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. 2209.09097
  4. Cited By
Disentangling Shape and Pose for Object-Centric Deep Active Inference
  Models

Disentangling Shape and Pose for Object-Centric Deep Active Inference Models

16 September 2022
Stefano Ferraro
Toon Van de Maele
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
    3DV
    OCL
    DRL
ArXivPDFHTML

Papers citing "Disentangling Shape and Pose for Object-Centric Deep Active Inference Models"

6 / 6 papers shown
Title
Dynamic planning in hierarchical active inference
Dynamic planning in hierarchical active inference
Matteo Priorelli
Ivilin Peev Stoianov
AI4CE
23
4
0
18 Feb 2024
Measuring the Effect of Causal Disentanglement on the Adversarial
  Robustness of Neural Network Models
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models
Preben Ness
D. Marijan
Sunanda Bose
CML
16
0
0
21 Aug 2023
Symmetry and Complexity in Object-Centric Deep Active Inference Models
Symmetry and Complexity in Object-Centric Deep Active Inference Models
Stefano Ferraro
Toon Van de Maele
Tim Verbelen
Bart Dhoedt
19
6
0
14 Apr 2023
Object-Centric Scene Representations using Active Inference
Object-Centric Scene Representations using Active Inference
Toon Van de Maele
Tim Verbelen
Pietro Mazzaglia
Stefano Ferraro
Bart Dhoedt
OCL
BDL
25
5
0
07 Feb 2023
Disentangled Representation Learning
Disentangled Representation Learning
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
22
77
0
21 Nov 2022
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
164
1,940
0
24 Oct 2016
1