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Added the article by Guillen-Garcia et al. (2022) #322

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Added the article by Guillen-Garcia et al. (2022) #322

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Added the article by Guillen-Garcia et al. (2022) on unsupervised ada…
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Expand Up @@ -536,6 +536,9 @@ Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
- <a name="Elshair22opteng"></a>El Shair, Z., Rawashdeh, S.A.,
*[High-temporal-resolution event-based vehicle detection and tracking](https://doi.org/10.1117/1.OE.62.3.031209)*,
Optical Engineering, 2022. [dataset](http://sar-lab.net/event-based-vehicle-detection-and-tracking-dataset/).
- <a name="Guillen-Garcia22"></a>Guillen-Garcia, J., Palacios-Alonso, D., Cabello, E., Conde, C.,
*[Unsupervised adaptive multi-object tracking-by-clustering algorithm with a bio-inspired system](https://doi.org/10.1109/ACCESS.2022.3154895)*,
IEEE Access, 2022. [PDF](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9721918)
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- <a name="Messikommer23cvpr"></a>Messikommer, N., Fang, C., Gehrig, M., Scaramuzza, D.,
*[Data-driven Feature Tracking for Event Cameras](https://arxiv.org/abs/2211.12826)*,
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2023. [PDF](https://rpg.ifi.uzh.ch/docs/CVPR23_Messikommer.pdf), [YouTube](https://youtu.be/dtkXvNXcWRY), [code](https://github.com/uzh-rpg/deep_ev_tracker).
Expand Down Expand Up @@ -1820,7 +1823,8 @@ IEEE Conf. Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. [PDF
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021. [Code](https://github.com/addisonwang2013/evdistill).
- <a name="Sun22eccv"></a>Sun, Z., Messikommer, N., Gehrig, D., Scaramuzza, D.,
*[ESS: Learning Event-based Semantic Segmentation from Still Images](http://dx.doi.org/10.1007/978-3-031-19830-4_20)*,
European Conf. Computer Vision (ECCV), 2022. [PDF](https://rpg.ifi.uzh.ch/docs/ECCV22_Sun.pdf), [dataset](https://dsec.ifi.uzh.ch/dsec-semantic/), [YouTube](https://youtu.be/Tby5c9IDsDc), [code](https://github.com/uzh-rpg/ess).
European Conf. Computer Vision (ECCV), 2022. [PDF](https://rpg.ifi.uzh.ch/docs/ECCV22_Sun.pdf), [dataset](https://dsec.ifi.uzh.ch/dsec-semantic/), [YouTube](https://youtu.be/Tby5c9IDsDc), [code](https://github.com/uzh-rpg/ess).
- [Guillen-Garcia, J., Palacios-Alonso, D., Cabello, E., Conde, C., IEEE Access, 2022](#Guillen-Garcia22).
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See how other secondary entries are formatted.
Example: Bardow et al., CVPR 2016 ...

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Thanks. Using now:

- <a name="Biswas23wacv"></a>Biswas, S.D., Kosta, A., Liyanagedera, C., Apolinario, M., Roy, K.,
*[HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities](https://arxiv.org/abs/2211.10754)*,
IEEE Winter Conf. Applications of Computer Vision (WACV), 2024.
Expand Down Expand Up @@ -2411,6 +2415,7 @@ IEEE Trans. Pattern Anal. Mach. Intell., 45(1)785:795, 2022. [Full PDF incl. Sup
- <a name="Wang22icra"></a>Wang, Z., Yuan, D., Ng, Y., Mahony, R.,
*[A Linear Comb Filter for Event Flicker Removal](https://doi.org/10.1109/ICRA46639.2022.9812003)*,
IEEE Int. Conf. Robotics and Automation (ICRA), 2022. [PDF](https://arxiv.org/pdf/2205.08090.pdf), [Code and Data](https://github.com/ziweiWWANG/EFR), [Youtube](https://www.youtube.com/watch?v=1XgOknDIV00).
- [Guillen-Garcia, J., Palacios-Alonso, D., Cabello, E., Conde, C., IEEE Access, 2022](#Guillen-Garcia22).
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This does not look like a paper on event denoising... Please reconsider this link.

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The article introduces an M-out-of-N event declaration filter. Maybe I should add something like "M-out-of-N Event Declaration Filter for Improved Event Detection"?

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what's the difference with a background activity filter?

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The BAF presented by Dellbruck addresses the issue by eliminating events not supported by recent activity in the nearby periphery. The M-out-of-N filter is a generalization.

image

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So we get better results:

image

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image

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image

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The article introduces an M-out-of-N event declaration filter. Maybe I should add something like "M-out-of-N Event Declaration Filter for Improved Event Detection"?

yes, please

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Used this format:

  • Guillen-Garcia et al., IEEE Access, 2022.
    M-out-of-N Event Declaration Filter for Improved Event Detection (Unsupervised adaptive multi-object tracking-by-clustering algorithm with a bio-inspired system).

- <a name="Zhang23tci"></a>Zhang, P., Ge, Z., Song, L., Lam, E. Y.,
*[Neuromorphic Imaging with Density-based Spatiotemporal Denoising](https://doi.org/10.1109/TCI.2023.3281202)*,
IEEE Trans. Comput. Imaging (TCI), 2023. [Code](https://github.com/pz-even/ni-denoising)
Expand Down