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ORCIDJustin Johnson 0001
Person information
- affiliation: University of Michigan, USA
- affiliation: Facebook AI Research
- affiliation: Stanford University, CA, USA
Other persons with the same name
- Justin Johnson 0002 — University of Maryland, College Park, MD, USA
- Justin Johnson 0003 — Juxtopia, LLC, Baltimore, MD, USA
- Justin Johnson 0004
![[0000-0003-0679-5660]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0679-5660")
— North Carolina State College of Design, USA
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2020 – today
- 2025
[i53]Tiange Luo, Ang Cao, Gunhee Lee, Justin Johnson, Honglak Lee:
Probing Visual Language Priors in VLMs. CoRR abs/2501.00569 (2025)- 2024
- [c44]Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas:
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CVPR 2024: 947-957 - [c43]Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CVPR 2024: 10050-10060 - [c42]Chris Rockwell, Nilesh Kulkarni, Linyi Jin, Jeong Joon Park, Justin Johnson, David F. Fouhey:
FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation. CVPR 2024: 19854-19864 - [c41]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CVPR 2024: 21795-21806 - [c40]Tiange Luo, Justin Johnson, Honglak Lee:
View Selection for 3D Captioning via Diffusion Ranking. ECCV (31) 2024: 180-197 - [c39]Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai:
Benchmarking Object Detectors with COCO: A New Path Forward. ECCV (44) 2024: 279-295 - [i52]Chris Rockwell, Nilesh Kulkarni, Linyi Jin, Jeong Joon Park, Justin Johnson, David F. Fouhey:
FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation. CoRR abs/2403.03221 (2024) - [i51]Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai:
Benchmarking Object Detectors with COCO: A New Path Forward. CoRR abs/2403.18819 (2024) - [i50]Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR abs/2404.03566 (2024) - [i49]Tiange Luo, Justin Johnson, Honglak Lee:
View Selection for 3D Captioning via Diffusion Ranking. CoRR abs/2404.07984 (2024) - [i48]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CoRR abs/2404.08636 (2024) - [i47]Ang Cao, Justin Johnson, Andrea Vedaldi, David Novotný:
Lightplane: Highly-Scalable Components for Neural 3D Fields. CoRR abs/2404.19760 (2024) - 2023
- [j3]Tiange Luo, Honglak Lee, Justin Johnson:
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. Trans. Mach. Learn. Res. 2023 (2023) - [c38]Ang Cao, Justin Johnson:
HexPlane: A Fast Representation for Dynamic Scenes. CVPR 2023: 130-141 - [c37]Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. CVPR 2023: 9065-9075 - [c36]Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari:
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CVPR 2023: 13154-13164 - [c35]Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey:
Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data. CVPR 2023: 17256-17265 - [c34]Mohamed El Banani, Karan Desai, Justin Johnson:
Learning Visual Representations via Language-Guided Sampling. CVPR 2023: 19208-19220 - [c33]Jeongsoo Park, Justin Johnson:
RGB No More: Minimally-Decoded JPEG Vision Transformers. CVPR 2023: 22334-22346 - [c32]Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner:
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. ICCV 2023: 7875-7886 - [c31]Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam:
Hyperbolic Image-text Representations. ICML 2023: 7694-7731 - [c30]Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman:
Text-To-4D Dynamic Scene Generation. ICML 2023: 31915-31929 - [c29]Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson:
Scalable 3D Captioning with Pretrained Models. NeurIPS 2023 - [c28]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-supervised Correspondence Estimation via Multiview Registration. WACV 2023: 1216-1225 - [i46]Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. CoRR abs/2301.08247 (2023) - [i45]Ang Cao, Justin Johnson:
HexPlane: A Fast Representation for Dynamic Scenes. CoRR abs/2301.09632 (2023) - [i44]Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman:
Text-To-4D Dynamic Scene Generation. CoRR abs/2301.11280 (2023) - [i43]Mohamed El Banani, Karan Desai, Justin Johnson:
Learning Visual Representations via Language-Guided Sampling. CoRR abs/2302.12248 (2023) - [i42]Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner:
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. CoRR abs/2303.11989 (2023) - [i41]Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Ramakrishna Vedantam:
Hyperbolic Image-Text Representations. CoRR abs/2304.09172 (2023) - [i40]Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson:
