PUBLICATIONS

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Google Scholar Citations

Computer vision

  • FeatUp: A Model-Agnostic Framework for Features at Any Resolution
    Stephanie Fu, Mark Hamilton, Laura Brandt, Axel Feldman, Zhoutong Zhang, William T. Freeman
    International Conference on Learning Representations (ICLR) 2024
    Paper (pdf)
  • Diffusion with forward models: Solving stochastic inverse problems without direct supervision
    Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Frédo Durand, Bill Freeman, Vincent Sitzmann
    Advances in Neural Information Processing Systems 2023
    Paper (pdf)
  • Separating the” Chirp” from the” Chat”: Self-supervised Visual Grounding of Sound and Language
    Mark Hamilton, Andrew Zisserman, John R Hershey, William T Freeman
    IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
    Paper (pdf)
  • Wonderjourney: Going from anywhere to everywhere
    Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann
    IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
    Paper (pdf)
  • StatTexNet: Evaluating the Importance of Statistical Parameters for Pyramid-Based Texture and Peripheral Vision Models
    Christian Koevesdi, Vasha DuTell, Anne Harrington, Mark Hamilton, William T Freeman, Ruth Rosenholtz
    NeuRIPS 2023 Workshop on Gaze Meets ML
    Paper (pdf)
  • Evaluating Peripheral Vision as an Input Transformation to Understand Object Detection Model Behavior
    Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T Freeman, Ruth Rosenholtz
    NeuRIPS 2023 Workshop on Gaze Meets ML
    Paper (pdf)
  • COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
    Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T Freeman, Ruth Rosenholtz
    International Conference on Learning Representations 2024
    Paper (pdf)
  • Evaluating Pyramid-Based Image Statistics Using Contrastive Learning
    Vasha DuTell, William Freeman, Ruth Rosenholtz
    Journal of Vision
  • Associating objects and their effects in video through coordination games
    Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein
    Advances in Neural Information Processing Systems 2022
    Paper (pdf)
  • Metaclue: Towards comprehensive visual metaphors research
    Arjun R Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas Guibas, William T Freeman, Yuanzhen Li, Varun Jampani
    IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
  • Can Shadows Reveal Biometric Information?
    Safa C Medin, Amir Weiss, Frédo Durand, William T Freeman, Gregory W Wornell
    Winter Conference on Applications of Computer Vision (WACV) 2023
    Paper (pdf)
  • Structure and motion from casual videos
    Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T Freeman
    European Conference on Computer Vision (ECCV) 2022
    Paper (pdf)
  • Disentangling architecture and training for optical flow
    Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David J Fleet, William T Freeman
    European Conference on Computer Vision (ECCV) 2022
    Paper (pdf)
  • Unsupervised semantic segmentation by distilling feature correspondences
    Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T Freeman
    International Conference on Learning Representations (ICLR) 2022
    Paper (pdf)
  • Maskgit: Masked generative image transformer
    Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T Freeman
    Conference on Computer Vision and Pattern Recognition (CVPR) 2022
    Paper (pdf)
  • Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
    Xiuming Zhang, Pratul P Srinivasan, Boyang Deng, Paul Debevec, William T Freeman, Jonathan T Barron
    ACM Transactions on Graphics (TOG), 2021
    Paper (pdf)
  • Light field networks: Neural scene representations with single-evaluation rendering
    Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Fredo Durand
    Advances in Neural Information Processing Systems (NeurIPS) 2021
    Paper (pdf)
  • MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval
    Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T Freeman
    NeurIPS 2020 Competition and Demonstration Track
    Paper (pdf)
  • Consistent depth of moving objects in video
    Zhoutong Zhang, Forrester Cole, Richard Tucker, William T Freeman, Tali Dekel
    ACM Transactions on Graphics (TOG), 2021
    Paper (pdf)
  • What you can learn by staring at a blank wall
    Prafull Sharma, Miika Aittala, Yoav Y Schechner, Antonio Torralba, Gregory W Wornell, William T Freeman, Frédo Durand
    International Conference on Computer Vision (ICCV) 2021
    Paper (pdf)
  • Thundr: Transformer-based 3d human reconstruction with markers
    Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T Freeman, Rahul Sukthankar, Cristian Sminchisescu
    International Conference on Computer Vision (ICCV) 2021
    Paper (pdf)
  • Lasr: Learning articulated shape reconstruction from a monocular video
    Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T Freeman, Ce Liu
    Conference on Computer Vision and Pattern Recognition (CVPR) 2021
    Paper (pdf)
  • Omnimatte: associating objects and their effects in video
    Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T Freeman, Michael Rubinstein
    Conference on Computer Vision and Pattern Recognition (CVPR) 2021
    Paper (pdf)
  • Explaining in style: Training a gan to explain a classifier in stylespace
    Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
    International Conference on Computer Vision (ICCV) 2021
    Paper (pdf)
  • Autoflow: Learning a better training set for optical flow
    Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T Freeman, Ce Liu
    Conference on Computer Vision and Pattern Recognition (CVPR) 2021
    Paper (pdf)
  • Neural Descent for Visual 3D Human Pose and Shape
    Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T Freeman, Rahul Sukthankar, Cristian Sminchisescu
    Conference on Computer Vision and Pattern Recognition (CVPR) 2021
    Paper (pdf)
  • Multi-plane program induction with 3d box priors
    Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu
    Advances in Neural Information Processing Systems (NeurIPS) 2020
    Paper (pdf)
  • MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People
    Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T Freeman
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
    Paper (pdf)
  • Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows
    Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, Bill Freeman, Rahul Sukthankar, Cristian Sminchisescu
    European Conference on Computer Vision (ECCV), 2020
    Paper (pdf)
  • GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models
    Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T Freeman, Rahul Sukthankar, Cristian Sminchisescu
    Conference on Computer Vision and Pattern Recognition (CVPR), 2020
    Paper (pdf)
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    Project Repo
  • Perspective Plane Program Induction From a Single Image
    Yikai Li, Jiayuan Mao, Xiuming Zhang, William T Freeman, Joshua B Tenenbaum, Jiajun Wu
    Computer Vision and Pattern Recognition(CVPR), 2020
    Paper (pdf)
  • SpeedNet: Learning the Speediness in Videos
    Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
    Conference on Computer Vision and Pattern Recognition (CVPR), 2020
    Paper (pdf)
  • Semantic Pyramid for Image Generation
    Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T Freeman, Tali Dekel
    Computer Vision and Pattern Recognition (CVPR), 2020
    Paper (pdf)
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    Project Page
  • Deep Audio Priors Emerge From Harmonic Convolutional Networks
    Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B Tenenbaum, Antonio Torralba, William T Freeman
    International Conference on Learning Representations (ICLR), 2019
    Paper (pdf)
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    Project Page
  • Reasoning about physical interactions with object-centric models
    Michael Janner, Sergey Levine, William T Freeman, Joshua B Tenenbaum, Chelsea Finn, Jiajun Wu
    International Conference on Learning Representations (ICLR), 2019
    Paper (pdf)
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    Project Page
  • Boundless: Generative adversarial networks for image extension
    Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T Freeman
    IEEE International Conference on Computer Vision(ICCV), 2019
    Paper (pdf)
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    Project Page
  • Using unknown occluders to recover hidden scenes
    Adam B Yedidia, Manel Baradad, Christos Thrampoulidis, William T Freeman, Gregory W Wornell
    IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019
    Paper (pdf)
  • Learning shape templates with structured implicit functions
    Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T Freeman, Thomas Funkhouser
    IEEE International Conference on Computer Vision(ICCV), 2019
    Paper (pdf)
  • Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
    Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Fredo Durand, and William T. Freeman
    International Conference on Computer Vision (ICCV) 2019
    Paper (pdf)
  • ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles
    Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Fredo Durand, Antonio Torralba, Gregory W Wornell, William T Freeman, Sertac Karaman, Daniela Rus
    International Conference on Intelligent Transportation Systems (ITSC), 2018
  • Learning the Depths of Moving People by Watching Frozen People
    Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T Freeman
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

    Best Paper Honorable Mention.

