Hauptinhalt

Zehn ausgewählte Publikationen

•  Steitz JM, Roth S (2024).
  Adapters Strike Back.
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 23449–23459.
  
  
• Sudhakaran G, Dhami DS, Kersting K, Roth S (2023).
  Vision Relation Transformer for Unbiased Scene Graph Generation.
  IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 21882–21893.
  DOI: 10.1109/ICCV51070.2023.02000 
  
  
•  Araslanov N, Schaub-Meyer S, Roth S (2021).
  Dense Unsupervised Learning for Video Segmentation. 
  Advances in Neural Information Processing Systems (NeurIPS), 34, 25308–25319.
  
  
• Hesse R, Schaub-Meyer S, Roth S (2021).
  Fast Axiomatic Attribution for Neural Networks.
  Advances in Neural Information Processing Systems (NeurIPS), vol. 34, pp. 19513–19524.
  
  
• Araslanov N, Roth S (2021).
  Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15384–15394.
  DOI: 10.1109/CVPR46437.2021.01513 
  
  
• Araslanov N, Rothkopf C, Roth S (2019).
  Actor-Critic Instance Segmentation. 
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 8229–8231.
  DOI: 10.1109/CVPR.2019.00843
  
  
• Gast J, Roth S (2018).
  Lightweight Probabilistic Deep Networks. 
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 3369–3378.
  DOI: 10.1109/CVPR.2018.00355 
  
  
• Meister S, Hur J, Roth S (2018).
  UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss.  
  Proceedings of the AAAI Conference on Artificial Intelligence. New Orleans, USA, 7251–7259.
  DOI: 10.1609/aaai.v32i1.12276
  
  
• Plötz T, Roth S (2018).
  Neural Nearest Neighbors Networks.
  Advances in Neural Information Processing Systems (NeuIPS). Montreal, Canada, 1095–1106.
  
  
• Cordts M, Omran M, Ramos S, Scharwächter T, Enzweiler M, Benenson R, Franke U, Roth S, Schiele B (2016).
  The Cityscapes Dataset for Semantic Urban Scene Understanding. 
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 3213–3223.
  DOI: 10.1109/CVPR.2016.350