Learning-based depth estimation from stereo and monocular images: successes, limitations and future challenges

CVPR 2019 Tutorial: Learning-based depth estimation from stereo and monocular images: successes, limitations and future challenges

Location: 204

Date: Monday, June 17

Time: 9.00 AM - 12.30 AM

Organizers

Postdoctoral Fellow, Department of Computer Science and Engineering, University of Bologna

PhD student, Department of Computer Science and Engineering, University of Bologna

PhD student, Department of Computer Science , Stevens Institute of Technology

Associate Professor, Department of Computer Science , Stevens Institute of Technology

Associate Professor, Department of Computer Science and Engineering, University of Bologna

Schedule

  • Introduction and welcome (Organizers) [PDF]
  • Confidence measures and early machine-learning for stereo (S. Mattoccia) [PDF]
  • Learning-based matching functions (K. Batsos) [PDF]
  • Learning for optimization and post-processing (P. Mordohai) [PDF]

Coffe break

  • End-to-end stereo (M. Poggi) [PDF]
  • Domain shift and adaptation techniques (M. Poggi) [PDF]
  • Learning monocular depth estimation from stereo supervision (F. Tosi) [PDF]