Unifying (Machine) Vision via Counterfactual World Modeling

2 June 2023

Papers citing "Unifying (Machine) Vision via Counterfactual World Modeling"

7 / 7 papers shown

Title
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals Stefan Stojanov David Wendt Seungwoo Kim R. Venkatesh Kevin T. Feigelis Jiajun Wu Daniel L. K. Yamins SSL 101 0 0 25 Mar 2025
Brain-Model Evaluations Need the NeuroAI Turing Test Jenelle Feather Meenakshi Khosla N. Apurva Ratan Murty Aran Nayebi 158 6 0 22 Feb 2025
World Models: The Safety Perspective Zifan Zeng Chongzhe Zhang Feng Liu Joseph Sifakis Qunli Zhang Shiming Liu Peng Wang KELM LLMAG 86 2 0 12 Nov 2024
Counterfactual World Modeling for Physical Dynamics Understanding Rahul Venkatesh Honglin Chen Kevin T. Feigelis Daniel M. Bear Khaled Jedoui ... Wanhee Lee Sherry Liu Kevin A. Smith Judith E. Fan Daniel L. K. Yamins VGen 94 2 0 11 Dec 2023
Learning from One Continuous Video Stream João Carreira Michael King Viorica Patraucean Dilara Gokay Catalin Ionescu ... Joseph Heyward Carl Doersch Y. Aytar Dima Damen Andrew Zisserman CLL 91 6 0 01 Dec 2023
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping Vincent Mallet Zhengqing Wu M. Ovsjanikov 92 5 0 28 Sep 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes Aran Nayebi R. Rajalingham M. Jazayeri G. R. Yang 82 20 0 19 May 2023