Steerable filters for early vision, image analysis, and wavelet decomposition. - William T. Freeman; Edward H. Adelson (ICCV, 1990)

Motion without movement. - William T. Freeman; Edward H. Adelson; David J. Heeger (SIGGRAPH, 1991)

The Design and Use of Steerable Filters. - William T. Freeman; Edward H. Adelson (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

Shiftable multiscale transforms. - Eero P. Simoncelli; William T. Freeman; Edward H. Adelson; David J. Heeger (IEEE Trans. Inf. Theory, 1992)

Exploiting the generic view assumption to estimate scene parameters. - William T. Freeman (ICCV, 1993)

Demonstration of an Interactive Multimedia Environment. - Charles Rich; Richard C. Waters; Carol Strohecker; Yves Schabes; William T. Freeman; Mark C. Torrance; Andrew R. Golding; Michal Roth (Computer, 1994)

An Animated On-Line Community with Artificial Agents. - Charles Rich; Richard C. Waters; Yves Schabes; William T. Freeman; Mark C. Torrance; Andrew R. Golding; Michal Roth (IEEE Multim., 1994)

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

The steerable pyramid: a flexible architecture for multi-scale derivative computation. - Eero P. Simoncelli; William T. Freeman (ICIP (3), 1995)

Computer vision for computer games. - William T. Freeman; Ken-ichi Tanaka; Jun Ohta; Kazuo Kyuma (FG, 1996)

Example-based head tracking. - Sourabh Niyogi; William T. Freeman (FG, 1996)

Separating Style and Content. - Joshua B. Tenenbaum; William T. Freeman (NIPS, 1996)

Exploiting the generic viewpoint assumption. - William T. Freeman (Int. J. Comput. Vis., 1996)

Learning bilinear models for two-factor problems in vision. - William T. Freeman; Joshua B. Tenenbaum (CVPR, 1997)

Bayesian Model of Surface Perception. - William T. Freeman; Paul A. Viola (NIPS, 1997)

Design galleries: a general approach to setting parameters for computer graphics and animation. - Joe Marks; Brad Andalman; Paul A. Beardsley; William T. Freeman; Sarah F. Gibson; Jessica K. Hodgins; T. Kang; Brian Mirtich; Hanspeter Pfister; Wheeler Ruml; Kathy Ryall; Joshua E. Seims; et al. (SIGGRAPH, 1997)

A Factorization Approach to Grouping. - Pietro Perona; William T. Freeman (ECCV (1), 1998)

Learning to Estimate Scenes from Images. - William T. Freeman; Egon C. Pasztor (NIPS, 1998)

Interfaces for humans (panel): natural interaction, tangible data, and beyond. - Michael Harris; Bill Buxton; William T. Freeman; Hiroshi Ishii 001; Mark Lucente; Michael J. Sinclair (SIGGRAPH Abstracts and Applications, 1998)

Computer Vision for Interactive Computer Graphics. - William T. Freeman; David B. Anderson; Paul A. Beardsley; Chris Dodge; Michal Roth; Craig D. Weissman; William S. Yerazunis; Hiroshi Kage; Kazuo Kyuma; Yasunari Miyake; Ken-ichi Tanaka (IEEE Computer Graphics and Applications, 1998)

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

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

Ausio-visual Segmentation and "The Cocktail Party Effect". - Trevor Darrell; John W. Fisher III; Paul A. Viola; William T. Freeman (ICMI, 2000)

Learning Joint Statistical Models for Audio-Visual Fusion and Segregation. - John W. Fisher III; Trevor Darrell; William T. Freeman; Paul A. Viola (NIPS, 2000)

Generalized Belief Propagation. - Jonathan S. Yedidia; William T. Freeman; Yair Weiss (NIPS, 2000)

Learning Low-Level Vision. - William T. Freeman; Egon C. Pasztor; Owen T. Carmichael (Int. J. Comput. Vis., 2000)

Separating Style and Content with Bilinear Models. - Joshua B. Tenenbaum; William T. Freeman (Neural Comput., 2000)

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

Teaching applied computing without programming: a case-based introductory course for general education. - Joe Marks; William T. Freeman; Henry H. Leitner (SIGCSE, 2001)

Image quilting for texture synthesis and transfer. - Alexei A. Efros; William T. Freeman (SIGGRAPH, 2001)

Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. - Yair Weiss; William T. Freeman (Neural Comput., 2001)

On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs. - Yair Weiss; William T. Freeman (IEEE Trans. Inf. Theory, 2001)

Shape Recipes: Scene Representations that Refer to the Image. - William T. Freeman; Antonio Torralba 001 (NIPS, 2002)

Example-Based Super-Resolution. - William T. Freeman; Thouis R. Jones; Egon C. Pasztor (IEEE Computer Graphics and Applications, 2002)

Shape-Time Photography. - William T. Freeman; Hao Zhang 003 (CVPR (2), 2003)

Nonparametric Belief Propagation. - Erik B. Sudderth; Alexander T. Ihler; William T. Freeman; Alan S. Willsky (CVPR (1), 2003)

Properties and Applications of Shape Recipes. - Antonio Torralba 001; William T. Freeman (CVPR (2), 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 001; Kevin P. Murphy; William T. Freeman; Mark A. Rubin (ICCV, 2003)

Efficient Multiscale Sampling from Products of Gaussian Mixtures. - Alexander T. Ihler; Erik B. Sudderth; William T. Freeman; Alan S. Willsky (NIPS, 2003)

Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes. - Kevin P. Murphy; Antonio Torralba 001; William T. Freeman (NIPS, 2003)

Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision. - James M. Rehg; Vladimir Pavlovic 001; Thomas S. Huang; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Learning style translation for the lines of a drawing. - William T. Freeman; Joshua B. Tenenbaum; Egon C. Pasztor (ACM Trans. Graph., 2003)

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

Efficient Graphical Models for Processing Images. - Marshall F. Tappen; Bryan C. Russell; William T. Freeman (CVPR (2), 2004)

Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (CVPR (2), 2004)

Single-frame text super-resolution: a bayesian approach. - Gerald Dalley; William T. Freeman; Joe Marks (ICIP, 2004)

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

Contextual Models for Object Detection Using Boosted Random Fields. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (NIPS, 2004)

An Ensemble Prior of Image Structure for Cross-Modal Inference. - Srinivas Ravela; Antonio Torralba 001; 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 001; William T. Freeman; Alan S. Willsky (ICCV, 2005)

Describing Visual Scenes using Transformed Dirichlet Processes. - Erik B. Sudderth; Antonio Torralba 001; William T. Freeman; Alan S. Willsky (NIPS, 2005)

