Monoprob Self Supervised Monocular Depth

Authors: Rémi Marsal; Florian Chabot; Angélique Loesch; William Grolleau; Hichem Sahbi Description:

Authors: Chen, Xingyu; Zhang, Ruonan; Jiang, Ji; Wang, Yan; Li, Ge; Li, Thomas H* Description:

Authors: Chen, Xingyu; Li, Thomas H; Zhang, Ruonan; Li, Ge* Description: We present two versatile methods to generally ...

Authors: Vitor Guizilini, Rareș Ambruș, Sudeep Pillai, Allan Raventos, Adrien Gaidon Description: Although cameras are ...

We developed a state-of-the-art approach to adverse weather and image degradation.

MaLGa Seminar Series - Machine Learning and Vision. Speaker: Junhwa Hur Affiliation: TU-Darmstadt Title:

Self

Authors: Petrovai, Andra*; Nedevschi, Sergiu Description:

In this talk, we will present our latest developments in

The Temporal Opportunist:

How can an AI learn

Self

Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belen Luque, Matteo Poggi, Alessandro Pieropan, Stefano ...

Authors: Junhwa Hur, Stefan Roth Description: Scene flow estimation has been receiving increasing attention for 3D environment ...

This is a presentation video of our recent research on

UnRectDepthNet:

[CVPR2024 ]Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation

Learn all the ways Microsoft is a part of CVPR 2020: https://www.microsoft.com/en-us/research/event/cvpr-2020/

Using larger baselines for

E In Son (Electrical Engineering) Myung-woo Woo (Electrical Engineering) Jihoon Hwang (Electrical Engineering) ...