Justin Johnson

According to our database, Justin Johnson authored at least 52 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Benchmarking Object Detectors with COCO: A New Path Forward.

Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai

CoRR, 2024

FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation.

Chris Rockwell, Nilesh Kulkarni, Linyi Jin, Jeong Joon Park, Justin Johnson, David F. Fouhey

CoRR, 2024

2023

Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program.

Tiange Luo, Honglak Lee, Justin Johnson

Trans. Mach. Learn. Res., 2023

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis.

Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas

CoRR, 2023

Self-supervised Correspondence Estimation via Multiview Registration.

Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Scalable 3D Captioning with Pretrained Models.

Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Text-To-4D Dynamic Scene Generation.

Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman

Proceedings of the International Conference on Machine Learning, 2023

Hyperbolic Image-text Representations.

Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam

Proceedings of the International Conference on Machine Learning, 2023

Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models.

Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multiview Compressive Coding for 3D Reconstruction.

Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RGB No More: Minimally-Decoded JPEG Vision Transformers.

Jeongsoo Park, Justin Johnson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data.

Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HexPlane: A Fast Representation for Dynamic Scenes.

Ang Cao, Justin Johnson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild.

Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Visual Representations via Language-Guided Sampling.

Mohamed El Banani, Karan Desai, Justin Johnson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Directed Ray Distance Functions for 3D Scene Reconstruction.

Nilesh Kulkarni, Justin Johnson, David F. Fouhey

Proceedings of the Computer Vision - ECCV 2022, 2022

StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions.

Lukas Höllein, Justin Johnson, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning 3D Object Shape and Layout without 3D Supervision.

Georgia Gkioxari, Nikhila Ravi, Justin Johnson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FWD: Real-time Novel View Synthesis with Forward Warping and Depth.

Ang Cao, Chris Rockwell, Justin Johnson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scaling up Instance Segmentation using Approximately Localized Phrases.

Karan Desai, Ishan Misra, Justin Johnson, Laurens van der Maaten

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs.

Chris Rockwell, Justin Johnson, David F. Fouhey

Proceedings of the International Conference on 3D Vision, 2022

2021

What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction.

Nilesh Kulkarni, Justin Johnson, David F. Fouhey

CoRR, 2021

Recognizing Scenes from Novel Viewpoints.

Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari

CoRR, 2021

Inverting and Understanding Object Detectors.

Ang Cao, Justin Johnson

CoRR, 2021

Rethinking "Batch" in BatchNorm.

Yuxin Wu, Justin Johnson

CoRR, 2021

RedCaps: Web-curated image-text data created by the people, for the people.

Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

PixelSynth: Generating a 3D-Consistent Experience from a Single Image.

Chris Rockwell, David F. Fouhey, Justin Johnson

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Bootstrap Your Own Correspondences.

Mohamed El Banani, Justin Johnson

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CASTing Your Model: Learning To Localize Improves Self-Supervised Representations.

Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

VirTex: Learning Visual Representations From Textual Annotations.

Karan Desai, Justin Johnson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering.

Mohamed El Banani, Luya Gao, Justin Johnson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Temporal Reasoning via Audio Question Answering.

Haytham M. Fayek, Justin Johnson

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Accelerating 3D Deep Learning with PyTorch3D.

Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari

CoRR, 2020

SynSin: End-to-End View Synthesis From a Single Image.

Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

PHYRE: A New Benchmark for Physical Reasoning.

Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Network Design Spaces for Visual Recognition.

Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Mesh R-CNN.

Georgia Gkioxari, Justin Johnson, Jitendra Malik

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Compositional visual intelligence.

Justin Johnson

PhD thesis, 2018

DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer.

Joseph Suarez, Justin Johnson, Li Fei-Fei

CoRR, 2018

HiDDeN: Hiding Data With Deep Networks.

Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2018, 2018

Image Generation From Scene Graphs.

Justin Johnson, Agrim Gupta, Li Fei-Fei

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks.

Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations.

Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

Int. J. Comput. Vis., 2017

Inferring and Executing Programs for Visual Reasoning.

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick

Proceedings of the IEEE International Conference on Computer Vision, 2017

Characterizing and Improving Stability in Neural Style Transfer.

Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2017

A Hierarchical Approach for Generating Descriptive Image Paragraphs.

Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Perceptual Losses for Real-Time Style Transfer and Super-Resolution.

Justin Johnson, Alexandre Alahi, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

DenseCap: Fully Convolutional Localization Networks for Dense Captioning.

Justin Johnson, Andrej Karpathy, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Visualizing and Understanding Recurrent Networks.

Andrej Karpathy, Justin Johnson, Li Fei-Fei

CoRR, 2015

Love Thy Neighbors: Image Annotation by Exploiting Image Metadata.

Justin Johnson, Lamberto Ballan, Li Fei-Fei

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Image retrieval using scene graphs.

Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015