Recovering Intrinsic Images from a Single Image. - Marshall F. Tappen; William T. Freeman; Edward H. Adelson (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Constructing free-energy approximations and generalized belief propagation algorithms. - Jonathan S. Yedidia; William T. Freeman; Yair Weiss (IEEE Trans. Inf. Theory, 2005)

Motion magnification. - Ce Liu 001; Antonio Torralba 001; William T. Freeman; Frédo Durand; Edward H. Adelson (ACM Trans. Graph., 2005)

Object Detection and Localization Using Local and Global Features. - Kevin P. Murphy; Antonio Torralba 001; Daniel Eaton; William T. Freeman (Toward Category-Level Object Recognition, 2006)

Shared Features for Multiclass Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Toward Category-Level Object Recognition, 2006)

Noise Estimation from a Single Image. - Ce Liu 001; William T. Freeman; Richard Szeliski; Sing Bing Kang (CVPR (1), 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 (CVPR (2), 2006)

Depth from Familiar Objects: A Hierarchical Model for 3D Scenes. - Erik B. Sudderth; Antonio Torralba 001; William T. Freeman; Alan S. Willsky (CVPR (2), 2006)

Estimating Intrinsic Component Images using Non-Linear Regression. - Marshall F. Tappen; Edward H. Adelson; William T. Freeman (CVPR (2), 2006)

Analysis of Contour Motions. - Ce Liu 001; William T. Freeman; Edward H. Adelson (NIPS, 2006)

Removing camera shake from a single photograph. - Robert Fergus; Barun Singh; Aaron Hertzmann; Sam T. Roweis; William T. Freeman (ACM Trans. Graph., 2006)

Learning Gaussian Conditional Random Fields for Low-Level Vision. - Marshall F. Tappen; Ce Liu 001; Edward H. Adelson; William T. Freeman (CVPR, 2007)

What makes a good model of natural images? - Yair Weiss; William T. Freeman (CVPR, 2007)

A reliable skin mole localization scheme. - Taeg Sang Cho; William T. Freeman; Hensin Tsao (ICCV, 2007)

Object Recognition by Scene Alignment. - Bryan C. Russell; Antonio Torralba 001; Ce Liu 001; Robert Fergus; William T. Freeman (NIPS, 2007)

The Random Camera, the Coded Aperture Camera, and Other Cameras. - William T. Freeman (Rendering Techniques, 2007)

Exploring Defocus Matting: Nonparametric Acceleration, Super-Resolution, and Off-Center Matting. - Neel Joshi; Wojciech Matusik; Shai Avidan; Hanspeter Pfister; William T. Freeman (IEEE Computer Graphics and Applications, 2007)

Face Hallucination: Theory and Practice. - Ce Liu 001; Heung-Yeung Shum; William T. Freeman (Int. J. Comput. Vis., 2007)

Sharing Visual Features for Multiclass and Multiview Object Detection. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Image and depth from a conventional camera with a coded aperture. - Anat Levin; Robert Fergus; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2007)

The patch transform and its applications to image editing. - Taeg Sang Cho; Moshe Butman; Shai Avidan; William T. Freeman (CVPR, 2008)

Human-assisted motion annotation. - Ce Liu 001; William T. Freeman; Edward H. Adelson; Yair Weiss (CVPR, 2008)

Creating and exploring a large photorealistic virtual space. - Josef Sivic; Biliana Kaneva; Antonio Torralba 001; Shai Avidan; William T. Freeman (CVPR Workshops, 2008)

Unsupervised discovery of visual object class hierarchies. - Josef Sivic; Bryan C. Russell; Andrew Zisserman; William T. Freeman; Alexei A. Efros (CVPR, 2008)

Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections. - Anat Levin; William T. Freeman; Frédo Durand (ECCV (4), 2008)

SIFT Flow: Dense Correspondence across Different Scenes. - Ce Liu 001; Jenny Yuen; Antonio Torralba 001; Josef Sivic; William T. Freeman (ECCV (3), 2008)

Guest Editorial. - William T. Freeman; Pietro Perona; Bernhard Schölkopf (Int. J. Comput. Vis., 2008)

LabelMe: A Database and Web-Based Tool for Image Annotation. - Bryan C. Russell; Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Int. J. Comput. Vis., 2008)

Describing Visual Scenes Using Transformed Objects and Parts. - Erik B. Sudderth; Antonio Torralba 001; William T. Freeman; Alan S. Willsky (Int. J. Comput. Vis., 2008)

Automatic Estimation and Removal of Noise from a Single Image. - Ce Liu 001; Richard Szeliski; Sing Bing Kang; C. Lawrence Zitnick; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition. - Antonio Torralba 001; Robert Fergus; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Signal and Image Processing with Belief Propagation [DSP Applications]. - Erik B. Sudderth; William T. Freeman (IEEE Signal Process. Mag., 2008)

Motion-invariant photography. - Anat Levin; Peter Sand; Taeg Sang Cho; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2008)

Understanding and evaluating blind deconvolution algorithms. - Anat Levin; Yair Weiss; Frédo Durand; William T. Freeman (CVPR, 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 (ICCV, 2009)

Informative sensing of natural images. - Hyun Sung Chang; Yair Weiss; William T. Freeman (ICIP, 2009)

Segmenting Scenes by Matching Image Composites. - Bryan C. Russell; Alexei A. Efros; Josef Sivic; Bill Freeman; Andrew Zisserman (NIPS, 2009)

Nonparametric Bayesian Texture Learning and Synthesis. - Long Zhu; Yuanhao Chen; Bill Freeman; Antonio Torralba 001 (NIPS, 2009)

Informative Sensing - Hyun Sung Chang; Yair Weiss; William T. Freeman (CoRR, 2009)

4D frequency analysis of computational cameras for depth of field extension. - Anat Levin; Samuel W. Hasinoff; Paul Green 001; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2009)

Analyzing spatially-varying blur. - Ayan Chakrabarti; Todd E. Zickler; William T. Freeman (CVPR, 2010)

A probabilistic image jigsaw puzzle solver. - Taeg Sang Cho; Shai Avidan; 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 (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 001; William T. Freeman; Alan L. Yuille (CVPR, 2010)

Latent hierarchical structural learning for object detection. - Long Zhu; Yuanhao Chen; Alan L. Yuille; William T. Freeman (CVPR, 2010)

A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation. - Ce Liu 001; William T. Freeman (ECCV (3), 2010)

