Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs

29 June 2013

Papers citing "Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs"

50 / 54 papers shown

Title
Can Large Language Models Understand Symbolic Graphics Programs? Zeju Qiu Weiyang Liu Haiwen Feng Zhen Liu Tim Z. Xiao Katherine M. Collins J. Tenenbaum Adrian Weller Michael J. Black Bernhard Schölkopf 123 14 0 15 Aug 2024
Re-Thinking Inverse Graphics With Large Language Models Peter Kulits Haiwen Feng Weiyang Liu Victoria Fernandez-Abrevaya Michael J. Black AI4CE 92 9 0 23 Apr 2024
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes Nishad Gothoskar Matin Ghavami Eric Li Aidan Curtis Michael Noseworthy ... Brian Patton William T. Freeman Joshua B. Tenenbaum Mirko Klukas Vikash K. Mansinghka BDL 3DV 64 3 0 14 Dec 2023
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation Guangyao Zhou Nishad Gothoskar Lirui Wang J. Tenenbaum Dan Gutfreund Miguel Lazaro-Gredilla Dileep George Vikash K. Mansinghka 3DV BDL 68 2 0 07 Feb 2023
Differentiable Rendering for Pose Estimation in Proximity Operations R. Bhaskara Roshan Thomas Eapen M. Majji 48 0 0 24 Dec 2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images Matthew D. Hoffman T. Le Pavel Sountsov Christopher Suter Ben Lee Vikash K. Mansinghka Rif A. Saurous BDL 75 14 0 27 Oct 2022
Meta-simulation for the Automated Design of Synthetic Overhead Imagery Handi Yu Simiao Ren L. Collins Jordan M. Malof 124 1 0 19 Sep 2022
Designing Perceptual Puzzles by Differentiating Probabilistic Programs Kartik Chandra Tzu-Mao Li J. Tenenbaum Jonathan Ragan-Kelley AAML 39 21 0 26 Apr 2022
3DP3: 3D Scene Perception via Probabilistic Programming Nishad Gothoskar Marco F. Cusumano-Towner Ben Zinberg Matin Ghavamizadeh Falk Pollok A. Garrett J. Tenenbaum Dan Gutfreund Vikash K. Mansinghka 3DV 69 50 0 30 Oct 2021
Neural Articulated Radiance Field Atsuhiro Noguchi Xiao Sun Stephen Lin Tatsuya Harada 3DH AI4CE 100 224 0 07 Apr 2021
Convergence of Griddy Gibbs Sampling and other perturbed Markov chains Vu C. Dinh A. Rundell G. Buzzard 76 4 0 29 Mar 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 313 267 0 09 Dec 2020
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen Dinghuai Zhang Michael U. Gutmann Aaron Courville Zhanxing Zhu 419 85 0 20 Oct 2020
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation Jeevan Devaranjan Amlan Kar Sanja Fidler 76 89 0 20 Aug 2020
Transflow Learning: Repurposing Flow Models Without Retraining Andrew Gambardella A. G. Baydin Philip Torr DRL AI4CE 92 8 0 29 Nov 2019
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 100 47 0 29 Oct 2019
Analytical Derivatives for Differentiable Renderer: 3D Pose Estimation by Silhouette Consistency Zaiqiang Wu Wei Jiang 34 4 0 19 Jun 2019
Real-time Approximate Bayesian Computation for Scene Understanding J. Felip Nilesh A. Ahuja D. Gómez‐Gutiérrez Omesh Tickoo Vikash K. Mansinghka 12 1 0 22 May 2019
Learning Programmatically Structured Representations with Perceptor Gradients Svetlin Penkov S. Ramamoorthy 58 10 0 02 May 2019
Meta-Sim: Learning to Generate Synthetic Datasets Amlan Kar Aayush Prakash Ming-Yuan Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler 144 252 0 25 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 76 118 0 04 Apr 2019
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning Shichen Liu Tianye Li Weikai Chen Hao Li 3DV 95 697 0 03 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 61 246 0 27 Mar 2019
Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction Shichen Liu Weikai Chen Tianye Li Hao Li 93 97 0 17 Jan 2019
Dynamic Likelihood-free Inference via Ratio Estimation (DIRE) Traiko Dinev Michael U. Gutmann 148 27 0 23 Oct 2018
Inference Over Programs That Make Predictions Yura N. Perov 35 2 0 02 Oct 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 88 200 0 27 Sep 2018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 552 370 0 18 May 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning Yaroslav Ganin Tejas D. Kulkarni Igor Babuschkin A. Eslami Oriol Vinyals GAN 84 230 0 03 Apr 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 102 510 0 26 Jan 2018
Are we done with object recognition? The iCub robot's perspective Giulia Pasquale C. Ciliberto Francesca Odone Lorenzo Rosasco Lorenzo Natale 94 42 0 28 Sep 2017
Learning Inference Models for Computer Vision Varun Jampani BDL 45 1 0 31 Aug 2017
Probably approximate Bayesian computation: nonasymptotic convergence of ABC under misspecification James Ridgway 66 8 0 19 Jul 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art J. Janai Fatma Guney Aseem Behl Andreas Geiger 160 799 0 18 Apr 2017
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars Chenfanfu Jiang Siyuan Qi Yixin Zhu Siyuan Huang Jenny Lin L. Yu Demetri Terzopoulos Song-Chun Zhu 3DV 124 82 0 01 Apr 2017
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning T. Le A. G. Baydin R. Zinkov Frank Wood SyDa OOD 160 89 0 02 Mar 2017
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 219 143 0 31 Oct 2016
Unsupervised Learning of 3D Structure from Images Danilo Jimenez Rezende S. M. Ali Eslami S. Mohamed Peter W. Battaglia Max Jaderberg N. Heess 3DV SSL DRL 92 396 0 03 Jul 2016
Swift: Compiled Inference for Probabilistic Programming Languages Yi Wu Lei Li Stuart J. Russell Rastislav Bodík 96 29 0 30 Jun 2016
Hierarchical Question-Image Co-Attention for Visual Question Answering Marco F. Cusumano-Towner Jianwei Yang Vikash K. Mansinghka Devi Parikh 34 1,614 0 31 May 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis Adrien Gaidon Qiao Wang Yohann Cabon E. Vig 95 1,076 0 20 May 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models S. M. Ali Eslami N. Heess T. Weber Yuval Tassa David Szepesvari Koray Kavukcuoglu Geoffrey E. Hinton 3DV BDL OCL 146 552 0 28 Mar 2016
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding Yinda Zhang Mingru Bai Pushmeet Kohli Shahram Izadi Jianxiong Xiao 3DPC 103 77 0 16 Mar 2016
Disentangled Representations in Neural Models William F. Whitney OOD OCL DRL 135 18 0 07 Feb 2016
Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014) Yura N. Perov BDL 20 0 0 26 Jan 2016
Linear Models of Computation and Program Learning M. Bukatin S. Matthews 17 8 0 15 Dec 2015
Model Validation for Vision Systems via Graphics Simulation V. S. Veeravasarapu R. Hota Constantin Rothkopf Visvanathan Ramesh 55 14 0 04 Dec 2015
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data Vikash K. Mansinghka Patrick Shafto Eric Jonas Cap Petschulat Max Gasner J. Tenenbaum 44 40 0 03 Dec 2015
Simulations for Validation of Vision Systems V. S. Veeravasarapu R. Hota Constantin Rothkopf Visvanathan Ramesh 61 22 0 03 Dec 2015
The Wreath Process: A totally generative model of geometric shape based on nested symmetries Diana Borsa T. Graepel Andrew D. Gordon 42 2 0 09 Jun 2015