• F. Aleotti, M. Poggi, F. Tosi, S. Mattoccia, "Learning end-to-end scene flow by distilling single tasks knowledge", accepted at the 34th AAAI Conference on Artificial Intelligence, New York, US, February 7-12, 2020
  • Fabio Tosi, Filippo Aleotti, Matteo Poggi and Stefano Mattoccia, "Learning monocular depth estimation infusing traditional stereo knowledge", accepted at The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), June 16-21, 2019, Long Beach, California, US. (PDF)(CODE)
  • M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, "Towards real-time unsupervised monocular depth estimation on CPU", accepted at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), October 1-5, 2018, Madrid, Spain. (PDF)(CODE)(VIDEO)
  • F. Aleotti, F. Tosi, M. Poggi, S. Mattoccia, "Generative Adversarial Networks for unsupervised monocular depth prediction", accepted at 3D Reconstruction in the Wild 2018 (3DRW 2018), in conjunction with (ECCV 2018), Munich, Germany, September 14, 2018. (PDF)