Nonparametric belief propagation. - Erik B. Sudderth; Alexander T. Ihler; Michael Isard; William T. Freeman; Alan S. Willsky (Commun. ACM, 2010)

Using the forest to see the trees: exploiting context for visual object detection and localization. - Antonio Torralba 001; Kevin P. Murphy; William T. Freeman (Commun. ACM, 2010)

The Patch Transform. - Taeg Sang Cho; Shai Avidan; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space. - Biliana Kaneva; Josef Sivic; Antonio Torralba 001; Shai Avidan; William T. Freeman (Proc. IEEE, 2010)

Blur kernel estimation using the radon transform. - Taeg Sang Cho; Sylvain Paris; Berthold K. P. Horn; William T. Freeman (CVPR, 2011)

Efficient marginal likelihood optimization in blind deconvolution. - Anat Levin; Yair Weiss; Frédo Durand; William T. Freeman (CVPR, 2011)

Motion denoising with application to time-lapse photography. - Michael Rubinstein; Ce Liu 001; Peter Sand; Frédo Durand; William T. Freeman (CVPR, 2011)

Diffuse reflectance imaging with astronomical applications. - Samuel W. Hasinoff; Anat Levin; Philip R. Goode; William T. Freeman (ICCV, 2011)

Evaluation of image features using a photorealistic virtual world. - Biliana Kaneva; Antonio Torralba 001; William T. Freeman (ICCV, 2011)

Where computer vision needs help from computer science. - William T. Freeman (SODA, 2011)

A perfect 'match': technical perspective. - William T. Freeman (Commun. ACM, 2011)

Understanding Blind Deconvolution Algorithms. - Anat Levin; Yair Weiss; Frédo Durand; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

CG2Real: Improving the Realism of Computer Generated Images Using a Large Collection of Photographs. - Micah K. Johnson; Kevin Dale; Shai Avidan; Hanspeter Pfister; William T. Freeman; Wojciech Matusik (IEEE Trans. Vis. Comput. Graph., 2011)

Laser speckle photography for surface tampering detection. - Yichang Shih; Abe Davis; Samuel W. Hasinoff; Frédo Durand; William T. Freeman (CVPR, 2012)

Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation. - Forrester Cole; Phillip Isola; William T. Freeman; Frédo Durand; Edward H. Adelson (ECCV (3), 2012)

Patch Complexity, Finite Pixel Correlations and Optimal Denoising. - Anat Levin; Boaz Nadler; Frédo Durand; William T. Freeman (ECCV (5), 2012)

Annotation Propagation in Large Image Databases via Dense Image Correspondence. - Michael Rubinstein; Ce Liu 001; William T. Freeman (ECCV (3), 2012)

Exploiting compositionality to explore a large space of model structures. - Roger B. Grosse; Ruslan Salakhutdinov; William T. Freeman; Joshua B. Tenenbaum (UAI, 2012)

Image Restoration by Matching Gradient Distributions. - Taeg Sang Cho; Charles Lawrence Zitnick; Neel Joshi; Sing Bing Kang; Richard Szeliski; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Eulerian video magnification for revealing subtle changes in the world. - Hao-Yu Wu; Michael Rubinstein; Eugene Shih; John V. Guttag; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2012)

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

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

Shape Anchors for Data-Driven Multi-view Reconstruction. - Andrew Owens; Jianxiong Xiao; Antonio Torralba 001; William T. Freeman (ICCV, 2013)

Joint view expansion and filtering for automultiscopic 3D displays. - Piotr Didyk; Pitchaya Sitthi-amorn; William T. Freeman; Frédo Durand; Wojciech Matusik (ACM Trans. Graph., 2013)

Fabricating BRDFs at high spatial resolution using wave optics. - Anat Levin; Daniel Glasner; Ying Xiong; Frédo Durand; William T. Freeman; Wojciech Matusik; Todd E. Zickler (ACM Trans. Graph., 2013)

Data-driven hallucination of different times of day from a single outdoor photo. - Yichang Shih; Sylvain Paris; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2013)

Phase-based video motion processing. - Neal Wadhwa; Michael Rubinstein; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2013)

A Data-Driven Regularization Model for Stereo and Flow. - Donglai Wei 001; Ce Liu 001; William T. Freeman (3DV, 2014)

A Compositional Model for Low-Dimensional Image Set Representation. - Hossein Mobahi; Ce Liu 001; William T. Freeman (CVPR, 2014)

Camouflaging an Object from Many Viewpoints. - Andrew Owens; Connelly Barnes; Alex Flint; Hanumant Singh; William T. Freeman (CVPR, 2014)

Seeing the Arrow of Time. - Lyndsey C. Pickup; Zheng Pan; Donglai Wei 001; Yi-Chang Shih; Changshui Zhang; Andrew Zisserman; Bernhard Schölkopf; William T. Freeman (CVPR, 2014)

Refraction Wiggles for Measuring Fluid Depth and Velocity from Video. - Tianfan Xue; Michael Rubinstein; Neal Wadhwa; Anat Levin; Frédo Durand; William T. Freeman (ECCV (3), 2014)

Rethinking color cameras. - Ayan Chakrabarti; William T. Freeman; Todd E. Zickler (ICCP, 2014)

Riesz pyramids for fast phase-based video magnification. - Neal Wadhwa; Michael Rubinstein; Frédo Durand; William T. Freeman (ICCP, 2014)

Shape and Illumination from Shading using the Generic Viewpoint Assumption. - Daniel Zoran; Dilip Krishnan; José Bento 001; Bill Freeman (NIPS, 2014)

Accidental Pinhole and Pinspeck Cameras - Revealing the Scene Outside the Picture. - Antonio Torralba 001; William T. Freeman (Int. J. Comput. Vis., 2014)

Style transfer for headshot portraits. - Yichang Shih; Sylvain Paris; Connelly Barnes; William T. Freeman; Frédo Durand (ACM Trans. Graph., 2014)

The visual microphone: passive recovery of sound from video. - Abe Davis; Michael Rubinstein; Neal Wadhwa; Gautham J. Mysore; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2014)

Visual vibrometry: Estimating material properties from small motions in video. - Abe Davis; Katherine L. Bouman; Justin G. Chen; Michael Rubinstein; Frédo Durand; William T. Freeman (CVPR, 2015)

Best-Buddies Similarity for robust template matching. - Tali Dekel; Shaul Oron; Michael Rubinstein; Shai Avidan; William T. Freeman (CVPR, 2015)

Video magnification in presence of large motions. - Mohamed A. Elgharib; Mohamed Hefeeda; Frédo Durand; William T. Freeman (CVPR, 2015)

