Roth, Stefan

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

A Database and Evaluation Methodology for Optical Flow

Baker, S., Scharstein, D., Lewis, J. P., Roth, S., Black, M. J., & Szeliski, R. (2011) · International Journal of Computer Vision

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 2,205

MOT16: A Benchmark for Multi-Object Tracking

Milan, A., Leal-Taixe, L., Reid, I., Roth, S., & Schindler, K. (2016) · arXiv

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 1,309

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

Fields of Experts

Roth, S., & Black, M. J. (2009) · International Journal of Computer Vision

Image and Signal Denoising MethodsGenerative Adversarial Networks and Image Synthesis

Cited by 847

MOT20: A benchmark for multi object tracking in crowded scenes

Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., Roth, S., Schindler, K., & Leal-Taixé, L. (2020) · arXiv

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 779

A Database and Evaluation Methodology for Optical Flow

Baker, S., Roth, S., Scharstein, D., Black, M. J., Lewis, J. P., & Szeliski, R. (2007) · 2007 IEEE 11th International Conference on Computer Vision

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 618

Shrinkage Fields for Effective Image Restoration

Schmidt, U., & Roth, S. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 543

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking

Dendorfer, P., Os̆ep, A., Milan, A., Schindler, K., Cremers, D., Reid, I., Roth, S., & Leal-Taixé, L. (2021) · International Journal of Computer Vision

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 374

FusionFlow: Discrete-continuous optimization for optical flow estimation

Lempitsky, V., Roth, S., & Rother, C. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 145

On the spatial statistics of optical flow

Roth, S., & Black, M. J. (2005) · Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 95

How Well Do Filter-Based MRFs Model Natural Images?

Gao, Q., & Roth, S. (2012) · Lecture Notes in Computer Science

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 22