Justin Johnson

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 87

Top Topics

Motion Synthesis

Visual Representations

Top Venues

Publications

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 (2023)
Ang Cao, Justin Johnson
HexPlane: A Fast Representation for Dynamic Scenes. CoRR (2023)
Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson
Scalable 3D Captioning with Pretrained Models. NeurIPS (2023)
Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson
Scalable 3D Captioning with Pretrained Models. CoRR (2023)
Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey
Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data. CVPR (2023)
Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. CoRR (2023)
Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
Multiview Compressive Coding for 3D Reconstruction. CoRR (2023)
Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
Multiview Compressive Coding for 3D Reconstruction. CVPR (2023)
Ang Cao, Justin Johnson
HexPlane: A Fast Representation for Dynamic Scenes. CVPR (2023)
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 (2023)
Mohamed El Banani, Karan Desai, Justin Johnson
Learning Visual Representations via Language-Guided Sampling. CVPR (2023)
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)
Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey
Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data. CoRR (2023)
Jeongsoo Park, Justin Johnson
RGB No More: Minimally-Decoded JPEG Vision Transformers. CVPR (2023)
Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham
Self-supervised Correspondence Estimation via Multiview Registration. WACV (2023)
Mohamed El Banani, Karan Desai, Justin Johnson
Learning Visual Representations via Language-Guided Sampling. CoRR (2023)
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)
Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Ramakrishna Vedantam
Hyperbolic Image-Text Representations. CoRR (2023)
Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam
Hyperbolic Image-text Representations. ICML (2023)
Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. ICCV (2023)
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)
Jeongsoo Park, Justin Johnson
RGB no more: Minimally-decoded JPEG Vision Transformers. CoRR (2022)
Ang Cao, Chris Rockwell, Justin Johnson
FWD: Real-time Novel View Synthesis with Forward Warping and Depth. CoRR (2022)
Chris Rockwell, Justin Johnson, David F. Fouhey
The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. CoRR (2022)
Karan Desai, Ishan Misra, Justin Johnson, Laurens van der Maaten
Scaling up Instance Segmentation using Approximately Localized Phrases. BMVC (2022)
Ang Cao, Chris Rockwell, Justin Johnson
FWD: Real-time Novel View Synthesis with Forward Warping and Depth. CVPR (2022)
Georgia Gkioxari, Nikhila Ravi, Justin Johnson
Learning 3D Object Shape and Layout without 3D Supervision. CoRR (2022)
Chris Rockwell, Justin Johnson, David F. Fouhey
The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. 3DV (2022)
Tiange Luo, Honglak Lee, Justin Johnson
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. CoRR (2022)
Georgia Gkioxari, Nikhila Ravi, Justin Johnson
Learning 3D Object Shape and Layout without 3D Supervision. CVPR (2022)
Garrick Brazil, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CoRR (2022)
Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham
Self-Supervised Correspondence Estimation via Multiview Registration. CoRR (2022)
Nilesh Kulkarni, Justin Johnson, David F. Fouhey
Directed Ray Distance Functions for 3D Scene Reconstruction. ECCV (2) (2022)
Lukas Höllein, Justin Johnson, Matthias Nießner
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CVPR (2022)
Lukas Höllein, Justin Johnson, Matthias Nießner
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CoRR (2021)
Mohamed El Banani, Luya Gao, Justin Johnson
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. CVPR (2021)
Mohamed El Banani, Justin Johnson
Bootstrap Your Own Correspondences. ICCV (2021)
Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson
RedCaps: web-curated image-text data created by the people, for the people. CoRR (2021)
Nilesh Kulkarni, Justin Johnson, David F. Fouhey
What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction. CoRR (2021)
Chris Rockwell, David F. Fouhey, Justin Johnson
PixelSynth: Generating a 3D-Consistent Experience from a Single Image. CoRR (2021)
Yuxin Wu, Justin Johnson
