Learnable Cost Volume Using the Cayley Representation

Learnable Cost Volume Using the Cayley Representation

21 July 2020

Ming-Hsuan Yang

Papers citing "Learnable Cost Volume Using the Cayley Representation"

8 / 8 papers shown

Title
Self-supervised AutoFlow Hsin-Ping Huang Charles Herrmann Junhwa Hur Erika Lu Kyle Sargent Austin Stone Ming Yang Deqing Sun 32 8 0 04 Dec 2022
FlowNAS: Neural Architecture Search for Optical Flow Estimation Zhiwei Lin Tingting Liang Taihong Xiao Yongtao Wang Zhi Tang Ming-Hsuan Yang 21 0 0 04 Jul 2022
Disentangling Architecture and Training for Optical Flow Deqing Sun Charles Herrmann F. Reda Michael Rubinstein David Fleet William T. Freeman 3DPC OOD 66 34 0 21 Mar 2022
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving Haowen Shi Yifan Zhou Kailun Yang X. Yin Kaiwei Wang 3DPC 27 17 0 02 Feb 2022
Sensor-Guided Optical Flow Matteo Poggi Filippo Aleotti S. Mattoccia 25 5 0 30 Sep 2021
DCVNet: Dilated Cost Volume Networks for Fast Optical Flow Huaizu Jiang Erik Learned-Miller 3DPC 29 5 0 31 Mar 2021
Accurate Visual-Inertial SLAM by Feature Re-identification Xiongfeng Peng Zhihua Liu Qiang Wang Y. Kim Myungjae Jeon 28 4 0 26 Feb 2021
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 19 76 0 16 Sep 2020