Freeman, William T.

145 publications

TMLR 2026 Denoising Hamiltonian Network for Physical Reasoning Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas Guibas, Kaiming He

ICLR 2025 Adaptive Length Image Tokenization via Recurrent Allocation Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman

ICLRW 2025 Adaptive Length Image Tokenization via Recurrent Allocation Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman

CVPR 2025 Eval3D: Interpretable and Fine-Grained Evaluation for 3D Generation Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma

CVPR 2025 From Slow Bidirectional to Fast Autoregressive Video Diffusion Models Tianwei Yin, Qiang Zhang, Richard Zhang, William T. Freeman, Fredo Durand, Eli Shechtman, Xun Huang

ICLR 2025 I-Con: A Unifying Framework for Representation Learning Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton

CVPR 2025 RandAR: Decoder-Only Autoregressive Visual Generation in Random Orders Ziqi Pang, Tianyuan Zhang, Fujun Luan, Yunze Man, Hao Tan, Kai Zhang, William T. Freeman, Yu-Xiong Wang

ICLR 2025 RelitLRM: Generative Relightable Radiance for Large Reconstruction Models Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang, Fujun Luan

NeurIPS 2025 Single-Pass Adaptive Image Tokenization for Minimum Program Search Shivam Duggal, Sanghyun Byun, William T. Freeman, Antonio Torralba, Phillip Isola

CVPR 2025 WonderWorld: Interactive 3D Scene Generation from a Single Image Hong-Xing Yu, Haoyi Duan, Charles Herrmann, William T. Freeman, Jiajun Wu

ICLR 2024 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

ICLR 2024 FeatUp: A Model-Agnostic Framework for Features at Any Resolution Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman

NeurIPS 2024 Improved Distribution Matching Distillation for Fast Image Synthesis Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman

CVPR 2024 One-Step Diffusion with Distribution Matching Distillation Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park

ECCV 2024 Physics-Based Interaction with 3D Objects via Video Generation Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman

ECCV 2024 Seeing Faces in Things: A Model and Dataset for Pareidolia Mark T Hamilton, Simon Stent, Vasha G DuTell, Anne Harrington, Jennifer E Corbett, Ruth Rosenholtz, William T. Freeman

CVPR 2024 Separating the "Chirp" from the "Chat": Self-Supervised Visual Grounding of Sound and Language Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman

CVPR 2024 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

ICCV 2023 3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-bin Huang

WACV 2023 Can Shadows Reveal Biometric Information? Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell

NeurIPSW 2023 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

ICLR 2023 Exploring Perceptual Straightness in Learned Visual Representations Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman

CVPR 2023 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

ICML 2023 Muse: Text-to-Image Generation via Masked Generative Transformers Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan

ICLR 2023 Neural Groundplans: Persistent Neural Scene Representations from a Single Image Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

ICCV 2023 Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman

NeurIPSW 2023 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

ICLR 2022 Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton, Scott Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman

ECCV 2022 Disentangling Architecture and Training for Optical Flow Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David J. Fleet, William T. Freeman

NeurIPSW 2022 Exploring the Perceptual Straightness of Adversarially Robust and Biologically-Inspired Visual Representations Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman

CVPR 2022 MaskGIT: Masked Generative Image Transformer Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman

ECCV 2022 Structure and Motion from Casual Videos Zhoutong Zhang, Forrester Cole, Zhengqi Li, Noah Snavely, Michael Rubinstein, William T. Freeman

ICLR 2022 Unsupervised Semantic Segmentation by Distilling Feature Correspondences Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman

CVPR 2021 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

ICCV 2021 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

NeurIPSW 2021 Finding Maximally Informative Patches in Images Howard Zhong, Guha Balakrishnan, Richard Strong Bowen, Ramin Zabih, William T. Freeman

CVPR 2021 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

CVPR 2021 Neural Descent for Visual 3D Human Pose and Shape Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

CVPR 2021 Omnimatte: Associating Objects and Their Effects in Video Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein

ICCV 2021 SLIDE: Single Image 3D Photography with Soft Layering and Depth-Aware Inpainting Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu

ICCV 2021 THUNDR: Transformer-Based 3D Human Reconstruction with Markers Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

