Event Collapse in Contrast Maximization Frameworks

This repository collects our work on the topic of overfitting in event alignment frameworks, such as CMax.

• A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework, published at Advanced Intelligent Systems, 2022.

• Event Collapse in Contrast Maximization Frameworks, published at Sensors, 2022.

If you use this work in your research, please cite it as follows:

@article{Shiba22aisy,
  author = {Shintaro Shiba and Yoshimitsu Aoki and Guillermo Gallego},  
  title = {A Fast Geometric Regularizer to Mitigate Event Collapse 
  		   in the Contrast Maximization Framework},
  journal = {Advanced Intelligent Systems},
  year = {2022},
  month = {December},
  doi = {10.1002/aisy.202200251}
}

@article{Shiba22sensors,
  author = {Shintaro Shiba and Yoshimitsu Aoki and Guillermo Gallego},  
  title = {Event Collapse in Contrast Maximization Frameworks},
  journal = {Sensors},
  year = {2022},
  month = {July},
  doi = {10.3390/s22145190}
}

Authors

• Shintaro Shiba (Keio Univ., TU Berlin)
• Yoshimitsu Aoki (Keio Univ.)
• Guillermo Gallego (TU Berlin, ECDF, SCIoI)

Additional Resources on Event-based Vision

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• Secrets of Event-Based Optical Flow (ECCV 2022)
• Research page (TU Berlin RIP lab)
• Web page (Keio University, Aoki Media Lab)
• Course at TU Berlin
• Survey paper
• List of Resources