Johnson, Justin

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

Johnson, J., Alahi, A., & Fei-Fei, L. (2016) · Lecture Notes in Computer Science

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 11,283

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

Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.-J., Shamma, D. A., et al. (2017) · International Journal of Computer Vision

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 5,107

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Gupta, A., Johnson, J., Fei-Fei, L., Savarese, S., & Alahi, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Human Motion and AnimationAutonomous Vehicle Technology and Safety

Cited by 2,466

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

Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 1,781

Image retrieval using scene graphs

Johnson, J., Krishna, R., Stark, M., Li, L.-J., Shamma, D. A., Bernstein, M. S., & Fei-Fei, L. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 1,101

Visualizing and Understanding Recurrent Networks

Karpathy, A., Johnson, J., & Fei-Fei, L. (2015) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 845

Image Generation from Scene Graphs

Johnson, J., Gupta, A., & Fei-Fei, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 836

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

Höllein, L., Cao, A., Owens, A., Johnson, J., & Nießner, M. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 167

On Network Design Spaces for Visual Recognition

Radosavovic, I., Johnson, J., Xie, S., Lo, W.-Y., & Dollar, P. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 127

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

Brazil, G., Kumar, A., Straub, J., Ravi, N., Johnson, J., & Gkioxari, G. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 111

Probing the 3D Awareness of Visual Foundation Models

Banani, M. E., Raj, A., Maninis, K.-K., Kar, A., Li, Y., Rubinstein, M., Sun, D., Guibas, L., Johnson, J., & Jampani, V. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 52

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

Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2016) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 40

PHYRE: A New Benchmark for Physical Reasoning

Bakhtin, A., van der Maaten, L., Johnson, J., Gustafson, L., & Girshick, R. (2019) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 37