    Paper (pdf)
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    Project page
  • Speech2Face: Learning the Face Behind a Voice
    Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T Freeman, Michael Rubinstein, Wojciech Matusik
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    Paper (pdf)
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    Project page
  • Using Unknown Occluders to Recover Hidden Scenes
    Adam B Yedidia, Manel Baradad, Christos Thrampoulidis, William T Freeman, Gregory W Wornell
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    Paper (pdf)
  • Program-Guided Image Manipulators
    Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
    IEEE International Conference on Computer Vision (ICCV), 2019
    Paper (pdf)
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    Project page
  • GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
    David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
    International Conference on Learning Representations (ICLR), 2019
    Paper (pdf)
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    Project page
  • Learning to Describe Scenes with Programs
    Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
    International Conference on Learning Representations (ICLR), 2019
    Paper (pdf)
  • Unsupervised Discovery of Parts, Structure, and Dynamics
    Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
    International Conference on Learning Representations (ICLR), 2019
    Paper (pdf)
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    Project page
  • Learning to Infer and Execute 3D Shape Programs
    Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
    International Conference on Learning Representations (ICLR), 2019
    Paper (pdf)
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    Project page
  • Reasoning About Physical Interactions with Object-Centric Models
    Michael Janner, Sergey Levine, William T. Freeman, Joshua T. Tenenbaum, Chelsea Finn, and Jiajun Wu
    International Conference on Learning Representations (ICLR), 2019
    Paper (pdf)
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    Project page
  • Inferring Light Fields from Shadows
    Manel Baradad, Vickie Ye, Adam B Yedidia, Frédo Durand, William T Freeman, Gregory W Wornell, Antonio Torralba
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Spotlight presentation.
    Paper (pdf)
  • Learning and Using the Arrow of Time
    Donglai Wei, Joseph Lim, Andrew Zisserman, William T Freeman
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    Paper (pdf)
  • Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation
    Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T Freeman, Michael Rubinstein
    SIGGRAPH, 2018
    Paper (pdf)
  • Cognitive Load Estimation in the Wild
    Lex Fridman, Bryan Reimer, Bruce Mehler, William T Freeman
    CHI Conference on Human Factors in Computing Systems, 2018
    Paper (pdf)
  • Exploiting Occlusion in Non-Line-of-Sight Active Imaging
    Christos Thrampoulidis, Gal Shulkind, Feihu Xu, William T Freeman, Jeffrey Shapiro, Antonio Torralba, Franco Wong, Gregory Wornell
    IEEE Transactions on Computational Imaging, 2018
    Paper (pdf)
  • Unsupervised Training for 3D Morphable Model Regression
    Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T Freeman
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    Paper (pdf)
  • Best-buddies similarity—robust template matching using mutual nearest neighbors
    Shaul Oron, Tali Dekel, Tianfan Xue, William T Freeman, Shai Avidan
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018
    Paper (pdf)
  • Medical Image Imputation from Image Collections
    Adrian V Dalca, Katherine L Bouman, William T Freeman, Natalia S Rost, Mert R Sabuncu, Polina Golland
    IEEE Transactions on Medical Imaging
    Paper (pdf)
  • Learning to Exploit Stability for 3D Scene Parsing
    Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, William T. Freeman, Joshua B. Tenenbaum, and Jiajun Wu
    Neural Information Processing Systems (NeurIPS), 2018
    Paper (pdf)
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    Project page
  • Visual Object Networks: Image Generation with Disentangled 3D Representations
    Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, and William T. Freeman
    Neural Information Processing Systems (NeurIPS), 2018
    Paper (pdf)
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    Project page
  • 3D-Aware Scene Manipulation via Inverse Graphics
    Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, and Joshua B. Tenenbaum
    Neural Information Processing Systems (NeurIPS), 2018
    Paper (pdf)
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    Project page
  • Learning to Reconstruct Shapes from Unseen Classes
    Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum, and Jiajun Wu
    Neural Information Processing Systems (NeurIPS), 2018. Oral presentation.
