Justin Johnson

109 papers A* 37A 2Journal 61Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation. CoRR Alan Baade, Eric Ryan Chan, Kyle Sargent, Changan Chen, Justin Johnson, Ehsan Adeli, Li Fei-Fei
2025	J	`jnl`	Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization. CoRR Kyle Sargent, Kyle Hsu, Justin Johnson, Li Fei-Fei, Jiajun Wu
2025	A*	`conf`	From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs. ICML Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Ada Martin, Vincent-Pierre Berges, Paul McVay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax
2025	J	`jnl`	LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding. CoRR Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Sriram Yenamandra, Ada Martin, Vincent-Pierre Berges, Paul McVay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax
2025	—	`conf`	Lightplane: Highly-Scalable Components for Neural 3D Fields. 3DV Ang Cao, Justin Johnson, Andrea Vedaldi, David Novotný
2025	A*	`conf`	Probing Visual Language Priors in VLMs. ICML Tiange Luo, Ang Cao, Gunhee Lee, Justin Johnson, Honglak Lee
2025	J	`jnl`	Probing Visual Language Priors in VLMs. CoRR Tiange Luo, Ang Cao, Gunhee Lee, Justin Johnson, Honglak Lee
2025	J	`jnl`	Towards Minimal Fine-Tuning of VLMs. CoRR Tiange Luo, Lajanugen Logeswaran, Jaekyeom Kim, Justin Johnson, Honglak Lee
2025	J	`jnl`	Visual Test-time Scaling for GUI Agent Grounding. CoRR Tiange Luo, Lajanugen Logeswaran, Justin Johnson, Honglak Lee
2024	—	`conf`	Benchmarking Object Detectors with COCO: A New Path Forward. ECCV (44) Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai
2024	J	`jnl`	Benchmarking Object Detectors with COCO: A New Path Forward. CoRR Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai
2024	A*	`conf`	FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation. CVPR Chris Rockwell, Nilesh Kulkarni, Linyi Jin, Jeong Joon Park, Justin Johnson, David F. Fouhey
2024	J	`jnl`	FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation. CoRR Chris Rockwell, Nilesh Kulkarni, Linyi Jin, Jeong Joon Park, Justin Johnson, David F. Fouhey
2024	J	`jnl`	Lightplane: Highly-Scalable Components for Neural 3D Fields. CoRR Ang Cao, Justin Johnson, Andrea Vedaldi, David Novotný
2024	A*	`conf`	NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CVPR Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas
2024	A*	`conf`	PointInfinity: Resolution-Invariant Point Diffusion Models. CVPR Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
2024	J	`jnl`	PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
2024	A*	`conf`	Probing the 3D Awareness of Visual Foundation Models. CVPR Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani
2024	J	`jnl`	Probing the 3D Awareness of Visual Foundation Models. CoRR Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani
2024	—	`conf`	View Selection for 3D Captioning via Diffusion Ranking. ECCV (31) Tiange Luo, Justin Johnson, Honglak Lee
2024	J	`jnl`	View Selection for 3D Captioning via Diffusion Ranking. CoRR Tiange Luo, Justin Johnson, Honglak Lee
2023	A*	`conf`	HexPlane: A Fast Representation for Dynamic Scenes. CVPR Ang Cao, Justin Johnson
2023	J	`jnl`	HexPlane: A Fast Representation for Dynamic Scenes. CoRR Ang Cao, Justin Johnson
2023	J	`jnl`	Hyperbolic Image-Text Representations. CoRR Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Ramakrishna Vedantam
2023	A*	`conf`	Hyperbolic Image-text Representations. ICML Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam
2023	A*	`conf`	Learning Visual Representations via Language-Guided Sampling. CVPR Mohamed El Banani, Karan Desai, Justin Johnson
2023	J	`jnl`	Learning Visual Representations via Language-Guided Sampling. CoRR Mohamed El Banani, Karan Desai, Justin Johnson
2023	A*	`conf`	Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data. CVPR Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey
2023	J	`jnl`	Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data. CoRR Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey
2023	A*	`conf`	Multiview Compressive Coding for 3D Reconstruction. CVPR Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
2023	J	`jnl`	Multiview Compressive Coding for 3D Reconstruction. CoRR Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
2023	J	`jnl`	NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CoRR Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas
2023	J	`jnl`	Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. Trans. Mach. Learn. Res. Tiange Luo, Honglak Lee, Justin Johnson
2023	A*	`conf`	Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CVPR Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari
