CNN based Patch Matching for Optical Flow with Thresholded Hinge Loss
By Christian Bailer, Kiran Varanasi, Didier Stricker. 2016
24 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tonmoy Saikia
- Eddy Ilg
- Thomas Brox
- Sergey I. Nikolenko
- Wenguan Wang
- Alexey Dosovitskiy
- Andrea Vedaldi
- Cordelia Schmid
Citations in the corpus
- FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks (2016, methodology): “[3] learn image patch descriptors using Siamese network architectures.”
- Generating Liquid Simulations with Deformation-aware Neural Networks (2017, methodology): “Due to its focus on deformations, our work also shares similarities with methods for optical flow inference and image correspondences [2, 11, 33, 18].”