    Paper (pdf)
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    Project page
  • Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks
    Tianfan Xue, Jiajun Wu, Katherine L. Bouman, and William T. Freeman
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
    Paper (pdf)
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    Project page
  • Learning Shape Priors for Single-View 3D Completion and Reconstruction
    Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, and Joshua B. Tenenbaum
    European Conference on Computer Vision (ECCV), 2018
    Paper (pdf)
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    Project page
  • Physical Primitive Decomposition
    Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, and Jiajun Wu
    European Conference on Computer Vision (ECCV), 2018
    Paper (pdf)
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    Project page
  • Seeing Tree Structure from Vibration
    Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, and William T. Freeman
    European Conference on Computer Vision (ECCV), 2018
    Paper (pdf)
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    Project page
  • 3D Shape Perception from Monocular Vision, Touch, and Shape Priors
    Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, and Edward H. Adelson
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Paper (pdf)
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    Project page
  • MoSculp: Interactive Visualization of Shape and Time
    Xiuming Zhang, Tali Dekel, Tianfan Xue, Andrew Owens, Qiurui He, Jiajun Wu, Stefanie Mueller, and William T. Freeman
    ACM Symposium on User Interface Software and Technology (UIST), 2018
    Paper (pdf)
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    Project page
  • Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
    Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, and William T. Freeman
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    Paper (pdf)
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    Project page
  • Learning to See Physics via Visual De-animation
    Jiajun Wu, Erika Lu, Pushmeet Kohli, William T. Freeman, and Joshua B. Tenenbaum
    Neural Information Processing Systems (NIPS), 2017. Spotlight presentation.
    Paper (pdf)
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    Project page
  • Shape and Material from Sound
    Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Joshua B. Tenenbaum, and William T. Freeman
    Neural Information Processing Systems (NIPS), 2017. Spotlight presentation.
    Paper (pdf)
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    Project page
  • Physics 101: Learning Physical Object Properties from Unlabeled Videos
    Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, and William T. Freeman
    British Machine Vision Conference (BMVC), 2016.
    Paper (pdf)
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    Project page
  • A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding
    Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T Freeman, Joshua B Tenenbaum
    Annual Meeting of the Cognitive Science Society (CogSci), 2016. Oral presentation.
    Paper (pdf)
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    Project page
  • Video Camera–Based Vibration Measurement for Civil Infrastructure Applications
    Justin G Chen, Abe Davis, Neal Wadhwa, Frédo Durand, William T Freeman, Oral Büyüköztürk
    Journal of Infrastructure Systems, Vol 3 (2)
    Paper (pdf)
  • Eulerian Video Magnification and Analysis
    Neal Wadhwa, Hao-Yu Wu, Abe Davis, Michael Rubinstein, Eugene Shih, Gautham J. Mysore, Justin G. Chen, Oral Buyukozturk, John V. Guttag, William T. Freeman, Frédo Durand
    Communications of the ACM, Vol. 60 No. 1, Pages 87-95, January 2017
    Paper (pdf)
  • Marrnet: 3D shape reconstruction via 2.5D sketches
    Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T Freeman, Joshua B Tenenbaum
    Neural Information Processing Systems (NIPS), 2017
    Paper (pdf)
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    Project page
  • On the Effectiveness of Visible Watermarks
    T Dekel, M Rubinstein, C Liu, WT Freeman
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
    Paper (pdf)
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    Google Research blog post
  • Synthesizing normalized faces from facial identity features
    Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T Freeman
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
    Paper (pdf)
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    synced review
  • Guest Editorial Special Issue on Extreme Imaging
    WT Freeman, A Savakis, Y Schechner, N Snavely, W Heidrich
    IEEE Transactions on Computational Imaging 3 (3), 382-383
    Paper (pdf)
  • Turning Corners into Cameras: Principles and Methods
    Katherine L Bouman, Vickie Ye, Adam B Yedidia, Frédo Durand, Gregory W Wornell, Antonio Torralba, William T Freeman
    International Conference on Computer Vision (ICCV), 2017
    Paper (pdf)
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    Project page
  • Generative modeling of audible shapes for object perception
    Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H McDermott, Joshua B Tenenbaum, William T Freeman
    International Conference on Computer Vision (ICCV), 2017
    Paper (pdf)
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    Project page
  • Motion microscopy for visualizing and quantifying small motions
    Neal Wadhwa, Justin G Chen, Jonathan B Sellon, Donglai Wei, Michael Rubinstein, Roozbeh Ghaffari, Dennis M Freeman, Oral Büyüköztürk, Pai Wang, Sijie Sun, Sung Hoon Kang, Katia Bertoldi, Frédo Durand, William T Freeman
    Proceedings of the National Academy of Sciences (PNAS), 2017
    Paper (pdf)
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    Project page
  • Video Enhancement with Task-Oriented Flow
    Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T Freeman
    International Journal of Computer Vision (IJCV), 2019
    Paper (pdf)
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    Project page
  • Ambient Sound Provides Supervision for Visual Learning
    Andrew Owens, Jiajun Wu, Josh McDermott, William Freeman, Antonio Torralba.
