research
∙
05/11/2023
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
Current adversarial attacks on motion estimation, or optical flow, optim...
share
research
∙
03/03/2023
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
While recent methods for motion and stereo estimation recover an unprece...
research
∙
10/30/2022
High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022)
In this report, we present our optical flow approach, MS-RAFT+, that won...
research
∙
10/20/2022
Attacking Motion Estimation with Adversarial Snow
Current adversarial attacks for motion estimation (optical flow) optimiz...
research
∙
07/25/2022
Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based Optical FLow Estimation
Many classical and learning-based optical flow methods rely on hierarchi...
research
∙
07/12/2022
M-FUSE: Multi-frame Fusion for Scene Flow Estimation
Recently, neural network for scene flow estimation show impressive resul...
research
∙
05/13/2022
Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs
Blind inpainting algorithms based on deep learning architectures have sh...
research
∙
03/24/2022
A Perturbation Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow
Recent optical flow methods are almost exclusively judged in terms of ac...
research
∙
01/10/2020
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification
Current benchmarks for optical flow algorithms evaluate the estimation e...
research
∙
01/16/2019
Technical Report on Visual Quality Assessment for Frame Interpolation
Current benchmarks for optical flow algorithms evaluate the estimation q...
research
∙
06/03/2018
