Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge

Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge

22 November 2019

Filippo Aleotti

Matteo Poggi

Fabio Tosi

Papers citing "Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge"

9 / 9 papers shown

Title
TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network Youming Zhang Matteo Poggi S. Mattoccia 27 13 0 24 Nov 2022
Not Just Streaks: Towards Ground Truth for Single Image Deraining Yunhao Ba Howard Zhang Ethan Yang Akira Suzuki Arnold Pfahnl ... C. Melo Suya You Stefano Soatto A. Wong A. Kadambi 38 39 0 22 Jun 2022
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation Lingtong Kong Boyuan Jiang Donghao Luo Wenqing Chu Xiaoming Huang Ying Tai Chengjie Wang Jie Yang 74 146 0 29 May 2022
RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds Ramy Battrawy René Schuster M. N. Mahani D. Stricker 3DPC 13 17 0 01 Apr 2022
Neural Disparity Refinement for Arbitrary Resolution Stereo Filippo Aleotti Fabio Tosi Pierluigi Zama Ramirez Matteo Poggi Samuele Salti S. Mattoccia Luigi Di Stefano 3DV 12 26 0 28 Oct 2021
Self-Supervised Multi-Frame Monocular Scene Flow Junhwa Hur Stefan Roth MDE 24 48 0 05 May 2021
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR Rishav Rishav Ramy Battrawy René Schuster Oliver Wasenmüller D. Stricker 3DPC 27 32 0 18 Aug 2020
Distilled Semantics for Comprehensive Scene Understanding from Videos Fabio Tosi Filippo Aleotti Pierluigi Zama Ramirez Matteo Poggi Samuele Salti Luigi Di Stefano S. Mattoccia MDE 19 76 0 31 Mar 2020
Real-Time Semantic Stereo Matching Pier Luigi Dovesi Matteo Poggi Lorenzo Andraghetti Miquel Martí Hedvig Kjellström Alessandro Pieropan S. Mattoccia 3DV 24 71 0 01 Oct 2019