ICCV 2021 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

ICLR 2020 Deep Audio Priors Emerge from Harmonic Convolutional Networks Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

ECCV 2020 Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu

ICLR 2019 Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu

ICLR 2019 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

ICLR 2019 Learning to Describe Scenes with Programs Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ICLR 2019 Learning to Infer and Execute 3D Shape Programs Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ICLR 2019 Unsupervised Discovery of Parts, Structure, and Dynamics Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ICLRW 2019 Visualizing and Understanding GANs David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

CVPRW 2018 Inverting Audio-Visual Simulation for Shape and Material Perception Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, Joshua B. Tenenbaum, William T. Freeman

ECCV 2018 Learning Shape Priors for Single-View 3D Completion and Reconstruction Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum

ECCV 2018 Learning-Based Video Motion Magnification Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed Elgharib, Fr'edo Durand, William T. Freeman, Wojciech Matusik

ECCV 2018 Physical Primitive Decomposition Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ECCV 2018 Seeing Tree Structure from Vibration Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman

ICCV 2017 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

CVPR 2017 On the Effectiveness of Visible Watermarks Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman

CVPR 2017 Synthesizing Normalized Faces from Facial Identity Features Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman

ICCV 2017 Turning Corners into Cameras: Principles and Methods Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Fredo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman

ECCV 2016 Ambient Sound Provides Supervision for Visual Learning Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba

CVPR 2016 Computational Imaging for VLBI Image Reconstruction Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman

ECCV 2016 Single Image 3D Interpreter Network Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

CVPR 2016 Visually Indicated Sounds Andrew Owens, Phillip Isola, Josh McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman

CVPR 2015 Best-Buddies Similarity for Robust Template Matching Tali Dekel, Shaul Oron, Michael Rubinstein, Shai Avidan, William T. Freeman

ICCV 2015 Learning Ordinal Relationships for Mid-Level Vision Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman

CVPR 2015 Reflection Removal Using Ghosting Cues YiChang Shih, Dilip Krishnan, Fredo Durand, William T. Freeman

CVPR 2015 The Aperture Problem for Refractive Motion Tianfan Xue, Hossein Mobahi, Fredo Durand, William T. Freeman

CVPR 2015 Video Magnification in Presence of Large Motions Mohamed Elgharib, Mohamed Hefeeda, Fredo Durand, William T. Freeman

CVPR 2015 Visual Vibrometry: Estimating Material Properties from Small Motion in Video Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Fredo Durand, William T. Freeman

CVPR 2014 A Compositional Model for Low-Dimensional Image Set Representation Hossein Mobahi, Ce Liu, William T. Freeman

ECCV 2014 Refraction Wiggles for Measuring Fluid Depth and Velocity from Video Tianfan Xue, Michael Rubinstein, Neal Wadhwa, Anat Levin, Frédo Durand, William T. Freeman

CVPR 2014 Seeing the Arrow of Time Lyndsey C. Pickup, Zheng Pan, Donglai Wei, YiChang Shih, Changshui Zhang, Andrew Zisserman, Bernhard Scholkopf, William T. Freeman

ICCV 2013 Estimating the Material Properties of Fabric from Video Katherine L. Bouman, Bei Xiao, Peter Battaglia, William T. Freeman

ICCV 2013 Group Norm for Learning Structured SVMs with Unstructured Latent Variables Daozheng Chen, Dhruv Batra, William T. Freeman

CVPR 2012 Accidental Pinhole and Pinspeck Cameras: Revealing the Scene Outside the Picture Antonio Torralba, William T. Freeman

ECCV 2012 Annotation Propagation in Large Image Databases via Dense Image Correspondence Michael Rubinstein, Ce Liu, William T. Freeman

UAI 2012 Exploiting Compositionality to Explore a Large Space of Model Structures Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum

CVPR 2012 Laser Speckle Photography for Surface Tampering Detection Yichang Shih, Abe Davis, Samuel W. Hasinoff, Frédo Durand, William T. Freeman

ECCV 2012 Patch Complexity, Finite Pixel Correlations and Optimal Denoising Anat Levin, Boaz Nadler, Frédo Durand, William T. Freeman

ECCV 2012 Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation Forrester Cole, Phillip Isola, William T. Freeman, Frédo Durand, Edward H. Adelson

