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en:publis [2023/11/10 13:30] – fdavoineen:publis [2024/04/12 10:03] (current) – [⇒ News] fdavoine
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 Our paper - //Philippe Xu, Franck Davoine, Jean-Baptiste Bordes, Huijing Zhao and Thierry Denoeux, "Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding", IAPR 13th International Conference on Machine Vision Applications, Kyoto, Japan, May 20-23, 2013// - **was awarded the 2023 Most Influential Paper over the Decade Award**.  Our paper - //Philippe Xu, Franck Davoine, Jean-Baptiste Bordes, Huijing Zhao and Thierry Denoeux, "Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding", IAPR 13th International Conference on Machine Vision Applications, Kyoto, Japan, May 20-23, 2013// - **was awarded the 2023 Most Influential Paper over the Decade Award**. 
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-Our paper - //Mathieu Cocheteux, Julien Moreau, Franck Davoine. "PseudoCal: towards initialisation-free deep learning-based camera-LiDAR self-calibration", **is accepted for an oral presentation at the 34th BMVC**, Aberdeen, UK, November 20-24, 2023.// 
  
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-  * Mathieu Cocheteux, Julien Moreau, Franck Davoine. **PseudoCal: towards initialisation-free deep learning-based camera-LiDAR self-calibration**. In Proceedings of the 34th BMVC - British Machine Vision Conference, Aberdeen, UK, November 20-24, **2023**. [[https://arxiv.org/abs/2309.09855|arXiv:2309.09855]] [[https://mcocheteux.github.io/PseudoCal/|Project page]]+  * Mathieu Cocheteux, Julien Moreau, Franck Davoine. **MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration**. In proceedings of the 7th CVPR Workshop on Autonomous Driving (WAD), Seattle, WA, USA, June 17, **2024**. 
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 +  * Chenao Jiang, Julien Moreau, Franck Davoine. **Event-based Semantic-aided Motion Segmentation**. To be published in Proceedings of the 19th VISAPP - International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Rome, Italy, February 27-29, **2024**. [[https://hal.science/HEUDIASYC/hal-04355661v1|hal-04355661]] 
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 +  * Mathieu Cocheteux, Julien Moreau, Franck Davoine. **PseudoCal: towards initialisation-free deep learning-based camera-LiDAR self-calibration**. In Proceedings of the 34th BMVC - British Machine Vision Conference, Aberdeen, UK, November 20-24, **2023** [[https://papers.bmvc2023.org/0829.pdf|paper]] and [[https://bmvc2022.mpi-inf.mpg.de/BMVC2023/0829_video.mp4|video]]. [[https://mcocheteux.github.io/PseudoCal/|Project page]]
  
   * Vincent Brebion, Julien Moreau, Franck Davoine. **Learning to estimate two dense depths from LiDAR and event data**, SCIA - 22nd Scandinavian Conference on Image Analysis, Levi, Finland, April 18-21, **2023** [[https://arxiv.org/abs/2302.14444|arXiv:2302.14444]] [[https://vbrebion.github.io/ALED/|Project page]]. [[https://tub-rip.github.io/eventvision2023/|Courtesy presentation]] of the paper at the CVPR 2023 Workshop on Event-based Vision in Vancouver.   * Vincent Brebion, Julien Moreau, Franck Davoine. **Learning to estimate two dense depths from LiDAR and event data**, SCIA - 22nd Scandinavian Conference on Image Analysis, Levi, Finland, April 18-21, **2023** [[https://arxiv.org/abs/2302.14444|arXiv:2302.14444]] [[https://vbrebion.github.io/ALED/|Project page]]. [[https://tub-rip.github.io/eventvision2023/|Courtesy presentation]] of the paper at the CVPR 2023 Workshop on Event-based Vision in Vancouver.

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en/publis.1699619437.txt.gz · Last modified: 2023/11/10 13:30 by fdavoine
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