A System for Finding Changes in Colour. - David A. Forsyth (Alvey Vision Conference, 1987)

A Novel Approach To Colour Constancy. - David A. Forsyth (ICCV, 1988)

Colour constancy and its applications in machine vision. - David A. Forsyth (1988)

Mutual illumination. - David A. Forsyth; Andrew Zisserman (CVPR, 1989)

Relative motion and pose from invariants. - Andrew Zisserman; Constantinos Marinos; David A. Forsyth; Joseph L. Mundy; Charlie Rothwell (BMVC, 1990)

Invariance-a new framework for vision. - David A. Forsyth; Joseph L. Mundy; Andrew Zisserman; Christopher M. Brown (ICCV, 1990)

A novel algorithm for color constancy. - David A. Forsyth (Int. J. Comput. Vis., 1990)

Shape from shading in the light of mutual illumination. - David A. Forsyth; Andrew Zisserman (Image Vis. Comput., 1990)

Using Projective Invariants for Constant Time Library Indexing in Model Based Vision. - Charlie Rothwell; Andrew Zisserman; David A. Forsyth; Joseph L. Mundy (BMVC, 1991)

Projectively invariant representations using implicit algebraic curves. - David A. Forsyth; Joseph L. Mundy; Andrew Zisserman; Christopher M. Brown (Image Vis. Comput., 1991)

Invariant Descriptors for 3D Object Recognition and Pose. - David A. Forsyth; Joseph L. Mundy; Andrew Zisserman; Chris Coelho; Aaron Heller; Charlie Rothwell (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

Reflections on Shading. - David A. Forsyth; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

Efficient model library access by projectively invariant indexing functions. - Charlie Rothwell; Andrew Zisserman; Joe L. Mundy; David A. Forsyth (CVPR, 1992)

Recognising rotationally symmetric surfaces from their outlines. - David A. Forsyth; Joseph L. Mundy; Andrew Zisserman; Charlie Rothwell (ECCV, 1992)

Canonical Frames for Planar Object Recognition. - Charlie Rothwell; Andrew Zisserman; David A. Forsyth; Joseph L. Mundy (ECCV, 1992)

The Outline of an Algebraic Surface Yields the Surface. - David A. Forsyth (IMA Conference on the Mathematics of Surfaces, 1992)

Transformational invariance - a primer. - David A. Forsyth; Joseph L. Mundy; Andrew Zisserman (Image Vis. Comput., 1992)

Relative motion and pose from arbitrary plane curves. - Charlie Rothwell; Andrew Zisserman; Constantinos Marinos; David A. Forsyth; Joseph L. Mundy (Image Vis. Comput., 1992)

Representations of 3D Objects that Incorporate Surface Markings. - David A. Forsyth; Charlie Rothwell (Applications of Invariance in Computer Vision, 1993)

Introduction and Chapter Summary. - Joseph L. Mundy; Andrew Zisserman; David A. Forsyth (Applications of Invariance in Computer Vision, 1993)

Efficient recognition of rotationally symmetric surfaces and straight homogeneous generalized cylinders. - Jane Liu; Joe L. Mundy; David A. Forsyth; Andrew Zisserman; Charlie Rothwell (CVPR, 1993)

Extracting projective structure from single perspective views of 3D point sets. - Charlie Rothwell; David A. Forsyth; Andrew Zisserman; Joseph L. Mundy (ICCV, 1993)

Using global consistency to recognise Euclidean objects with an uncalibrated camera. - David A. Forsyth; Joe L. Mundy; Andrew Zisserman; Charlie Rothwell (CVPR, 1994)

Object representation for object recognition. - Jean Ponce; Ruzena Bajcsy; Dimitris N. Metaxas; Thomas O. Binford; David A. Forsyth; Martial Hebert; Katsushi Ikeuchi; Avinash C. Kak; Linda G. Shapiro; Stan Sclaroff; Alex Pentland; George C. Stockman (CVPR, 1994)

Distinctive Representations for the Recognition of Curved Surfaces Using Outlines and Markings. - David A. Forsyth; Andrew Zisserman; Jitendra Malik (Object Representation in Computer Vision, 1994)

MORSE: An Architecture for 3D Object Recognition Based on Invariants. - Joseph L. Mundy; Rupert W. Curwen; Jane Liu; Charlie Rothwell; Andrew Zisserman; David A. Forsyth (ACCV, 1995)

Class-Based Grouping in Perspective Images. - Andrew Zisserman; Joseph L. Mundy; David A. Forsyth; Jane Liu; Nic Pillow; Charlie Rothwell; Sven Utcke (ICCV, 1995)