CVPR 2011 Blur Kernel Estimation Using the Radon Transform Taeg Sang Cho, Sylvain Paris, Berthold K. P. Horn, William T. Freeman

ICCV 2011 Diffuse Reflectance Imaging with Astronomical Applications Samuel W. Hasinoff, Anat Levin, Philip R. Goode, William T. Freeman

CVPR 2011 Efficient Marginal Likelihood Optimization in Blind Deconvolution Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman

ICCV 2011 Evaluation of Image Features Using a Photorealistic Virtual World Biliana Kaneva, Antonio Torralba, William T. Freeman

CVPR 2011 Motion Denoising with Application to Time-Lapse Photography Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman

CVPR 2010 A Content-Aware Image Prior Taeg Sang Cho, Neel Joshi, C. Lawrence Zitnick, Sing Bing Kang, Richard Szeliski, William T. Freeman

ECCV 2010 A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation Ce Liu, William T. Freeman

CVPR 2010 A Probabilistic Image Jigsaw Puzzle Solver Taeg Sang Cho, Shai Avidan, William T. Freeman

CVPR 2010 Analyzing Spatially-Varying Blur Ayan Chakrabarti, Todd E. Zickler, William T. Freeman

CVPR 2010 Latent Hierarchical Structural Learning for Object Detection Long Zhu, Yuanhao Chen, Alan L. Yuille, William T. Freeman

CVPR 2010 Noise-Optimal Capture for High Dynamic Range Photography Samuel W. Hasinoff, Frédo Durand, William T. Freeman

CVPR 2010 Part and Appearance Sharing: Recursive Compositional Models for Multi-View Long Zhu, Yuanhao Chen, Antonio Torralba, William T. Freeman, Alan L. Yuille

ICCV 2009 Ground Truth Dataset and Baseline Evaluations for Intrinsic Image Algorithms Roger B. Grosse, Micah K. Johnson, Edward H. Adelson, William T. Freeman

ICCV 2009 Time-Constrained Photography Samuel W. Hasinoff, Kiriakos N. Kutulakos, Frédo Durand, William T. Freeman

CVPR 2009 Understanding and Evaluating Blind Deconvolution Algorithms Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman

CVPRW 2008 Creating and Exploring a Large Photorealistic Virtual Space Josef Sivic, Biliana Kaneva, Antonio Torralba, Shai Avidan, William T. Freeman

CVPR 2008 Human-Assisted Motion Annotation Ce Liu, William T. Freeman, Edward H. Adelson, Yair Weiss

ECCV 2008 SIFT Flow: Dense Correspondence Across Different Scenes Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman

CVPR 2008 The Patch Transform and Its Applications to Image Editing Taeg Sang Cho, Moshe Butman, Shai Avidan, William T. Freeman

ECCV 2008 Understanding Camera Trade-Offs Through a Bayesian Analysis of Light Field Projections Anat Levin, William T. Freeman, Frédo Durand

CVPR 2008 Unsupervised Discovery of Visual Object Class Hierarchies Josef Sivic, Bryan C. Russell, Andrew Zisserman, William T. Freeman, Alexei A. Efros

ICCV 2007 A Reliable Skin Mole Localization Scheme Taeg Sang Cho, William T. Freeman, Hensin Tsao

CVPR 2007 Learning Gaussian Conditional Random Fields for Low-Level Vision Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman

NeurIPS 2007 Object Recognition by Scene Alignment Bryan Russell, Antonio Torralba, Ce Liu, Rob Fergus, William T. Freeman

CVPR 2007 What Makes a Good Model of Natural Images? Yair Weiss, William T. Freeman

NeurIPS 2006 Analysis of Contour Motions Ce Liu, William T. Freeman, Edward H. Adelson

CVPR 2006 Depth from Familiar Objects: A Hierarchical Model for 3D Scenes Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky

CVPR 2006 Estimating Intrinsic Component Images Using Non-Linear Regression Marshall F. Tappen, Edward H. Adelson, William T. Freeman

CVPR 2006 Noise Estimation from a Single Image Ce Liu, William T. Freeman, Richard Szeliski, Sing Bing Kang

