Freeman, William T.

LabelMe: A Database and Web-Based Tool for Image Annotation

Russell, B. C., Torralba, A., Murphy, K. P., & Freeman, W. T. (2008) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 4,210

First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole

The Event Horizon Telescope Collaboration, Akiyama, K., Alberdi, A., Alef, W., Asada, K., Azulay, R., Baczko, A.-K., Ball, D., Baloković, M., Barrett, J., et al. (2019) · The Astrophysical Journal Letters

Astrophysical Phenomena and ObservationsPulsars and Gravitational Waves Research

Cited by 4,205

80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

Torralba, A., Fergus, R., & Freeman, W. T. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 1,921

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Wu, J., Zhang, C., Xue, T., Freeman, W. T., & Tenenbaum, J. B. (2016) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 1,393

Understanding and evaluating blind deconvolution algorithms

Levin, A., Weiss, Y., Durand, F., & Freeman, W. T. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 1,208

Separating Style and Content with Bilinear Models

Tenenbaum, J. B., & Freeman, W. T. (2000) · Neural Computation

Neural Networks and ApplicationsFace and Expression Recognition

Cited by 840

First Sagittarius A* Event Horizon Telescope Results. III. Imaging of the Galactic Center Supermassive Black Hole

Event Horizon Telescope Collaboration, Akiyama, K., Alberdi, A., Alef, W., Algaba, J. C., Anantua, R., Asada, K., Azulay, R., Bach, U., Baczko, A.-K., et al. (2022) · The Astrophysical Journal Letters

Astrophysical Phenomena and ObservationsPulsars and Gravitational Waves Research

Cited by 449

MaskGIT: Masked Generative Image Transformer

Chang, H., Zhang, H., Jiang, L., Liu, C., & Freeman, W. T. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 446

First Sagittarius A* Event Horizon Telescope Results. IV. Variability, Morphology, and Black Hole Mass

Event Horizon Telescope Collaboration, Akiyama, K., Alberdi, A., Alef, W., Algaba, J. C., Anantua, R., Asada, K., Azulay, R., Bach, U., Baczko, A.-K., et al. (2022) · The Astrophysical Journal Letters

Astrophysical Phenomena and ObservationsPulsars and Gravitational Waves Research

Cited by 369

Muse: Text-To-Image Generation via Masked Generative Transformers

Chang, H., Zhang, H., Barber, J., Maschinot, A., Lezama, J., Jiang, L., Yang, M.-H., Murphy, K., Freeman, W. T., Rubinstein, M., et al. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 157

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering

Sitzmann, V., Rezchikov, S., Freeman, W. T., Tenenbaum, J. B., & Durand, F. (2021) · arXiv

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 117

Millimeter Light Curves of Sagittarius A* Observed during the 2017 Event Horizon Telescope Campaign

Wielgus, M., Marchili, N., Martí-Vidal, I., Keating, G. K., Ramakrishnan, V., Tiede, P., Fomalont, E., Issaoun, S., Neilsen, J., Nowak, M. A., et al. (2025) · The Astrophysical Journal Letters

Astrophysical Phenomena and ObservationsPulsars and Gravitational Waves Research

Cited by 112

Polarimetric Properties of Event Horizon Telescope Targets from ALMA

Goddi, C., Martí-Vidal, I., Messias, H., Bower, G. C., Broderick, A. E., Dexter, J., Marrone, D. P., Moscibrodzka, M., Nagai, H., Algaba, J. C., et al. (2021) · The Astrophysical Journal Letters

Astrophysical Phenomena and ObservationsAstrophysics and Cosmic Phenomena

Cited by 111

Understanding Intra-Class Knowledge Inside CNN

Wei, D., Zhou, B., Torrabla, A., & Freeman, W. (2015) · arXiv

Advanced Neural Network ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 98

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models

Yin, T., Zhang, Q., Zhang, R., Freeman, W. T., Durand, F., Shechtman, E., & Huang, X. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 47

A Universal Power-law Prescription for Variability from Synthetic Images of Black Hole Accretion Flows

Georgiev, B., Pesce, D. W., Broderick, A. E., Wong, G. N., Dhruv, V., Wielgus, M., Gammie, C. F., Chan, C.-K., Chatterjee, K., Emami, R., et al. (2022) · The Astrophysical Journal Letters

Astrophysical Phenomena and ObservationsPulsars and Gravitational Waves Research

Cited by 40

Characterizing and Mitigating Intraday Variability: Reconstructing Source Structure in Accreting Black Holes with mm-VLBI

Broderick, A. E., Gold, R., Georgiev, B., Pesce, D. W., Tiede, P., Ni, C., Moriyama, K., Akiyama, K., Alberdi, A., Alef, W., et al. (2022) · The Astrophysical Journal Letters

Astrophysical Phenomena and ObservationsRadio Astronomy Observations and Technology

Cited by 38

Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes

Gothoskar, N., Ghavami, M., Li, E., Curtis, A., Noseworthy, M., Chung, K., Patton, B., Freeman, W. T., Tenenbaum, J. B., Klukas, M., et al. (2023) · arXiv

3D Shape Modeling and AnalysisRobot Manipulation and Learning

Cited by 5

Test-Time Training Done Right

Zhang, T., Bi, S., Hong, Y., Zhang, K., Luan, F., Yang, S., Sunkavalli, K., Freeman, W. T., & Tan, H. (2025) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 0