Fleet, David J.

Performance of optical flow techniques

Barron, J. L., Fleet, D. J., & Beauchemin, S. S. (1994) · International Journal of Computer Vision

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 4,305

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E., Ghasemipour, S. K. S., Ayan, B. K., Mahdavi, S. S., Lopes, R. G., et al. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 2,528

Image Super-Resolution Via Iterative Refinement

Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D. J., & Norouzi, M. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image Processing TechniquesGenerative Adversarial Networks and Image Synthesis

Cited by 1,829

Image Super-Resolution via Iterative Refinement

Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D. J., & Norouzi, M. (2021) · arXiv

Advanced Image Processing TechniquesGenerative Adversarial Networks and Image Synthesis

Cited by 1,829

Palette: Image-to-Image Diffusion Models

Saharia, C., Chan, W., Chang, H., Lee, C., Ho, J., Salimans, T., Fleet, D., & Norouzi, M. (2022) · Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods

Cited by 1,717

Computation of component image velocity from local phase information

Fleet, D. J., & Jepson, A. D. (1990) · International Journal of Computer Vision

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 1,085

Photorealistic Text-To-Image Diffusion Models with Deep Language Understanding

Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E., Ghasemipour, K., Lopes, R. G., Ayan, B. K., Salimans, T., et al. (2022) · Advances in Neural Information Processing Systems 35

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 559

Cascaded Diffusion Models for High Fidelity Image Generation

Ho, J., Saharia, C., Chan, W., Fleet, D. J., Norouzi, M., & Salimans, T. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 514

Towards Generalist Biomedical AI

Tu, T., Azizi, S., Driess, D., Schaekermann, M., Amin, M., Chang, P.-C., Carroll, A., Lau, C., Tanno, R., Ktena, I., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 483

Towards Generalist Biomedical AI

Tu, T., Azizi, S., Driess, D., Schaekermann, M., Amin, M., Chang, P.-C., Carroll, A., Lau, C., Tanno, R., Ktena, I., et al. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 483

Imagen Video: High Definition Video Generation with Diffusion Models

Ho, J., Chan, W., Saharia, C., Whang, J., Gao, R., Gritsenko, A., Kingma, D. P., Poole, B., Norouzi, M., Fleet, D. J., et al. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 399

Video Diffusion Models

Ho, J., Salimans, T., Gritsenko, A., Chan, W., Norouzi, M., & Fleet, D. J. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 301

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Azizi, S., Culp, L., Freyberg, J., Mustafa, B., Baur, S., Kornblith, S., Chen, T., Tomasev, N., Mitrović, J., Strachan, P., et al. (2023) · Nature Biomedical Engineering

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 250

Synthetic Data from Diffusion Models Improves ImageNet Classification

Azizi, S., Kornblith, S., Saharia, C., Norouzi, M., & Fleet, D. J. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 184

Optimizing walking controllers

Wang, J. M., Fleet, D. J., & Hertzmann, A. (2009) · ACM Transactions on Graphics

Human Motion and AnimationRobotic Locomotion and Control

Cited by 181

Topologically-constrained latent variable models

Urtasun, R., Fleet, D. J., Geiger, A., Popović, J., Darrell, T. J., & Lawrence, N. D. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08

Gaussian Processes and Bayesian InferenceHuman Motion and Animation

Cited by 125

Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Cao, Y., & Fleet, D. J. (2014) · arXiv

Gaussian Processes and Bayesian InferenceTarget Tracking and Data Fusion in Sensor Networks

Cited by 116

Optimizing walking controllers for uncertain inputs and environments

Wang, J. M., Fleet, D. J., & Hertzmann, A. (2010) · ACM Transactions on Graphics

Human Motion and AnimationRobotic Locomotion and Control

Cited by 113

MedGemma Technical Report

Sellergren, A., Kazemzadeh, S., Jaroensri, T., Kiraly, A., Traverse, M., Kohlberger, T., Xu, S., Jamil, F., Hughes, C., Lau, C., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 49

Advancing Multimodal Medical Capabilities of Gemini

Yang, L., Xu, S., Sellergren, A., Kohlberger, T., Zhou, Y., Ktena, I., Kiraly, A., Ahmed, F., Hormozdiari, F., Jaroensri, T., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 34