Learning to reason over visual objects

3 March 2023

Papers citing "Learning to reason over visual objects"

20 / 20 papers shown

Title
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs Kalliopi Basioti Pritish Sahu Qingze Tony Liu Zihao Xu Hao Wang Vladimir Pavlovic 30 0 0 30 Mar 2025
Evaluating Compositional Scene Understanding in Multimodal Generative Models Shuhao Fu Andrew Jun Lee Anna Wang Ida Momennejad Trevor J. Bihl Hongjing Lu Taylor W. Webb CoGe OCL 96 1 0 29 Mar 2025
Learning Visual Abstract Reasoning through Dual-Stream Networks Kai Zhao Chang Xu Bailu Si 96 1 0 29 Nov 2024
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios Shantanu Jaiswal Debaditya Roy Basura Fernando Cheston Tan ReLM LRM 66 2 0 20 Nov 2024
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem Declan Campbell Sunayana Rane Tyler Giallanza Nicolò De Sabbata Kia Ghods ... Alexander Ku Steven M. Frankland Thomas L. Griffiths Jonathan D. Cohen Taylor W. Webb 24 13 0 31 Oct 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 35 5 0 22 Jul 2024
A Unified View of Abstract Visual Reasoning Problems Mikołaj Małkiński Jacek Mañdziuk 19 0 0 16 Jun 2024
Generalization and Knowledge Transfer in Abstract Visual Reasoning Models Mikołaj Małkiński Jacek Mañdziuk 32 0 0 16 Jun 2024
Slot Abstractors: Toward Scalable Abstract Visual Reasoning S. S. Mondal Jonathan D. Cohen Taylor W. Webb OCL 21 8 0 06 Mar 2024
A Relational Inductive Bias for Dimensional Abstraction in Neural Networks Declan Campbell Jonathan D. Cohen NAI 18 2 0 28 Feb 2024
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems Mikolaj Malkiñski Jacek Mañdziuk 10 3 0 15 Dec 2023
Neural-Logic Human-Object Interaction Detection Liulei Li Jianan Wei Wenguan Wang Yi Yang 27 16 0 16 Nov 2023
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction Taylor W. Webb Steven M. Frankland Awni Altabaa Simon N. Segert Kamesh Krishnamurthy ... Tyler Giallanza Zack Dulberg Randall O'Reilly John Lafferty Jonathan D. Cohen 18 19 0 12 Sep 2023
Look, Remember and Reason: Grounded reasoning in videos with language models Apratim Bhattacharyya Sunny Panchal Mingu Lee Reza Pourreza Pulkit Madan Roland Memisevic LRM 27 7 0 30 Jun 2023
Systematic Visual Reasoning through Object-Centric Relational Abstraction Taylor W. Webb S. S. Mondal Jonathan D. Cohen OCL 20 13 0 04 Jun 2023
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers Awni Altabaa Taylor W. Webb Jonathan D. Cohen John Lafferty 17 5 0 01 Apr 2023
Emergent Analogical Reasoning in Large Language Models Taylor W. Webb K. Holyoak Hongjing Lu ReLM ELM LRM AI4CE 14 205 0 19 Dec 2022
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models Ziyi Wu Nikita Dvornik Klaus Greff Thomas Kipf Animesh Garg OCL BDL 59 87 0 12 Oct 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 107 41 0 28 Jan 2022
Emergent Symbols through Binding in External Memory Taylor W. Webb I. Sinha J. Cohen 59 62 0 29 Dec 2020