Reflection removal using ghosting cues. - Yichang Shih; Dilip Krishnan; Frédo Durand; William T. Freeman (CVPR, 2015)

The aperture problem for refractive motion. - Tianfan Xue; Hossein Mobahi; Frédo Durand; William T. Freeman (CVPR, 2015)

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

Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning. - Jiajun Wu 001; Ilker Yildirim; Joseph J. Lim; Bill Freeman; Joshua B. Tenenbaum (NIPS, 2015)

Understanding Intra-Class Knowledge Inside CNN. - Donglai Wei 001; Bolei Zhou; Antonio Torralba 001; William T. Freeman (CoRR, 2015)

Revealing and modifying non-local variations in a single image. - Tali Dekel; Tomer Michaeli; Michal Irani; William T. Freeman (ACM Trans. Graph., 2015)

A computational approach for obstruction-free photography. - Tianfan Xue; Michael Rubinstein; Ce Liu 001; William T. Freeman (ACM Trans. Graph., 2015)

Deviation magnification: revealing departures from ideal geometries. - Neal Wadhwa; Tali Dekel; Donglai Wei 001; Frédo Durand; William T. Freeman (ACM Trans. Graph., 2015)

Physics 101: Learning Physical Object Properties from Unlabeled Videos. - Jiajun Wu 001; Joseph J. Lim; Hongyi Zhang; Joshua B. Tenenbaum; William T. Freeman (BMVC, 2016)

A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. - Renqiao Zhang; Jiajun Wu 001; Chengkai Zhang; William T. Freeman; Joshua B. Tenenbaum (CogSci, 2016)

Computational Imaging for VLBI Image Reconstruction. - Katherine L. Bouman; Michael D. Johnson 003; Daniel Zoran; Vincent L. Fish; Sheperd S. Doeleman; William T. Freeman (CVPR, 2016)

Visually Indicated Sounds. - Andrew Owens; Phillip Isola; Josh H. McDermott; Antonio Torralba 001; Edward H. Adelson; William T. Freeman (CVPR, 2016)

Single Image 3D Interpreter Network. - Jiajun Wu 001; Tianfan Xue; Joseph J. Lim; Yuandong Tian; Joshua B. Tenenbaum; Antonio Torralba 001; William T. Freeman (ECCV (6), 2016)

Ambient Sound Provides Supervision for Visual Learning. - Andrew Owens; Jiajun Wu 001; Josh H. McDermott; William T. Freeman; Antonio Torralba 001 (ECCV (1), 2016)

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. - Jiajun Wu 001; Chengkai Zhang; Tianfan Xue; Bill Freeman; Josh Tenenbaum 001 (NIPS, 2016)

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. - Tianfan Xue; Jiajun Wu 001; Katherine L. Bouman; Bill Freeman (NIPS, 2016)

Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence. - Michael Rubinstein; Ce Liu 001; William T. Freeman (Int. J. Comput. Vis., 2016)

Guest Editorial: Special Section on CVPR 2013. - William T. Freeman; Richard Szeliski; Gregory D. Hager (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Synthesizing Normalized Faces from Facial Identity Features. - Forrester Cole; David Belanger 002; Dilip Krishnan; Aaron Sarna; Inbar Mosseri; William T. Freeman (CVPR, 2017)

On the Effectiveness of Visible Watermarks. - Tali Dekel; Michael Rubinstein; Ce Liu 001; William T. Freeman (CVPR, 2017)

Turning Corners into Cameras: Principles and Methods. - Katherine L. Bouman; Vickie Ye; Adam B. Yedidia; Frédo Durand; Gregory W. Wornell; Antonio Torralba 001; William T. Freeman (ICCV, 2017)

Generative Modeling of Audible Shapes for Object Perception. - Zhoutong Zhang; Jiajun Wu 001; Qiujia Li; Zhengjia Huang; James Traer; Josh H. McDermott; Joshua B. Tenenbaum; William T. Freeman (ICCV, 2017)

Population Based Image Imputation. - Adrian V. Dalca; Katherine L. Bouman; William T. Freeman; Natalia S. Rost; Mert R. Sabuncu; Polina Golland (IPMI, 2017)

Learning to See Physics via Visual De-animation. - Jiajun Wu 001; Erika Lu; Pushmeet Kohli; Bill Freeman; Josh Tenenbaum 001 (NIPS, 2017)

MarrNet: 3D Shape Reconstruction via 2.5D Sketches. - Jiajun Wu 001; Yifan Wang 011; Tianfan Xue; Xingyuan Sun; Bill Freeman; Josh Tenenbaum 001 (NIPS, 2017)

Shape and Material from Sound. - Zhoutong Zhang; Qiujia Li; Zhengjia Huang; Jiajun Wu 001; Josh Tenenbaum 001; Bill Freeman (NIPS, 2017)

Eulerian video magnification and analysis. - Neal Wadhwa; Hao-Yu Wu; Abe Davis; Michael Rubinstein; Eugene Shih; Gautham J. Mysore; Justin G. Chen; Oral Büyüköztürk; John V. Guttag; William T. Freeman; Frédo Durand (Commun. ACM, 2017)

Face Synthesis from Facial Identity Features. - Forrester Cole; David Belanger 002; Dilip Krishnan; Aaron Sarna; Inbar Mosseri; William T. Freeman (CoRR, 2017)

Reconstructing Video from Interferometric Measurements of Time-Varying Sources. - Katherine L. Bouman; Michael D. Johnson 003; Adrian V. Dalca; Andrew A. Chael; Freek Roelofs; Sheperd S. Doeleman; William T. Freeman (CoRR, 2017)

Smart, Sparse Contours to Represent and Edit Images. - Tali Dekel; Chuang Gan 001; Dilip Krishnan; Ce Liu 001; William T. Freeman (CoRR, 2017)

Visual Vibrometry: Estimating Material Properties from Small Motions in Video. - Abe Davis; Katherine L. Bouman; Justin G. Chen; Michael Rubinstein; Oral Büyüköztürk; Frédo Durand; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Motion microscopy for visualizing and quantifying small motions. - Neal Wadhwa; Justin G. Chen; Jonathan B. Sellon; Donglai Wei 001; Michael Rubinstein; Roozbeh Ghaffari; Dennis M. Freeman; Oral Büyüköztürk; Pai Wang 005; Sijie Sun; Sung Hoon Kang; Katia Bertoldi; et al. (Proc. Natl. Acad. Sci. USA, 2017)

