ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.06716
  4. Cited By
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation

Distracting Downpour: Adversarial Weather Attacks for Motion Estimation

11 May 2023
Jenny Schmalfuss
Lukas Mehl
Andrés Bruhn
    AAML
ArXivPDFHTML

Papers citing "Distracting Downpour: Adversarial Weather Attacks for Motion Estimation"

3 / 3 papers shown
Title
Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri
Julia Grabinski
M. Keuper
30
6
0
29 Nov 2023
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene
  Flow, Optical Flow and Stereo
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
Lukas Mehl
Jenny Schmalfuss
Azin Jahedi
Yaroslava Nalivayko
Andrés Bruhn
VGen
36
57
0
03 Mar 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise
  prediction tasks
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri
Steffen Jung
M. Keuper
AAML
37
21
0
04 Feb 2023
1