Reading Group @ IPLAB
Academic Year 2019/2020
| Date | Time | Speaker | Paper | Material |
|---|---|---|---|---|
| 18/03/2020 | 15-17 | Antonino Furnari | Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017. | Paper |
| 25/03/2020 | 15-17 | Alessandro Ortis | Sutskever, Ilya, Oriol Vinyals, and Quoc V. Le. "Sequence to sequence learning with neural networks." Advances in neural information processing systems. 2014. | Paper Oral Presentation |
| 01/04/2020 | 15-17 | Daniele Di Mauro | Sabour, Sara, Nicholas Frosst, and Geoffrey E. Hinton. "Dynamic routing between capsules." Advances in neural information processing systems. 2017. | Paper |
| 15/04/2020 | 15-17 | Francesco Ragusa | Wang, T., Anwer, R.M., Khan, M.H., Khan, F.S., Pang, Y., Shao, L., & Laaksonen, J. (2019). Deep Contextual Attention for Human-Object Interaction Detection. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 5693-5701. | Paper |
| 22/04/2020 | 15-17 | Santi Orlando | Wang, W., Tran, D., & Feiszli, M. (2019). What Makes Training Multi-Modal Networks Hard?. arXiv preprint arXiv:1905.12681. | Paper |
| 29/04/2020 | 15-17 | Marco Rosano | Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov. Learning to Explore Using Active Neural SLAM | Paper |
| 06/05/2020 | 15-17 | Pietro Maugeri | Agrawal, Manindra, et al. “PRIMES Is in P.” Annals of Mathematics, vol. 160, no. 2, 2004, pp. 781–793. JSTOR, www.jstor.org/stable/3597229. Accessed 14 Apr. 2020 | Paper |
| 13/05/2020 | 15-17 | Giovanna Pappalardo | Shin, Younghak, Hemin Ali Qadir, and Ilangko Balasingham. "Abnormal colon polyp image synthesis using conditional adversarial networks for improved detection performance." IEEE Access 6 (2018): 56007-56017. | Paper |
| 20/05/2020 | 15-17 | Ronja Möller | Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, Kristen Grauman. (2019). Audio-Visual Embodied Navigation. arXiv preprint arXiv:1912.11474. | Paper |
| 27/05/2020 | 15-17 | Ivan Rodin | Giuliari, Francesco, et al. Transformer Networks for Trajectory Forecasting. 2020 | Paper |
| 10/06/2020 | 15-17 | Francesca Trenta | Chassagnon, Guillaume & Vakalopoulou, Maria & Battistella, Enzo & Christodoulidis, Stergios & TN, Hoang & Dangeard, Severine & Deutsch, Eric & Andre, Fabrice & Guillo, Enora & Halm, Nara & Hajj, Stefany & Bompard, Florian & Neveu, Sophie & Hani, Chahinez & Saab, Ines & Campredon, Alienor & Koulakian, Hasmik & Bennani, Souhail & Freche, Gael & Paragios, Nikos. (2020). AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. 10.1101/2020.04.17.20069187. | Paper |
| 01/07/2020 | 15-17 | Federico Savasta | Dan Boneh and Saba Eskandarian and Lucjan Hanzlik and Nicola Greco, Single Secret Leader Election, Cryptology ePrint Archive, Report 2020/025, 2020 | Paper |
| 07/10/2020 | 16-18 | Giuseppe Puglisi | Chen, K., de Vicente, J. P., Sepulveda, G., Xia, F., Soto, A., Vázquez, M., & Savarese, S. (2019). A behavioral approach to visual navigation with graph localization networks. arXiv preprint arXiv:1903.00445. | Paper |