Guest Editorial Special Issue on Extreme Imaging. - William T. Freeman; Andreas E. Savakis; Yoav Y. Schechner; Noah Snavely; Wolfgang Heidrich (IEEE Trans. Computational Imaging, 2017)

3DTV at home: eulerian-lagrangian stereo-to-multiview conversion. - Petr Kellnhofer; Piotr Didyk; Szu-Po Wang; Pitchaya Sitthi-amorn; William T. Freeman; Frédo Durand; Wojciech Matusik (ACM Trans. Graph., 2017)

Cognitive Load Estimation in the Wild. - Lex Fridman 001; Bryan Reimer; Bruce Mehler; William T. Freeman (CHI, 2018)

Inferring Light Fields From Shadows. - Manel Baradad; Vickie Ye; Adam B. Yedidia; Frédo Durand; William T. Freeman; Gregory W. Wornell; Antonio Torralba 001 (CVPR, 2018)

Sparse, Smart Contours to Represent and Edit Images. - Tali Dekel; Chuang Gan 001; Dilip Krishnan; Ce Liu 001; William T. Freeman (CVPR, 2018)

Unsupervised Training for 3D Morphable Model Regression. - Kyle Genova; Forrester Cole; Aaron Maschinot; Aaron Sarna; Daniel Vlasic; William T. Freeman (CVPR, 2018)

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. - Xingyuan Sun; Jiajun Wu 001; Xiuming Zhang; Zhoutong Zhang; Chengkai Zhang; Tianfan Xue; Joshua B. Tenenbaum; William T. Freeman (CVPR, 2018)

Learning and Using the Arrow of Time. - Donglai Wei 001; Joseph J. Lim; Andrew Zisserman; William T. Freeman (CVPR, 2018)

Inverting Audio-Visual Simulation for Shape and Material Perception. - Zhoutong Zhang; Jiajun Wu 001; Qiujia Li; Zhengjia Huang; Joshua B. Tenenbaum; William T. Freeman (CVPR Workshops, 2018)

Physical Primitive Decomposition. - Zhijian Liu; William T. Freeman; Joshua B. Tenenbaum; Jiajun Wu 001 (ECCV (12), 2018)

Learning-Based Video Motion Magnification. - Tae-Hyun Oh; Ronnachai Jaroensri; Changil Kim 001; Mohamed A. Elgharib; Frédo Durand; William T. Freeman; Wojciech Matusik (ECCV (4), 2018)

Learning Shape Priors for Single-View 3D Completion And Reconstruction. - Jiajun Wu 001; Chengkai Zhang; Xiuming Zhang; Zhoutong Zhang; William T. Freeman; Joshua B. Tenenbaum (ECCV (11), 2018)

Seeing Tree Structure from Vibration. - Tianfan Xue; Jiajun Wu 001; Zhoutong Zhang; Chengkai Zhang; Joshua B. Tenenbaum; William T. Freeman (ECCV (9), 2018)

3D Shape Perception from Monocular Vision, Touch, and Shape Priors. - Shaoxiong Wang; Jiajun Wu 001; Xingyuan Sun; Wenzhen Yuan 001; William T. Freeman; Joshua B. Tenenbaum; Edward H. Adelson (IROS, 2018)

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. - Felix Naser; Igor Gilitschenski; Guy Rosman; Alexander Amini; Frédo Durand; Antonio Torralba 001; Gregory W. Wornell; William T. Freeman; Sertac Karaman; Daniela Rus (ITSC, 2018)

Learning to Exploit Stability for 3D Scene Parsing. - Yilun Du; Zhijian Liu; Hector Basevi; Ales Leonardis; Bill Freeman; Josh Tenenbaum 001; Jiajun Wu 001 (NeurIPS, 2018)

Co-regularized Alignment for Unsupervised Domain Adaptation. - Abhishek Kumar 001; Prasanna Sattigeri; Kahini Wadhawan; Leonid Karlinsky; Rogério Schmidt Feris; Bill Freeman; Gregory W. Wornell (NeurIPS, 2018)

3D-Aware Scene Manipulation via Inverse Graphics. - Shunyu Yao; Tzu-Ming Harry Hsu; Jun-Yan Zhu; Jiajun Wu 001; Antonio Torralba 001; Bill Freeman; Josh Tenenbaum 001 (NeurIPS, 2018)

Learning to Reconstruct Shapes from Unseen Classes. - Xiuming Zhang; Zhoutong Zhang; Chengkai Zhang; Josh Tenenbaum 001; Bill Freeman; Jiajun Wu 001 (NeurIPS, 2018)

Visual Object Networks: Image Generation with Disentangled 3D Representations. - Jun-Yan Zhu; Zhoutong Zhang; Chengkai Zhang; Jiajun Wu 001; Antonio Torralba 001; Josh Tenenbaum 001; Bill Freeman (NeurIPS, 2018)

MoSculp: Interactive Visualization of Shape and Time. - Xiuming Zhang; Tali Dekel; Tianfan Xue; Andrew Owens; Qiurui He 001; Jiajun Wu 001; Stefanie Mueller 001; William T. Freeman (UIST, 2018)

Visual Object Networks: Image Generation with Disentangled 3D Representation. - Jun-Yan Zhu; Zhoutong Zhang; Chengkai Zhang; Jiajun Wu 001; Antonio Torralba 001; Joshua B. Tenenbaum; William T. Freeman (CoRR, 2018)

Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning. - Andrew Owens; Jiajun Wu 001; Josh H. McDermott; William T. Freeman; Antonio Torralba 001 (Int. J. Comput. Vis., 2018)

3D Interpreter Networks for Viewer-Centered Wireframe Modeling. - Jiajun Wu 001; Tianfan Xue; Joseph J. Lim; Yuandong Tian; Joshua B. Tenenbaum; Antonio Torralba 001; William T. Freeman (Int. J. Comput. Vis., 2018)

Best-Buddies Similarity - Robust Template Matching Using Mutual Nearest Neighbors. - Shaul Oron; Tali Dekel; Tianfan Xue; William T. Freeman; Shai Avidan (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements. - Katherine L. Bouman; Michael D. Johnson 003; Adrian V. Dalca; Andrew A. Chael; Freek Roelofs; Sheperd S. Doeleman; William T. Freeman (IEEE Trans. Computational Imaging, 2018)

Exploiting Occlusion in Non-Line-of-Sight Active Imaging. - Christos Thrampoulidis; Gal Shulkind; Feihu Xu; William T. Freeman; Jeffrey H. Shapiro; Antonio Torralba 001; Franco N. C. Wong; Gregory W. Wornell (IEEE Trans. Computational Imaging, 2018)

