- Arnau Baró - [email protected]
- Pau Cebrián - [email protected]
- Victor Campmany - [email protected]
- Guillem Cucurull - [email protected]
The paper will be updated weekly according to the work done in the project.
Scene Understanding for Autonomous Vehicles
Slides summarizing the work done each week
- [Week 1] (https://docs.google.com/presentation/d/1V-ui0jbUjdvCARN4frC-gQrkKvEKChS92FLr5iQ614o/edit?usp=sharing)
Simonyan, K., & Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556. Paper summary
He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 770-778). [Paper summary]
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016). Rethinking the inception architecture for computer vision. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 2818-2826). Paper summary