CVPR 2006 Using Multiple Segmentations to Discover Objects and Their Extent in Image Collections Bryan C. Russell, William T. Freeman, Alexei A. Efros, Josef Sivic, Andrew Zisserman

ICCV 2005 An Ensemble Prior of Image Structure for Cross-Modal Inference Srinivas Ravela, Antonio Torralba, William T. Freeman

NeurIPS 2005 Describing Visual Scenes Using Transformed Dirichlet Processes Antonio Torralba, Alan S. Willsky, Erik B. Sudderth, William T. Freeman

ICCV 2005 Discovering Objects and Their Localization in Images Josef Sivic, Bryan C. Russell, Alexei A. Efros, Andrew Zisserman, William T. Freeman

ICCV 2005 Learning Hierarchical Models of Scenes, Objects, and Parts Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky

NeurIPS 2004 Contextual Models for Object Detection Using Boosted Random Fields Antonio Torralba, Kevin P. Murphy, William T. Freeman

NeurIPS 2004 Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky

CVPR 2004 Efficient Graphical Models for Processing Images Marshall F. Tappen, Bryan C. Russell, William T. Freeman

CVPR 2004 Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection Antonio Torralba, Kevin P. Murphy, William T. Freeman

CVPR 2004 Visual Hand Tracking Using Nonparametric Belief Propagation Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky

CVPRW 2004 Visual Hand Tracking Using Nonparametric Belief Propagation Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky

ICCV 2003 Comparison of Graph Cuts with Belief Propagation for Stereo, Using Identical MRF Parameters Marshall F. Tappen, William T. Freeman

ICCV 2003 Context-Based Vision System for Place and Object Recognition Antonio Torralba, Kevin P. Murphy, William T. Freeman, Mark A. Rubin

NeurIPS 2003 Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky

CVPR 2003 Nonparametric Belief Propagation Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky

CVPR 2003 Properties and Applications of Shape Recipes Antonio Torralba, William T. Freeman

CVPR 2003 Shape-Time Photography William T. Freeman, Hao Zhang

NeurIPS 2003 Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes Kevin P. Murphy, Antonio Torralba, William T. Freeman

NeurIPS 2002 Recovering Intrinsic Images from a Single Image Marshall F. Tappen, William T. Freeman, Edward H. Adelson

NeurIPS 2002 Shape Recipes: Scene Representations That Refer to the Image William T. Freeman, Antonio Torralba

NeCo 2001 Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology Yair Weiss, William T. Freeman

ICCV 2001 Learning Local Evidence for Shading and Reflectance Matt Bell, William T. Freeman

NeurIPS 2000 Generalized Belief Propagation Jonathan S. Yedidia, William T. Freeman, Yair Weiss

NeurIPS 2000 Learning Joint Statistical Models for Audio-Visual Fusion and Segregation John W. Fisher Iii, Trevor Darrell, William T. Freeman, Paul A. Viola

NeCo 2000 Separating Style and Content with Bilinear Models Joshua B. Tenenbaum, William T. Freeman

NeurIPS 1999 Bayesian Reconstruction of 3D Human Motion from Single-Camera Video Nicholas R. Howe, Michael E. Leventon, William T. Freeman

NeurIPS 1999 Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology Yair Weiss, William T. Freeman

ICCV 1999 Learning Low-Level Vision William T. Freeman, Egon C. Pasztor

ECCV 1998 A Factorization Approach to Grouping Pietro Perona, William T. Freeman

NeurIPS 1998 Learning to Estimate Scenes from Images William T. Freeman, Egon C. Pasztor

NeurIPS 1997 Bayesian Model of Surface Perception William T. Freeman, Paul A. Viola

CVPR 1997 Learning Bilinear Models for Two-Factor Problems in Vision William T. Freeman, Joshua B. Tenenbaum

NeurIPS 1996 Separating Style and Content Joshua B. Tenenbaum, William T. Freeman

ICCV 1995 Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy William T. Freeman, David H. Brainard

ICCV 1993 Exploiting the Generic View Assumption to Estimate Scene Parameters William T. Freeman

ICCV 1990 Steerable Filters for Early Vision, Image Analysis, and Wavelet Decomposition William T. Freeman, Edward H. Adelson