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 (ACM Trans. Graph., 2018)

Learning the Depths of Moving People by Watching Frozen People. - Zhengqi Li; Tali Dekel; Forrester Cole; Richard Tucker 001; Noah Snavely; Ce Liu 001; William T. Freeman (CVPR, 2019)

Speech2Face: Learning the Face Behind a Voice. - Tae-Hyun Oh; Tali Dekel; Changil Kim 001; Inbar Mosseri; William T. Freeman; Michael Rubinstein; Wojciech Matusik (CVPR, 2019)

Using Unknown Occluders to Recover Hidden Scenes. - Adam B. Yedidia; Manel Baradad; Christos Thrampoulidis; William T. Freeman; Gregory W. Wornell (CVPR, 2019)

Corner Occluder Computational Periscopy: Estimating a Hidden Scene from a Single Photograph. - Sheila W. Seidel; Yanting Ma; John Murray-Bruce; Charles Saunders; William T. Freeman; Christopher C. Yu; Vivek K. Goyal (ICCP, 2019)

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. - Guha Balakrishnan; Adrian V. Dalca; Amy Zhao; John V. Guttag; Frédo Durand; William T. Freeman (ICCV, 2019)

Learning Shape Templates With Structured Implicit Functions. - Kyle Genova; Forrester Cole; Daniel Vlasic; Aaron Sarna; William T. Freeman; Thomas A. Funkhouser (ICCV, 2019)

Boundless: Generative Adversarial Networks for Image Extension. - Dilip Krishnan; Piotr Teterwak; Aaron Sarna; Aaron Maschinot; Ce Liu 001; David Belanger 002; William T. Freeman (ICCV, 2019)

Program-Guided Image Manipulators. - Xiuming Zhang; Jiayuan Mao; Yikai Li; William T. Freeman; Joshua B. Tenenbaum; Jiajun Wu 001 (ICCV, 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 001 (ICLR (Poster), 2019)

Visualizing and Understanding GANs. - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Bolei Zhou; Joshua B. Tenenbaum; William T. Freeman; Antonio Torralba 001 (DGS@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 001 (ICLR (Poster), 2019)

Learning to Describe Scenes with Programs. - Yunchao Liu; Zheng Wu; Daniel Ritchie; William T. Freeman; Joshua B. Tenenbaum; Jiajun Wu 001 (ICLR (Poster), 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 001 (ICLR (Poster), 2019)

Unsupervised Discovery of Parts, Structure, and Dynamics. - Zhenjia Xu; Zhijian Liu; Chen Sun 002; Kevin Murphy 002; William T. Freeman; Joshua B. Tenenbaum; Jiajun Wu 001 (ICLR (Poster), 2019)

ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. - Yuanming Hu; Jiancheng Liu; Andrew Spielberg; Joshua B. Tenenbaum; William T. Freeman; Jiajun Wu 001; Daniela Rus; Wojciech Matusik (ICRA, 2019)

Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. - Miika Aittala; Prafull Sharma; Lukas Murmann; Adam B. Yedidia; Gregory W. Wornell; Bill Freeman; Frédo Durand (NeurIPS, 2019)

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). - David Bau; Jun-Yan Zhu; Hendrik Strobelt; Bolei Zhou; Joshua B. Tenenbaum; William T. Freeman; Antonio Torralba 001 (CoRR, 2019)

Video Enhancement with Task-Oriented Flow. - Tianfan Xue; Baian Chen; Jiajun Wu 001; Donglai Wei 001; William T. Freeman (Int. J. Comput. Vis., 2019)

Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. - Tianfan Xue; Jiajun Wu 001; Katherine L. Bouman; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Medical Image Imputation From Image Collections. - Adrian V. Dalca; Katherine L. Bouman; William T. Freeman; Natalia S. Rost; Mert R. Sabuncu; Polina Golland (IEEE Trans. Medical Imaging, 2019)

Large-Scale Intelligent Microservices. - Mark Hamilton; Nick Gonsalves; Christina Lee; Anand Raman; Brendan Walsh; Siddhartha Prasad; Dalitso Banda; Lucy Zhang; Lei Zhang 001; William T. Freeman (IEEE BigData, 2020)

SpeedNet: Learning the Speediness in Videos. - Sagie Benaim; Ariel Ephrat; Oran Lang; Inbar Mosseri; William T. Freeman; Michael Rubinstein; Michal Irani; Tali Dekel (CVPR, 2020)

Perspective Plane Program Induction From a Single Image. - Yikai Li; Jiayuan Mao; Xiuming Zhang; William T. Freeman; Joshua B. Tenenbaum; Jiajun Wu 001 (CVPR, 2020)

Semantic Pyramid for Image Generation. - Assaf Shocher; Yossi Gandelsman; Inbar Mosseri; Michal Yarom; Michal Irani; William T. Freeman; Tali Dekel (CVPR, 2020)

GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models. - Hongyi Xu; Eduard Gabriel Bazavan; Andrei Zanfir; William T. Freeman; Rahul Sukthankar; Cristian Sminchisescu (CVPR, 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 (ECCV (6), 2020)

Deep Audio Priors Emerge From Harmonic Convolutional Networks. - Zhoutong Zhang; Yunyun Wang; Chuang Gan 001; Jiajun Wu 001; Joshua B. Tenenbaum; Antonio Torralba 001; William T. Freeman (ICLR, 2020)

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 001; Chris Hoder; William T. Freeman (NeurIPS (Competition and Demos), 2020)

Multi-Plane Program Induction with 3D Box Priors. - Yikai Li; Jiayuan Mao; Xiuming Zhang; Bill Freeman; Josh Tenenbaum 001; Noah Snavely; Jiajun Wu 001 (NeurIPS, 2020)

It Is Likely That Your Loss Should be a Likelihood. - Mark Hamilton; Evan Shelhamer; William T. Freeman (CoRR, 2020)

Conditional Image Retrieval. - Mark Hamilton; Stephanie Fu; William T. Freeman; Mindren Lu (CoRR, 2020)

Neural Light Transport for Relighting and View Synthesis. - Xiuming Zhang; Sean Ryan Fanello; Yun-Ta Tsai; Tiancheng Sun; Tianfan Xue; Rohit Pandey; Sergio Orts-Escolano; Philip Davidson; Christoph Rhemann; Paul E. Debevec; Jonathan T. Barron; Ravi Ramamoorthi; et al. (CoRR, 2020)