    European Conference on Computer Vision (ECCV), 2016. Oral presentation.
    Paper (pdf)
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    Project page
  • Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
    Andrew Owens, Jiajun Wu, Josh H McDermott, William T Freeman, Antonio Torralba
    Interactional Journal of Computer Vision (IJCV), 2018
    Paper (pdf)
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    Project page
  • Smart, Sparse Contours to Represent and Edit Images
    T Dekel, C Gan, D Krishnan, C Liu, WT Freeman
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    Paper (pdf)
  • 3D Interpreter Networks for Viewer-Centered Wireframe Modeling
    Jiajun Wu, Tianfan Xue, Joseph J Lim, Yuandong Tian, Joshua B Tenenbaum, Antonio Torralba, William T Freeman
    International Journal of Computer Vision (IJCV), 2018
    Paper (pdf)
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    Project page
  • Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
    Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum
    Neural Information Processing Systems (NIPS), 2016
    Paper (pdf)
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    Project page
  • Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
    Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman
    Neural Information Processing Systems (NIPS), 2016. Oral presentation.
    Paper (pdf)
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    Project page
  • Single Image 3D Interpreter Network
    Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman
    European Conference on Computer Vision (ECCV), 2016. Oral presentation.
    Paper (pdf)
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    Project page
  • Accidental Pinhole and Pinspeck Cameras
    Antonio Torralba and William T. Freeman
    International Journal of Computer Vision

     110 (2), 92-112

    Paper (pdf)
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    Project page
  • Visually Indicated Sounds
    A Owens, P Isola, J McDermott, A Torralba, EH Adelson, WT Freeman
    Computer Vision and Pattern Recognition (CVPR) 2016
    Paper (pdf)
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    project page
  • Computational Imaging for VLBI Image Reconstruction
    Katherine L. Bouman, MD Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
    Computer Vision and Pattern Recognition (CVPR) 2016
    Paper (pdf)
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    VLBI reconstruction dataset
  • Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
    Jiajun Wu, Ilker Yildirim, Joseph J. Lim, William T. Freeman, Joshua B. Tenenbaum
    Neural Information Processing Systems, 127-135 (NIPS), 2015
    Paper (pdf)
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    Project page
  • Developments with Motion Magnification for Structural Modal Identification Through Camera Video
    Justin G Chen, Neal Wadhwa, Fredo Durand, William T Freeman, Oral Buyukozturk
    Dynamics of Civil Structures, Volume 2, pages 49-57, 2015
    Paper (pdf)
  • Modal identification of simple structures with high-speed video using motion magnification
    Justin G Chen, Neal Wadhwa, YJ Cha, Fredo Durand, William T Freeman, Oral Buyukozturk
    Journal of Sound and Vibration vol 345, pages 58-71, 2015
    Paper (pdf)
  • A computational approach for obstruction-free photography
    Tianfan Xue, Michael Rubinstein, Ce Liu, William T. Freeman
    ACM Transactions on Graphics (TOG) 34 (4), (SIGGRAPH), 2015
    Paper (pdf)
  • The Aperture Problem for Refractive Motion
    Tianfan Xue, Hossein Mobahi, Fredo Durand, William T. Freeman
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
    Paper (pdf)
  • Visual Vibrometry: Estimating Material Properties from Small Motions in Video
    Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Fredo Durand, William T. Freeman
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
    Paper (pdf)
  • Video Magnification in Presence of Large Motions
    Mohamed Elgharib, Mohamed Hefeeda, Fredo Durand, William T. Freeman
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
    Paper (pdf)
  • Best-Buddies Similarity for Robust Template Matching
    Tali Dekel, Shaul Oron, Michael Rubinstein, Shai Avidan, William T. Freeman
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
    Paper (pdf)