Image retrieval using scene graphs. - Justin Johnson 001; Ranjay Krishna; Michael Stark 003; Li-Jia Li 001; David A. Shamma; Michael S. Bernstein; Li Fei-Fei 001 (CVPR, 2015)

Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. - Justin Johnson 001; Lamberto Ballan; Li Fei-Fei 001 (ICCV, 2015)

Visualizing and Understanding Recurrent Networks. - Andrej Karpathy; Justin Johnson 001; Li Fei-Fei 001 (CoRR, 2015)

DenseCap: Fully Convolutional Localization Networks for Dense Captioning. - Justin Johnson 001; Andrej Karpathy; Li Fei-Fei 001 (CVPR, 2016)

Perceptual Losses for Real-Time Style Transfer and Super-Resolution. - Justin Johnson 001; Alexandre Alahi; Li Fei-Fei 001 (ECCV (2), 2016)

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Li Fei-Fei 001; C. Lawrence Zitnick; Ross B. Girshick (CVPR, 2017)

A Hierarchical Approach for Generating Descriptive Image Paragraphs. - Jonathan Krause; Justin Johnson 001; Ranjay Krishna; Li Fei-Fei 001 (CVPR, 2017)

Characterizing and Improving Stability in Neural Style Transfer. - Agrim Gupta; Justin Johnson 001; Alexandre Alahi; Li Fei-Fei 001 (ICCV, 2017)

Inferring and Executing Programs for Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Judy Hoffman; Li Fei-Fei 001; C. Lawrence Zitnick; Ross B. Girshick (ICCV, 2017)

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. - Ranjay Krishna; Yuke Zhu; Oliver Groth; Justin Johnson 001; Kenji Hata; Joshua Kravitz; Stephanie Chen; Yannis Kalantidis; Li-Jia Li 001; David A. Shamma; Michael S. Bernstein; Li Fei-Fei 001 (Int. J. Comput. Vis., 2017)

Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. - Agrim Gupta; Justin Johnson 001; Li Fei-Fei 001; Silvio Savarese; Alexandre Alahi (CVPR, 2018)

Image Generation From Scene Graphs. - Justin Johnson 001; Agrim Gupta; Li Fei-Fei 001 (CVPR, 2018)

HiDDeN: Hiding Data With Deep Networks. - Jiren Zhu; Russell Kaplan; Justin Johnson 001; Li Fei-Fei 001 (ECCV (15), 2018)

DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. - Joseph Suarez; Justin Johnson 001; Li Fei-Fei 001 (CoRR, 2018)

Compositional visual intelligence. - Justin Johnson 001 (2018)

Mesh R-CNN. - Georgia Gkioxari; Justin Johnson 001; Jitendra Malik (ICCV, 2019)

On Network Design Spaces for Visual Recognition. - Ilija Radosavovic; Justin Johnson 001; Saining Xie; Wan-Yen Lo; Piotr Dollár (ICCV, 2019)

PHYRE: A New Benchmark for Physical Reasoning. - Anton Bakhtin; Laurens van der Maaten; Justin Johnson 001; Laura Gustafson; Ross B. Girshick (NeurIPS, 2019)

SynSin: End-to-End View Synthesis From a Single Image. - Olivia Wiles; Georgia Gkioxari; Richard Szeliski; Justin Johnson 001 (CVPR, 2020)

Accelerating 3D Deep Learning with PyTorch3D. - Nikhila Ravi; Jeremy Reizenstein; David Novotný; Taylor Gordon; Wan-Yen Lo; Justin Johnson 001; Georgia Gkioxari (CoRR, 2020)

Temporal Reasoning via Audio Question Answering. - Haytham M. Fayek; Justin Johnson 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. - Mohamed El Banani; Luya Gao; Justin Johnson 001 (CVPR, 2021)

VirTex: Learning Visual Representations From Textual Annotations. - Karan Desai; Justin Johnson 001 (CVPR, 2021)

CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. - Ramprasaath R. Selvaraju; Karan Desai; Justin Johnson 001; Nikhil Naik (CVPR, 2021)

Bootstrap Your Own Correspondences. - Mohamed El Banani; Justin Johnson 001 (ICCV, 2021)

PixelSynth: Generating a 3D-Consistent Experience from a Single Image. - Chris Rockwell 001; David F. Fouhey; Justin Johnson 001 (ICCV, 2021)

RedCaps: Web-curated image-text data created by the people, for the people. - Karan Desai; Gaurav Kaul; Zubin Aysola; Justin Johnson 001 (NeurIPS Datasets and Benchmarks, 2021)

Rethinking "Batch" in BatchNorm. - Yuxin Wu; Justin Johnson 001 (CoRR, 2021)

Inverting and Understanding Object Detectors. - Ang Cao; Justin Johnson 001 (CoRR, 2021)

Recognizing Scenes from Novel Viewpoints. - Shengyi Qian 001; Alexander Kirillov; Nikhila Ravi; Devendra Singh Chaplot; Justin Johnson 001; David F. Fouhey; Georgia Gkioxari (CoRR, 2021)

What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction. - Nilesh Kulkarni; Justin Johnson 001; David F. Fouhey (CoRR, 2021)

The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. - Chris Rockwell 001; Justin Johnson 001; David F. Fouhey (3DV, 2022)