Scalable 3D Captioning with Pretrained Models. CoRR abs/2306.07279 (2023) - [i39]Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey:
Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data. CoRR abs/2306.08671 (2023) - [i38]Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas:
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CoRR abs/2307.07511 (2023) - 2022
- [c27]Chris Rockwell, Justin Johnson, David F. Fouhey:
The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. 3DV 2022: 1-11 - [c26]Karan Desai, Ishan Misra, Justin Johnson, Laurens van der Maaten:
Scaling up Instance Segmentation using Approximately Localized Phrases. BMVC 2022: 648 - [c25]Georgia Gkioxari, Nikhila Ravi, Justin Johnson:
Learning 3D Object Shape and Layout without 3D Supervision. CVPR 2022: 1685-1694 - [c24]Lukas Höllein, Justin Johnson, Matthias Nießner:
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CVPR 2022: 6188-6198 - [c23]Ang Cao, Chris Rockwell, Justin Johnson:
FWD: Real-time Novel View Synthesis with Forward Warping and Depth. CVPR 2022: 15692-15703 - [c22]Nilesh Kulkarni, Justin Johnson, David F. Fouhey:
Directed Ray Distance Functions for 3D Scene Reconstruction. ECCV (2) 2022: 201-219 - [i37]Georgia Gkioxari, Nikhila Ravi, Justin Johnson:
Learning 3D Object Shape and Layout without 3D Supervision. CoRR abs/2206.07028 (2022) - [i36]Ang Cao, Chris Rockwell, Justin Johnson:
FWD: Real-time Novel View Synthesis with Forward Warping and Depth. CoRR abs/2206.08355 (2022) - [i35]Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari:
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CoRR abs/2207.10660 (2022) - [i34]Chris Rockwell, Justin Johnson, David F. Fouhey:
The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. CoRR abs/2208.08988 (2022) - [i33]Jeongsoo Park, Justin Johnson:
RGB no more: Minimally-decoded JPEG Vision Transformers. CoRR abs/2211.16421 (2022) - [i32]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-Supervised Correspondence Estimation via Multiview Registration. CoRR abs/2212.03236 (2022) - [i31]Tiange Luo, Honglak Lee, Justin Johnson:
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. CoRR abs/2212.12952 (2022) - 2021
- [c21]Mohamed El Banani, Luya Gao, Justin Johnson:
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. CVPR 2021: 7129-7139 - [c20]Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik:
CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. CVPR 2021: 11058-11067 - [c19]Karan Desai, Justin Johnson:
VirTex: Learning Visual Representations From Textual Annotations. CVPR 2021: 11162-11173 - [c18]Mohamed El Banani, Justin Johnson:
Bootstrap Your Own Correspondences. ICCV 2021: 6413-6422 - [c17]Chris Rockwell, David F. Fouhey, Justin Johnson:
PixelSynth: Generating a 3D-Consistent Experience from a Single Image. ICCV 2021: 14084-14093 - [c16]Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson:
RedCaps: Web-curated image-text data created by the people, for the people. NeurIPS Datasets and Benchmarks 2021 - [i30]Mohamed El Banani, Luya Gao, Justin Johnson:
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. CoRR abs/2102.11870 (2021) - [i29]Yuxin Wu, Justin Johnson:
Rethinking "Batch" in BatchNorm. CoRR abs/2105.07576 (2021) - [i28]Mohamed El Banani, Justin Johnson:
Bootstrap Your Own Correspondences. CoRR abs/2106.00677 (2021) - [i27]Ang Cao, Justin Johnson:
Inverting and Understanding Object Detectors. CoRR abs/2106.13933 (2021) - [i26]Chris Rockwell, David F. Fouhey, Justin Johnson:
PixelSynth: Generating a 3D-Consistent Experience from a Single Image. CoRR abs/2108.05892 (2021) - [i25]Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson:
RedCaps: web-curated image-text data created by the people, for the people. CoRR abs/2111.11431 (2021) - [i24]Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari:
Recognizing Scenes from Novel Viewpoints. CoRR abs/2112.01520 (2021) - [i23]Lukas Höllein, Justin Johnson, Matthias Nießner:
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CoRR abs/2112.01530 (2021) - [i22]Nilesh Kulkarni, Justin Johnson, David F. Fouhey:
What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction. CoRR abs/2112.04481 (2021) - 2020
- [j2]Haytham M. Fayek, Justin Johnson:
Temporal Reasoning via Audio Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2283-2294 (2020) - [c15]Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson:
SynSin: End-to-End View Synthesis From a Single Image. CVPR 2020: 7465-7475 - [i21]Karan Desai, Justin Johnson:
VirTex: Learning Visual Representations from Textual Annotations. CoRR abs/2006.06666 (2020) - [i20]Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari:
