CVPR 2021 Open Access Repository

Event-Based Vision

Comparing Representations in Tracking for Event Camera-Based SLAM: Jianhao Jiao,

Huaiyang Huang,

Liang Li,

Zhijian He,

Yilong Zhu,

Ming Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Jiao_2021_CVPR, author = {Jiao, Jianhao and Huang, Huaiyang and Li, Liang and He, Zhijian and Zhu, Yilong and Liu, Ming}, title = {Comparing Representations in Tracking for Event Camera-Based SLAM}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1369-1376} }
v2e: From Video Frames to Realistic DVS Events: Yuhuang Hu,

Shih-Chii Liu,

Tobi Delbruck; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Yuhuang and Liu, Shih-Chii and Delbruck, Tobi}, title = {v2e: From Video Frames to Realistic DVS Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1312-1321} }
Live Demonstration: Incremental Motion Estimation for Event-Based Cameras by Dispersion Minimisation: Urbano Miguel Nunes,

Yiannis Demiris; [pdf]
[bibtex]
@InProceedings{Nunes_2021_CVPR, author = {Nunes, Urbano Miguel and Demiris, Yiannis}, title = {Live Demonstration: Incremental Motion Estimation for Event-Based Cameras by Dispersion Minimisation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1322-1323} }
Image Reconstruction From Neuromorphic Event Cameras Using Laplacian-Prediction and Poisson Integration With Spiking and Artificial Neural Networks: Hadar Cohen Duwek,

Albert Shalumov,

Elishai Ezra Tsur; [pdf]
[bibtex]
@InProceedings{Duwek_2021_CVPR, author = {Duwek, Hadar Cohen and Shalumov, Albert and Tsur, Elishai Ezra}, title = {Image Reconstruction From Neuromorphic Event Cameras Using Laplacian-Prediction and Poisson Integration With Spiking and Artificial Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1333-1341} }
Feedback Control of Event Cameras: Tobi Delbruck,

Rui Graca,

Marcin Paluch; [pdf] [arXiv]
[bibtex]
@InProceedings{Delbruck_2021_CVPR, author = {Delbruck, Tobi and Graca, Rui and Paluch, Marcin}, title = {Feedback Control of Event Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1324-1332} }
Differentiable Event Stream Simulator for Non-Rigid 3D Tracking: Jalees Nehvi,

Vladislav Golyanik,

Franziska Mueller,

Hans-Peter Seidel,

Mohamed Elgharib,

Christian Theobalt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nehvi_2021_CVPR, author = {Nehvi, Jalees and Golyanik, Vladislav and Mueller, Franziska and Seidel, Hans-Peter and Elgharib, Mohamed and Theobalt, Christian}, title = {Differentiable Event Stream Simulator for Non-Rigid 3D Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1302-1311} }
DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring Dataset for Real-World Outdoor Scenarios: Tobias Bolten,

Regina Pohle-Frohlich,

Klaus D. Tonnies; [pdf]
[bibtex]
@InProceedings{Bolten_2021_CVPR, author = {Bolten, Tobias and Pohle-Frohlich, Regina and Tonnies, Klaus D.}, title = {DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring Dataset for Real-World Outdoor Scenarios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1348-1357} }
A Cortically-Inspired Architecture for Event-Based Visual Motion Processing: From Design Principles to Real-World Applications: Francesca Peveri,

Simone Testa,

Silvio P. Sabatini; [pdf]
[bibtex]
@InProceedings{Peveri_2021_CVPR, author = {Peveri, Francesca and Testa, Simone and Sabatini, Silvio P.}, title = {A Cortically-Inspired Architecture for Event-Based Visual Motion Processing: From Design Principles to Real-World Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1395-1402} }
Detecting Stable Keypoints From Events Through Image Gradient Prediction: Philippe Chiberre,

Etienne Perot,

Amos Sironi,

Vincent Lepetit; [pdf]
[bibtex]
@InProceedings{Chiberre_2021_CVPR, author = {Chiberre, Philippe and Perot, Etienne and Sironi, Amos and Lepetit, Vincent}, title = {Detecting Stable Keypoints From Events Through Image Gradient Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1387-1394} }
EFI-Net: Video Frame Interpolation From Fusion of Events and Frames: Genady Paikin,

Yotam Ater,

Roy Shaul,

Evgeny Soloveichik; [pdf] [supp]
[bibtex]
@InProceedings{Paikin_2021_CVPR, author = {Paikin, Genady and Ater, Yotam and Shaul, Roy and Soloveichik, Evgeny}, title = {EFI-Net: Video Frame Interpolation From Fusion of Events and Frames}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1291-1301} }
How To Calibrate Your Event Camera: Manasi Muglikar,

Mathias Gehrig,

Daniel Gehrig,

Davide Scaramuzza; [pdf] [arXiv]
[bibtex]
@InProceedings{Muglikar_2021_CVPR, author = {Muglikar, Manasi and Gehrig, Mathias and Gehrig, Daniel and Scaramuzza, Davide}, title = {How To Calibrate Your Event Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1403-1409} }
Lifting Monocular Events to 3D Human Poses: Gianluca Scarpellini,

Pietro Morerio,

Alessio Del Bue; [pdf] [arXiv]
[bibtex]
@InProceedings{Scarpellini_2021_CVPR, author = {Scarpellini, Gianluca and Morerio, Pietro and Del Bue, Alessio}, title = {Lifting Monocular Events to 3D Human Poses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1358-1368} }
Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network: Thomas Barbier,

Celine Teuliere,

Jochen Triesch; [pdf] [supp]
[bibtex]
@InProceedings{Barbier_2021_CVPR, author = {Barbier, Thomas and Teuliere, Celine and Triesch, Jochen}, title = {Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1377-1386} }
N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation: Marco Cannici,

Chiara Plizzari,

Mirco Planamente,

Marco Ciccone,

Andrea Bottino,

Barbara Caputo,

Matteo Matteucci; [pdf]
[bibtex]
@InProceedings{Cannici_2021_CVPR, author = {Cannici, Marco and Plizzari, Chiara and Planamente, Mirco and Ciccone, Marco and Bottino, Andrea and Caputo, Barbara and Matteucci, Matteo}, title = {N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1342-1347} }