https://openreview.net/forum?id=nIko6QDKTa&referrer=%5Bthe%20profile%20of%20Tianle%20Chen%5D(%2Fprofile%3Fid%3D~Tianle_Chen2)
Improving Physical Object State Representation in Text-to-Image Generative Systems | OpenReview
Current text-to-image generative models struggle to accurately represent object states (e.g., "a table without a bottle," "an empty tumbler"). In this work, we...
text to imagephysical objectstate representation
https://deepai.org/publication/densephysnet-learning-dense-physical-object-representations-via-multi-step-dynamic-interactions
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions |...
Jun 10, 2019 - 06/10/19 - We study the problem of learning physical object representations for robot manipulation. Understanding object physics is critical ...
physical objectlearningdense
https://apricot.mitre.org/
APRICOT | A Dataset of Physical Adversarial Attacks on Object Detection
adversarial attacksapricotdatasetphysicalobject
https://deepai.org/publication/dangerous-cloaking-natural-trigger-based-backdoor-attacks-on-object-detectors-in-the-physical-world
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical...
Jan 21, 2022 - 01/21/22 - Deep learning models have been shown to be vulnerable to recent backdoor attacks. A backdoored model behaves normally for inputs c...
https://deepai.org/publication/upc-learning-universal-physical-camouflage-attacks-on-object-detectors
UPC: Learning Universal Physical Camouflage Attacks on Object Detectors | DeepAI
Sep 10, 2019 - 09/10/19 - In this paper, we study physical adversarial attacks on object detectors in the wild. Prior arts on this matter mostly craft insta...
upclearninguniversalphysicalcamouflage