2023	A*	`conf`	RGB No More: Minimally-Decoded JPEG Vision Transformers. CVPR Jeongsoo Park, Justin Johnson
2023	A*	`conf`	Scalable 3D Captioning with Pretrained Models. NeurIPS Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson
2023	J	`jnl`	Scalable 3D Captioning with Pretrained Models. CoRR Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson
2023	A	`conf`	Self-supervised Correspondence Estimation via Multiview Registration. WACV Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham
2023	A*	`conf`	Text-To-4D Dynamic Scene Generation. ICML Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
2023	J	`jnl`	Text-To-4D Dynamic Scene Generation. CoRR Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
2023	A*	`conf`	Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. ICCV Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner
2023	J	`jnl`	Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. CoRR Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner
2022	—	`conf`	Directed Ray Distance Functions for 3D Scene Reconstruction. ECCV (2) Nilesh Kulkarni, Justin Johnson, David F. Fouhey
2022	A*	`conf`	FWD: Real-time Novel View Synthesis with Forward Warping and Depth. CVPR Ang Cao, Chris Rockwell, Justin Johnson
2022	J	`jnl`	FWD: Real-time Novel View Synthesis with Forward Warping and Depth. CoRR Ang Cao, Chris Rockwell, Justin Johnson
2022	A*	`conf`	Learning 3D Object Shape and Layout without 3D Supervision. CVPR Georgia Gkioxari, Nikhila Ravi, Justin Johnson
2022	J	`jnl`	Learning 3D Object Shape and Layout without 3D Supervision. CoRR Georgia Gkioxari, Nikhila Ravi, Justin Johnson
2022	J	`jnl`	Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. CoRR Tiange Luo, Honglak Lee, Justin Johnson
2022	J	`jnl`	Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CoRR Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari
2022	J	`jnl`	RGB no more: Minimally-decoded JPEG Vision Transformers. CoRR Jeongsoo Park, Justin Johnson
2022	A	`conf`	Scaling up Instance Segmentation using Approximately Localized Phrases. BMVC Karan Desai, Ishan Misra, Justin Johnson, Laurens van der Maaten
2022	J	`jnl`	Self-Supervised Correspondence Estimation via Multiview Registration. CoRR Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham
2022	A*	`conf`	StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CVPR Lukas Höllein, Justin Johnson, Matthias Nießner
2022	—	`conf`	The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. 3DV Chris Rockwell, Justin Johnson, David F. Fouhey
2022	J	`jnl`	The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. CoRR Chris Rockwell, Justin Johnson, David F. Fouhey
2021	A*	`conf`	Bootstrap Your Own Correspondences. ICCV Mohamed El Banani, Justin Johnson
2021	J	`jnl`	Bootstrap Your Own Correspondences. CoRR Mohamed El Banani, Justin Johnson
2021	A*	`conf`	CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. CVPR Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
2021	J	`jnl`	Inverting and Understanding Object Detectors. CoRR Ang Cao, Justin Johnson
2021	A*	`conf`	PixelSynth: Generating a 3D-Consistent Experience from a Single Image. ICCV Chris Rockwell, David F. Fouhey, Justin Johnson
2021	J	`jnl`	PixelSynth: Generating a 3D-Consistent Experience from a Single Image. CoRR Chris Rockwell, David F. Fouhey, Justin Johnson
2021	J	`jnl`	Recognizing Scenes from Novel Viewpoints. CoRR Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari
2021	—	`conf`	RedCaps: Web-curated image-text data created by the people, for the people. NeurIPS Datasets and Benchmarks Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson
2021	J	`jnl`	RedCaps: web-curated image-text data created by the people, for the people. CoRR Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson
2021	J	`jnl`	Rethinking "Batch" in BatchNorm. CoRR Yuxin Wu, Justin Johnson
2021	J	`jnl`	StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CoRR Lukas Höllein, Justin Johnson, Matthias Nießner
2021	A*	`conf`	UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. CVPR Mohamed El Banani, Luya Gao, Justin Johnson
2021	J	`jnl`	UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. CoRR Mohamed El Banani, Luya Gao, Justin Johnson
2021	A*	`conf`	VirTex: Learning Visual Representations From Textual Annotations. CVPR Karan Desai, Justin Johnson
2021	J	`jnl`	What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction. CoRR Nilesh Kulkarni, Justin Johnson, David F. Fouhey
2020	J	`jnl`	Accelerating 3D Deep Learning with PyTorch3D. CoRR Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari
2020	J	`jnl`	CASTing Your Model: Learning to Localize Improves Self-Supervised Representations. CoRR Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
2020	A*	`conf`	SynSin: End-to-End View Synthesis From a Single Image. CVPR Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson
2020	J	`jnl`	Temporal Reasoning via Audio Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. Haytham M. Fayek, Justin Johnson
2020	J	`jnl`	VirTex: Learning Visual Representations from Textual Annotations. CoRR Karan Desai, Justin Johnson
2019	A*	`conf`	Mesh R-CNN. ICCV Georgia Gkioxari, Justin Johnson, Jitendra Malik
2019	J	`jnl`	Mesh R-CNN. CoRR Georgia Gkioxari, Jitendra Malik, Justin Johnson
2019	A*	`conf`	On Network Design Spaces for Visual Recognition. ICCV Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
2019	J	`jnl`	On Network Design Spaces for Visual Recognition. CoRR Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
2019	A*	`conf`	PHYRE: A New Benchmark for Physical Reasoning. NeurIPS Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick
2019	J	`jnl`	PHYRE: A New Benchmark for Physical Reasoning. CoRR Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick
2019	J	`jnl`	SynSin: End-to-end View Synthesis from a Single Image. CoRR Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson
2019	J	`jnl`	Temporal Reasoning via Audio Question Answering. CoRR Haytham M. Fayek, Justin Johnson
2018	—	`—`	Compositional visual intelligence. Justin Johnson
2018	J	`jnl`	DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. CoRR Joseph Suarez, Justin Johnson, Li Fei-Fei
2018	—	`conf`	HiDDeN: Hiding Data With Deep Networks. ECCV (15) Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei
2018	J	`jnl`	HiDDeN: Hiding Data With Deep Networks. CoRR Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei
2018	A*	`conf`	Image Generation From Scene Graphs. CVPR Justin Johnson, Agrim Gupta, Li Fei-Fei
2018	J	`jnl`	Image Generation from Scene Graphs. CoRR Justin Johnson, Agrim Gupta, Li Fei-Fei
2018	A*	`conf`	Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. CVPR Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi
2018	J	`jnl`	Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. CoRR Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi
2017	A*	`conf`	A Hierarchical Approach for Generating Descriptive Image Paragraphs. CVPR Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
2017	A*	`conf`	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CVPR Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2017	A*	`conf`	Characterizing and Improving Stability in Neural Style Transfer. ICCV Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei
2017	J	`jnl`	Characterizing and Improving Stability in Neural Style Transfer. CoRR Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei
2017	A*	`conf`	Inferring and Executing Programs for Visual Reasoning. ICCV Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2017	J	`jnl`	Inferring and Executing Programs for Visual Reasoning. CoRR Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2017	J	`jnl`	Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. Int. J. Comput. Vis. 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
2016	J	`jnl`	A Hierarchical Approach for Generating Descriptive Image Paragraphs. CoRR Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
2016	J	`jnl`	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CoRR Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2016	A*	`conf`	DenseCap: Fully Convolutional Localization Networks for Dense Captioning. CVPR Justin Johnson, Andrej Karpathy, Li Fei-Fei
2016	—	`conf`	Perceptual Losses for Real-Time Style Transfer and Super-Resolution. ECCV (2) Justin Johnson, Alexandre Alahi, Li Fei-Fei
2016	J	`jnl`	Perceptual Losses for Real-Time Style Transfer and Super-Resolution. CoRR Justin Johnson, Alexandre Alahi, Li Fei-Fei
2016	J	`jnl`	Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. CoRR 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
2015	J	`jnl`	DenseCap: Fully Convolutional Localization Networks for Dense Captioning. CoRR Justin Johnson, Andrej Karpathy, Li Fei-Fei
2015	A*	`conf`	Image retrieval using scene graphs. CVPR Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei
2015	A*	`conf`	Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. ICCV Justin Johnson, Lamberto Ballan, Li Fei-Fei
2015	J	`jnl`	Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. CoRR Justin Johnson, Lamberto Ballan, Li Fei-Fei
2015	J	`jnl`	Visualizing and Understanding Recurrent Networks. CoRR Andrej Karpathy, Justin Johnson, Li Fei-Fei