Rethinking "Batch" in BatchNorm. CoRR (2021)
Mohamed El Banani, Luya Gao, Justin Johnson
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. CoRR (2021)
Mohamed El Banani, Justin Johnson
Bootstrap Your Own Correspondences. CoRR (2021)
Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. CVPR (2021)
Ang Cao, Justin Johnson
Inverting and Understanding Object Detectors. CoRR (2021)
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)
Karan Desai, Justin Johnson
VirTex: Learning Visual Representations From Textual Annotations. CVPR (2021)
Chris Rockwell, David F. Fouhey, Justin Johnson
PixelSynth: Generating a 3D-Consistent Experience from a Single Image. ICCV (2021)
Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari
Recognizing Scenes from Novel Viewpoints. CoRR (2021)
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson
SynSin: End-to-End View Synthesis From a Single Image. CVPR (2020)
Haytham M. Fayek, Justin Johnson
Temporal Reasoning via Audio Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Karan Desai, Justin Johnson
VirTex: Learning Visual Representations from Textual Annotations. CoRR (2020)
Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations. CoRR (2020)
Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari
Accelerating 3D Deep Learning with PyTorch3D. CoRR (2020)
Haytham M. Fayek, Justin Johnson
Temporal Reasoning via Audio Question Answering. CoRR (2019)
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
On Network Design Spaces for Visual Recognition. CoRR (2019)
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson
SynSin: End-to-end View Synthesis from a Single Image. CoRR (2019)
Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick
PHYRE: A New Benchmark for Physical Reasoning. CoRR (2019)
Georgia Gkioxari, Jitendra Malik, Justin Johnson
Mesh R-CNN. CoRR (2019)
Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick
PHYRE: A New Benchmark for Physical Reasoning. NeurIPS (2019)
Georgia Gkioxari, Justin Johnson, Jitendra Malik
Mesh R-CNN. ICCV (2019)
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
On Network Design Spaces for Visual Recognition. ICCV (2019)
Joseph Suarez, Justin Johnson, Li Fei-Fei
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. CoRR (2018)
Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei
HiDDeN: Hiding Data With Deep Networks. CoRR (2018)
Justin Johnson, Agrim Gupta, Li Fei-Fei
Image Generation from Scene Graphs. CoRR (2018)
Justin Johnson, Agrim Gupta, Li Fei-Fei
Image Generation From Scene Graphs. CVPR (2018)
Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei
HiDDeN: Hiding Data With Deep Networks. ECCV (15) (2018)
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. CVPR (2018)
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. CoRR (2018)
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) (2017)
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 (2017)
Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei
Characterizing and Improving Stability in Neural Style Transfer. CoRR (2017)
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)
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)
Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei
Characterizing and Improving Stability in Neural Style Transfer. ICCV (2017)
Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CVPR (2017)
Justin Johnson, Alexandre Alahi, Li Fei-Fei
Perceptual Losses for Real-Time Style Transfer and Super-Resolution. ECCV (2) (2016)
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 (2016)
Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CoRR (2016)
Justin Johnson, Andrej Karpathy, Li Fei-Fei
DenseCap: Fully Convolutional Localization Networks for Dense Captioning. CVPR (2016)
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 (2016)
Justin Johnson, Alexandre Alahi, Li Fei-Fei
Perceptual Losses for Real-Time Style Transfer and Super-Resolution. CoRR (2016)
Andrej Karpathy, Justin Johnson, Li Fei-Fei
Visualizing and Understanding Recurrent Networks. CoRR (2015)
Justin Johnson, Lamberto Ballan, Li Fei-Fei
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. ICCV (2015)
Justin Johnson, Andrej Karpathy, Li Fei-Fei
DenseCap: Fully Convolutional Localization Networks for Dense Captioning. CoRR (2015)
Justin Johnson, Lamberto Ballan, Li Fei-Fei
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. CoRR (2015)
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)