Accelerating 3D Deep Learning with PyTorch3D. CoRR abs/2007.08501 (2020) - [i19]Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik:
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations. CoRR abs/2012.04630 (2020)
2010 – 2019
- 2019
- [c14]Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár:
On Network Design Spaces for Visual Recognition. ICCV 2019: 1882-1890 - [c13]Georgia Gkioxari, Justin Johnson, Jitendra Malik:
Mesh R-CNN. ICCV 2019: 9784-9794 - [c12]Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick:
PHYRE: A New Benchmark for Physical Reasoning. NeurIPS 2019: 5083-5094 - [i18]Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár:
On Network Design Spaces for Visual Recognition. CoRR abs/1905.13214 (2019) - [i17]Georgia Gkioxari, Jitendra Malik, Justin Johnson:
Mesh R-CNN. CoRR abs/1906.02739 (2019) - [i16]Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick:
PHYRE: A New Benchmark for Physical Reasoning. CoRR abs/1908.05656 (2019) - [i15]Haytham M. Fayek, Justin Johnson:
Temporal Reasoning via Audio Question Answering. CoRR abs/1911.09655 (2019) - [i14]Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson:
SynSin: End-to-end View Synthesis from a Single Image. CoRR abs/1912.08804 (2019) - 2018
- [b1]Justin Johnson:
Compositional visual intelligence. Stanford University, USA, 2018 - [c11]Justin Johnson, Agrim Gupta, Li Fei-Fei:
Image Generation From Scene Graphs. CVPR 2018: 1219-1228 - [c10]Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi:
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. CVPR 2018: 2255-2264 - [c9]Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei:
HiDDeN: Hiding Data With Deep Networks. ECCV (15) 2018: 682-697 - [i13]Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi:
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. CoRR abs/1803.10892 (2018) - [i12]Joseph Suarez, Justin Johnson, Li Fei-Fei:
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. CoRR abs/1803.11361 (2018) - [i11]Justin Johnson, Agrim Gupta, Li Fei-Fei:
Image Generation from Scene Graphs. CoRR abs/1804.01622 (2018) - [i10]Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei:
HiDDeN: Hiding Data With Deep Networks. CoRR abs/1807.09937 (2018) - 2017
- [j1]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:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. Int. J. Comput. Vis. 123(1): 32-73 (2017) - [c8]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CVPR 2017: 1988-1997 - [c7]Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei:
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CVPR 2017: 3337-3345 - [c6]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. ICCV 2017: 3008-3017 - [c5]Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei:
Characterizing and Improving Stability in Neural Style Transfer. ICCV 2017: 4087-4096 - [i9]Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei:
Characterizing and Improving Stability in Neural Style Transfer. CoRR abs/1705.02092 (2017) - [i8]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. CoRR abs/1705.03633 (2017) - 2016
- [c4]Justin Johnson, Andrej Karpathy, Li Fei-Fei:
DenseCap: Fully Convolutional Localization Networks for Dense Captioning. CVPR 2016: 4565-4574 - [c3]Justin Johnson, Alexandre Alahi, Li Fei-Fei:
Perceptual Losses for Real-Time Style Transfer and Super-Resolution. ECCV (2) 2016: 694-711 - [i7]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:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. CoRR abs/1602.07332 (2016) - [i6]Justin Johnson, Alexandre Alahi, Li Fei-Fei:
Perceptual Losses for Real-Time Style Transfer and Super-Resolution. CoRR abs/1603.08155 (2016) - [i5]Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei:
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CoRR abs/1611.06607 (2016) - [i4]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CoRR abs/1612.06890 (2016) - 2015
- [c2]Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Image retrieval using scene graphs. CVPR 2015: 3668-3678 - [c1]Justin Johnson, Lamberto Ballan, Li Fei-Fei:
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. ICCV 2015: 4624-4632 - [i3]Andrej Karpathy, Justin Johnson, Li Fei-Fei:
Visualizing and Understanding Recurrent Networks. CoRR abs/1506.02078 (2015) - [i2]Justin Johnson, Lamberto Ballan, Li Fei-Fei:
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. CoRR abs/1508.07647 (2015) - [i1]Justin Johnson, Andrej Karpathy, Li Fei-Fei:
DenseCap: Fully Convolutional Localization Networks for Dense Captioning. CoRR abs/1511.07571 (2015)
Coauthor Index
David F. Fouhey
aka: David Fouhey
aka: David Fouhey
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