. Yogamani. TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric. ITSC 2020. [arXiv]
  • M. Uricar, H. Rashed, A. Ranga, A. Dahal, S. Yogamani. VisibilityNet: Camera Visibility Detection and Image Restoration for Autonomous Driving. Electronic Imaging 2020.
  • L. Yahiaoui, M. Uricar, A. Das, S. Yogamani. Let the Sunshine in: Sun Glare Detection on Automotive Surround-view Cameras. Electronic Imaging 2020.
  • P. Maddu, W. Doherty, G. Sistu, I. Leang, M. Uricar, S. Chennupati, H. Rashed, J. Horgan, C. Hughes, S. Yogamani. FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System. IMVIP 2019.
  • A. Vobecky, M. Uricar, D. Hurych, R. Skoviera. Advanced Pedestrian Dataset Augmentation for Autonomous Driving. ICCV Workshops 2019. [PDF]
  • M. Uricar, J. Ulicny, G. Sistu, H. Rashed, P. Krizek, D. Hurych, A. Vobecky, S. Yogamani. Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras. ICCV Workshops 2019. [PDF]
  • S. Yogamani, C. Hughes, J. Horgan, G. Sistu, P. Varley, D. O’Dea, M. Uricar, S. Milz, M. Simon, K. Amende, C. Witt, H. Rashed, S. Chennupati, S. Nayak, S. Mansoor, X. Perroton, P. Perez. Woodscape: A Multi-task, Multi-camera Fisheye Dataset for Autonomous Driving. ICCV 2019. Oral Presentation. [PDF]
  • M. Uricar, P. Krizek, G. Sistu, S. Yogamani. SoilingNet: Soiling Detection on Autonomous Surround-view Cameras. ITSC 2019. [arXiv]
  • M. Uricar, D. Hurych, P. Krizek, S. Yogamani. Challenges in Designing Datasets and Validation for Autonomous Driving. VISAPP ‘19. [arXiv]
  • M. Uricar, P. Krizek, I. Sobh, D. Hurych, S. Yogamani, P. Denny. Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. Electronic Imaging 2019. [arXiv]
  • M. Uricar, P. Krizek, D. Hurych, S. Yogamani. Towards optimal design of datasets and validation scheme for autonomous driving. CRACT: Critiquing and Correcting Trends in Machine Learning, NeurIPS Workshops, 2018.
  • M. Uricar, R. Timofte, R. Rothe, J. Matas. Structured Output SVM Prediction of Apparent Age, Gender and Smile From Deep Features. CVPRw 2016. 3rd place on the Apperant Age Track of the LAP 2016 Challenge. [PDF]
  • M. Uricar, V. Franc, D. Thomas, A. Sugimoto, and V. Hlavac. Multi-view facial landmark detector learned by the Structured Output SVM. Image and Vision Computing, 2016. [PDF]
  • J. Cech, V. Franc, M. Uricar, and J. Matas. Multi-view facial landmark detection by using a 3D shape model. Image and Vision Computing, 2016.
  • M. Uricar, V. Franc, and V. Hlavac. Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector. 300VW: The IEEE International Conference on Computer Vision (ICCV) Workshops, 2015. [PDF]
  • M. Uricar, V. Franc, D. Thomas, A. Sugimoto, and V. Hlavac. Real-time Multi-view Facial Landmark Detector Learned by the Structured Output SVM. BWILD ‘15: International Workshop on Biometrics in the Wild, 2015.
  • M. Uricar, V. Franc, and V. Hlavac. Bundle Methods for Structured Output Learning - Back to the Roots. SCIA 2013. [PDF]
  • M. Uricar, V. Franc and V. Hlavac. Detector of Facial Landmarks Learned by the Structured Output SVM. VISAPP ‘12: Proceedings of the 7th International Conference on Computer Vision Theory and Applications, 2012. Received Best Paper Award. [PDF]
  • M. Uricar and V. Franc. Efficient Algorithm for Regularized Risk Minimization. CVWW 2012. [PDF]