Scaling up Instance Segmentation using Approximately Localized Phrases. - Karan Desai; Ishan Misra; Justin Johnson 001; Laurens van der Maaten (BMVC, 2022)

FWD: Real-time Novel View Synthesis with Forward Warping and Depth. - Ang Cao; Chris Rockwell 001; Justin Johnson 001 (CVPR, 2022)

Learning 3D Object Shape and Layout without 3D Supervision. - Georgia Gkioxari; Nikhila Ravi; Justin Johnson 001 (CVPR, 2022)

StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. - Lukas Höllein; Justin Johnson 001; Matthias Nießner (CVPR, 2022)

Directed Ray Distance Functions for 3D Scene Reconstruction. - Nilesh Kulkarni; Justin Johnson 001; David F. Fouhey (ECCV (2), 2022)

RGB no more: Minimally-decoded JPEG Vision Transformers. - Jeongsoo Park; Justin Johnson 001 (CoRR, 2022)

Learning Visual Representations via Language-Guided Sampling. - Mohamed El Banani; Karan Desai; Justin Johnson 001 (CVPR, 2023)

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. - Garrick Brazil; Abhinav Kumar 004; Julian Straub; Nikhila Ravi; Justin Johnson 001; Georgia Gkioxari (CVPR, 2023)

HexPlane: A Fast Representation for Dynamic Scenes. - Ang Cao; Justin Johnson 001 (CVPR, 2023)

Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data. - Nilesh Kulkarni; Linyi Jin; Justin Johnson 001; David F. Fouhey (CVPR, 2023)

RGB No More: Minimally-Decoded JPEG Vision Transformers. - Jeongsoo Park 007; Justin Johnson 001 (CVPR, 2023)

Multiview Compressive Coding for 3D Reconstruction. - Chao-Yuan Wu; Justin Johnson 001; Jitendra Malik; Christoph Feichtenhofer; Georgia Gkioxari (CVPR, 2023)

Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. - Lukas Höllein; Ang Cao; Andrew Owens; Justin Johnson 001; Matthias Nießner (ICCV, 2023)

Hyperbolic Image-text Representations. - Karan Desai; Maximilian Nickel; Tanmay Rajpurohit; Justin Johnson 001; Shanmukha Ramakrishna Vedantam (ICML, 2023)

Text-To-4D Dynamic Scene Generation. - Uriel Singer; Shelly Sheynin; Adam Polyak; Oron Ashual; Iurii Makarov; Filippos Kokkinos; Naman Goyal 001; Andrea Vedaldi; Devi Parikh; Justin Johnson 001; Yaniv Taigman (ICML, 2023)

Scalable 3D Captioning with Pretrained Models. - Tiange Luo; Chris Rockwell 001; Honglak Lee; Justin Johnson 001 (NeurIPS, 2023)

Self-supervised Correspondence Estimation via Multiview Registration. - Mohamed El Banani; Ignacio Rocco; David Novotný; Andrea Vedaldi; Natalia Neverova; Justin Johnson 001; Benjamin Graham (WACV, 2023)

Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. - Tiange Luo; Honglak Lee; Justin Johnson 001 (Trans. Mach. Learn. Res., 2023)

PointInfinity: Resolution-Invariant Point Diffusion Models. - Zixuan Huang 001; Justin Johnson 001; Shoubhik Debnath; James M. Rehg; Chao-Yuan Wu (CVPR, 2024)

FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation. - Chris Rockwell 001; Nilesh Kulkarni; Linyi Jin; Jeong Joon Park; Justin Johnson 001; David F. Fouhey (CVPR, 2024)

Probing the 3D Awareness of Visual Foundation Models. - Mohamed El Banani; Amit Raj; Kevis-Kokitsi Maninis; Abhishek Kar; Yuanzhen Li; Michael Rubinstein; Deqing Sun; Leonidas J. Guibas; Justin Johnson 001; Varun Jampani (CVPR, 2024)

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. - Nilesh Kulkarni; Davis Rempe; Kyle Genova; Abhijit Kundu; Justin Johnson 001; David Fouhey; Leonidas J. Guibas (CVPR, 2024)

View Selection for 3D Captioning via Diffusion Ranking. - Tiange Luo; Justin Johnson 001; Honglak Lee (ECCV (31), 2024)

Benchmarking Object Detectors with COCO: A New Path Forward. - Shweta Singh 002; Aayan Yadav; Jitesh Jain; Humphrey Shi; Justin Johnson 001; Karan Desai (ECCV (44), 2024)

Lightplane: Highly-Scalable Components for Neural 3D Fields. - Ang Cao; Justin Johnson 001; Andrea Vedaldi; David Novotný (3DV, 2025)

Probing Visual Language Priors in VLMs. - Tiange Luo; Ang Cao; Gunhee Lee; Justin Johnson 001; Honglak Lee (CoRR, 2025)

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. - Justin Johnson 001; Bharath Hariharan; Laurens van der Maaten; Fei-Fei Li 001; C. Lawrence Zitnick; Ross B. Girshick (Zenodo, 2025)

LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding. - 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; et al. (CoRR, 2025)

Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization. - Kyle Sargent; Kyle Hsu; Justin Johnson 001; Li Fei-Fei 001; Jiajun Wu 001 (CoRR, 2025)

Visual Test-time Scaling for GUI Agent Grounding. - Tiange Luo; Lajanugen Logeswaran; Justin Johnson 001; Honglak Lee (CoRR, 2025)