Layered neural rendering for retiming people in video. - Erika Lu; Forrester Cole; Tali Dekel; Weidi Xie; Andrew Zisserman; David Salesin; William T. Freeman; Michael Rubinstein (ACM Trans. Graph., 2020)

Omnimatte: Associating Objects and Their Effects in Video. - Erika Lu; Forrester Cole; Tali Dekel; Andrew Zisserman; William T. Freeman; Michael Rubinstein (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 001 (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 001 (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)

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. - Varun Jampani; Huiwen Chang; Kyle Sargent; Abhishek Kar; Richard Tucker 001; Michael Krainin; Dominik Kaeser; William T. Freeman; David Salesin; Brian Curless; Ce Liu 001 (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 (ICCV, 2021)

What You Can Learn by Staring at a Blank Wall. - Prafull Sharma; Miika Aittala; Yoav Y. Schechner; Antonio Torralba 001; Gregory W. Wornell; William T. Freeman; Frédo Durand (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)

Toward Automatic Interpretation of 3D Plots. - Laura E. Brandt; William T. Freeman (ICDAR (2), 2021)

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. - Vincent Sitzmann; Semon Rezchikov; Bill Freeman; Josh Tenenbaum 001; Frédo Durand (NeurIPS, 2021)

Model-Agnostic Explainability for Visual Search. - Mark Hamilton; Scott M. Lundberg; Lei Zhang 001; Stephanie Fu; William T. Freeman (CoRR, 2021)

HSPACE: Synthetic Parametric Humans Animated in Complex Environments. - Eduard Gabriel Bazavan; Andrei Zanfir; Mihai Zanfir; William T. Freeman; Rahul Sukthankar; Cristian Sminchisescu (CoRR, 2021)

MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. - Zhengqi Li; Tali Dekel; Forrester Cole; Richard Tucker 001; Noah Snavely; Ce Liu 001; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Two-Dimensional Non-Line-of-Sight Scene Estimation From a Single Edge Occluder. - Sheila W. Seidel; John Murray-Bruce; Yanting Ma; Christopher C. Yu; William T. Freeman; Vivek K. Goyal (IEEE Trans. Computational Imaging, 2021)

QuanTaichi: a compiler for quantized simulations. - Yuanming Hu; Jiafeng Liu; Xuanda Yang; Mingkuan Xu; Ye Kuang; Weiwei Xu; Qiang Dai; William T. Freeman; Frédo Durand (ACM Trans. Graph., 2021)

Consistent depth of moving objects in video. - Zhoutong Zhang; Forrester Cole; Richard Tucker 001; William T. Freeman; Tali Dekel (ACM Trans. Graph., 2021)

NeRFactor: neural factorization of shape and reflectance under an unknown illumination. - Xiuming Zhang; Pratul P. Srinivasan; Boyang Deng; Paul E. Debevec; William T. Freeman; Jonathan T. Barron (ACM Trans. Graph., 2021)

MaskGIT: Masked Generative Image Transformer. - Huiwen Chang; Han Zhang 010; Lu Jiang 004; Ce Liu 001; William T. Freeman (CVPR, 2022)

Disentangling Architecture and Training for Optical Flow. - Deqing Sun; Charles Herrmann; Fitsum A. Reda; Michael Rubinstein; David J. Fleet; William T. Freeman (ECCV (22), 2022)

Structure and Motion from Casual Videos. - Zhoutong Zhang; Forrester Cole; Zhengqi Li; Michael Rubinstein; Noah Snavely; William T. Freeman (ECCV (33), 2022)

Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning. - Mark Hamilton; Scott M. Lundberg; Stephanie Fu; Lei Zhang 001; William T. Freeman (ICLR, 2022)

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

Associating Objects and Their Effects in Video through Coordination Games. - Erika Lu; Forrester Cole; Weidi Xie; Tali Dekel; Bill Freeman; Andrew Zisserman; Michael Rubinstein (NeurIPS, 2022)

What Makes RAFT Better Than PWC-Net? - Deqing Sun; Charles Herrmann; Fitsum A. Reda; Michael Rubinstein; David J. Fleet; William T. Freeman (CoRR, 2022)

MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. - Miriam Cha; Kuan Wei Huang; Morgan Schmidt; Gregory Angelides; Mark Hamilton; Sam Goldberg; Armando Cabrera; Phillip Isola; Taylor Perron; Bill Freeman; Yen-Chen Lin; Brandon Swenson; et al. (CoRR, 2022)

Developing a Series of AI Challenges for the United States Department of the Air Force. - Vijay Gadepally; Gregory Angelides; Andrei Barbu; Andrew Bowne; Laura J. Brattain; Tamara Broderick; Armando Cabrera; Glenn Carl; Ronisha Carter; Miriam Cha; Emilie Cowen; Jesse Cummings; et al. (CoRR, 2022)

Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. - Prafull Sharma; Ayush Tewari; Yilun Du; Sergey Zakharov; Rares Ambrus; Adrien Gaidon; William T. Freeman; Frédo Durand; Joshua B. Tenenbaum; Vincent Sitzmann (CoRR, 2022)

Can Shadows Reveal Biometric Information? - Safa C. Medin; Amir Weiss; Frédo Durand; William T. Freeman; Gregory W. Wornell (CoRR, 2022)

MetaCLUE: Towards Comprehensive Visual Metaphors Research. - Arjun R. Akula; Brendan Driscoll; Pradyumna Narayana; Soravit Changpinyo; Zhiwei Jia; Suyash Damle; Garima Pruthi; Sugato Basu; Leonidas J. Guibas; William T. Freeman; Yuanzhen Li; Varun Jampani (CVPR, 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 (Gaze Meets ML, 2023)

3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Radiance Fields. - Brandon Y. Feng; Hadi Alzayer; Michael Rubinstein; William T. Freeman; Jia-Bin Huang 001 (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 (ICCV, 2023)

Exploring perceptual straightness in learned visual representations. - Anne Harrington; Vasha DuTell; Ayush Tewari; Mark Hamilton; Simon Stent; Ruth Rosenholtz; William T. Freeman (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; Frédo Durand; Joshua B. Tenenbaum; Vincent Sitzmann (ICLR, 2023)

Muse: Text-To-Image Generation via Masked Generative Transformers. - Huiwen Chang; Han Zhang 010; Jarred Barber; Aaron Maschinot; José Lezama; Lu Jiang 004; Ming-Hsuan Yang 001; Kevin Patrick Murphy; William T. Freeman; Michael Rubinstein; Yuanzhen Li; Dilip Krishnan (ICML, 2023)

Large-Scale Automatic Audiobook Creation. - Brendan Walsh; Mark Hamilton; Greg Newby; Xi Wang 016; Serena Ruan; Sheng Zhao; Lei He 005; Shaofei Zhang; Eric Dettinger; William T. Freeman; Markus Weimer (INTERSPEECH, 2023)

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. - Ayush Tewari; Tianwei Yin; George Cazenavette; Semon Rezchikov; Josh Tenenbaum 001; Frédo Durand; Bill Freeman; Vincent Sitzmann (NeurIPS, 2023)

Can Shadows Reveal Biometric Informationƒ. - Safa C. Medin; Amir Weiss; Frédo Durand; William T. Freeman; Gregory W. Wornell (WACV, 2023)

MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge. - Miriam Cha; Gregory Angelides; Mark Hamilton; Andy Soszynski; Brandon Swenson; Nathaniel Maidel; Phillip Isola; Taylor Perron; Bill Freeman (CoRR, 2023)

Background Prompting for Improved Object Depth. - Manel Baradad; Yuanzhen Li; Forrester Cole; Michael Rubinstein; Antonio Torralba 001; William T. Freeman; Varun Jampani (CoRR, 2023)

Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes. - Nishad Gothoskar; Matin Ghavami; Eric Li; Aidan Curtis; Michael Noseworthy; Karen Chung; Brian Patton; William T. Freeman; Joshua B. Tenenbaum; Mirko Klukas; Vikash K. Mansinghka (CoRR, 2023)

Materialistic: Selecting Similar Materials in Images. - Prafull Sharma; Julien Philip; Michaël Gharbi; Bill Freeman; Frédo Durand; Valentin Deschaintre (ACM Trans. Graph., 2023)

Privacy Dual Imaging. - Yang Liu 146; Gregory W. Wornell; William T. Freeman; Frédo Durand (Zenodo, 2023)

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)

Alchemist: Parametric Control of Material Properties with Diffusion Models. - Prafull Sharma; Varun Jampani; Yuanzhen Li; Xuhui Jia; Dmitry Lagun; Frédo Durand; Bill Freeman; Mark J. Matthews (CVPR, 2024)

One-Step Diffusion with Distribution Matching Distillation. - Tianwei Yin; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Frédo Durand; William T. Freeman; Taesung Park (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 001; Charles Herrmann (CVPR, 2024)

Seeing Faces in Things: A Model and Dataset for Pareidolia. - Mark Hamilton; Simon Stent; Vasha DuTell; Anne Harrington; Jennifer Corbett; Ruth Rosenholtz; William T. Freeman (ECCV (65), 2024)

PhysDreamer: 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 001; William T. Freeman (ECCV (2), 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 (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)

Improved Distribution Matching Distillation for Fast Image Synthesis. - Tianwei Yin; Michaël Gharbi; Taesung Park; Richard Zhang 001; Eli Shechtman; Frédo Durand; Bill Freeman (NeurIPS, 2024)

Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors. - Berthy T. Feng; Katherine L. Bouman; William T. Freeman (CoRR, 2024)

From Slow Bidirectional to Fast Causal Video Generators. - Tianwei Yin; Qiang Zhang; Richard Zhang 001; William T. Freeman; Frédo Durand; Eli Shechtman; Xun Huang (CoRR, 2024)

CamCtrl3D: Single-Image Scene Exploration with Precise 3D Camera Control. - Stefan Popov; Amit Raj; Michael Krainin; Yuanzhen Li; William T. Freeman; Michael Rubinstein (3DV, 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 001; Ali Farhadi; Wei-Chiu Ma (CVPR, 2025)

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders. - Ziqi Pang; Tianyuan Zhang; Fujun Luan; Yunze Man; Hao Tan 002; Kai Zhang 045; William T. Freeman; Yu-Xiong Wang (CVPR, 2025)

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models. - Tianwei Yin; Qiang Zhang; Richard Zhang 001; William T. Freeman; Frédo Durand; Eli Shechtman; Xun Huang (CVPR, 2025)

WonderWorld: Interactive 3D Scene Generation from a Single Image. - Hong-Xing Yu; Haoyi Duan; Charles Herrmann; William T. Freeman; Jiajun Wu 001 (CVPR, 2025)

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

Adaptive Length Image Tokenization via Recurrent Allocation. - Shivam Duggal; Phillip Isola; Antonio Torralba 001; William T. Freeman (ICLR, 2025)

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models. - Tianyuan Zhang; Zhengfei Kuang; Haian Jin; Zexiang Xu; Sai Bi; Hao Tan 002; He Zhang 004; Yiwei Hu; Milos Hasan; William T. Freeman; Kai Zhang 045; Fujun Luan (ICLR, 2025)

Exoplanet Imaging via Differentiable Rendering. - Brandon Y. Feng; Rodrigo Ferrer Chávez; Aviad Levis; Jason Jinfei Wang; Katherine L. Bouman; William T. Freeman (IEEE Trans. Computational Imaging, 2025)

Exoplanet Detection via Differentiable Rendering. - Brandon Y. Feng; Rodrigo Ferrer Chávez; Aviad Levis; Jason Jinfei Wang; Katherine L. Bouman; William T. Freeman (CoRR, 2025)

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing. - Madeline Anderson; Miriam Cha; William T. Freeman; Taylor Perron; Nathaniel Maidel; Kerri Cahoy (CoRR, 2025)

Denoising Hamiltonian Network for Physical Reasoning. - Congyue Deng; Brandon Y. Feng; Cecilia Garraffo; Alan Garbarz; Robin Walters 001; William T. Freeman; Leonidas J. Guibas; Kaiming He (CoRR, 2025)

FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention. - Guangxuan Xiao; Tianwei Yin; William T. Freeman; Frédo Durand; Song Han 003 (Int. J. Comput. Vis., 2025)

Test-Time Training Done Right. - Tianyuan Zhang; Sai Bi; Yicong Hong; Kai Zhang 045; Fujun Luan; Songlin Yang; Kalyan Sunkavalli; William T. Freeman; Hao Tan 002 (CoRR, 2025)

Graphics4Science: Computer Graphics for Scientific Impacts. - Peter Yichen Chen; Minghao Guo; Hanspeter Pfister; Ming Lin; William T. Freeman; Qixing Huang; Han-Wei Shen; Wojciech Matusik (CoRR, 2025)

Single-pass Adaptive Image Tokenization for Minimum Program Search. - Shivam Duggal; Sanghyun Byun; William T. Freeman; Antonio Torralba 001; Phillip Isola (CoRR, 2025)