3D Object Recognition Using Invariance. - Andrew Zisserman; David A. Forsyth; Joseph L. Mundy; Charlie Rothwell; Jane Liu; Nic Pillow (Artif. Intell., 1995)

Planar object recognition using projective shape representation. - Charlie Rothwell; Andrew Zisserman; David A. Forsyth; Joseph L. Mundy (Int. J. Comput. Vis., 1995)

Finding Pictures of Objects in Large Collections of Images. - David A. Forsyth; Jitendra Malik; Thomas K. Leung; Christoph Bregler; Chad Carson; Hayit Greenspan; Margaret M. Fleck (Data Processing Clinic, 1996)

Finding Naked People. - Margaret M. Fleck; David A. Forsyth; Christoph Bregler (ECCV (2), 1996)

Finding Pictures of Objects in Large Collections of Images. - David A. Forsyth; Jitendra Malik; Margaret M. Fleck; Hayit Greenspan; Thomas K. Leung; Serge J. Belongie; Chad Carson; Christoph Bregler (Object Representation in Computer Vision, 1996)

Finding objects in image databases by grouping. - Jitendra Malik; David A. Forsyth; Margaret M. Fleck; Hayit Greenspan; Thomas K. Leung; Chad Carson; Serge J. Belongie; Christoph Bregler (ICIP (2), 1996)

Identifying nude pictures. - David A. Forsyth; Margaret M. Fleck (WACV, 1996)

Recognizing algebraic surfaces from their outlines. - David A. Forsyth (Int. J. Comput. Vis., 1996)

Body plans. - David A. Forsyth; Margaret M. Fleck (CVPR, 1997)

Finding People and Animals by Guided Assembly. - David A. Forsyth; Margaret M. Fleck (ICIP (3), 1997)

View-Dependent Culling of Dynamic Systems in Virtual Environments. - Stephen Chenney; David A. Forsyth (SI3D, 1997)

Shape Representations from Shading Primitives. - John A. Haddon; David A. Forsyth (ECCV (2), 1998)

Shading Primitives: Finding Folds and Shallow Grooves. - John A. Haddon; David A. Forsyth (ICCV, 1998)

Learning to Find Pictures of People. - Sergey Ioffe; David A. Forsyth (NIPS, 1998)

Efficient Dynamics Modeling for VRML and Java. - Stephen Chenney; Jeffrey Ichnowski; David A. Forsyth (VRML, 1998)

Sampling, Resampling and Colour Constancy. - David A. Forsyth (CVPR, 1999)

Bayesian Structure from Motion. - David A. Forsyth; Sergey Ioffe; John A. Haddon (ICCV, 1999)

Finding People by Sampling. - Sergey Ioffe; David A. Forsyth (ICCV, 1999)

An Empirical-Statistical Agenda for Recognition. - David A. Forsyth (Shape, Contour and Grouping in Computer Vision, 1999)

Finding Objects by Grouping Primitives. - David A. Forsyth; John A. Haddon; Sergey Ioffe (Shape, Contour and Grouping in Computer Vision, 1999)

Introduction. - David A. Forsyth; Joseph L. Mundy (Shape, Contour and Grouping in Computer Vision, 1999)

Interactive ray tracing with the visibility complex. - Franklin S. Cho; David A. Forsyth (Comput. Graph., 1999)

Dynamics Modeling and Culling. - Stephen Chenney; Jeffrey Ichnowski; David A. Forsyth (IEEE Computer Graphics and Applications, 1999)

Automatic Detection of Human Nudes. - David A. Forsyth; Margaret M. Fleck (Int. J. Comput. Vis., 1999)

Computer Vision Tools for Finding Images and Video Sequences. - David A. Forsyth (Libr. Trends, 1999)

How Does CONDENSATION Behave with a Finite Number of Samples? - Oliver D. King; David A. Forsyth (ECCV (1), 2000)

Sampling plausible solutions to multi-body constraint problems. - Stephen Chenney; David A. Forsyth (SIGGRAPH, 2000)

Clustering Art. - Kobus Barnard; Pinar Duygulu; David A. Forsyth (CVPR (2), 2001)

Mixtures of Trees for Object Recognition. - Sergey Ioffe; David A. Forsyth (CVPR (2), 2001)

Proxy Simulations for Efficient Dynamics. - Stephen Chenney; Okan Arikan; David A. Forsyth (Eurographics (Short Presentations), 2001)

Learning the Semantics of Words and Pictures. - Kobus Barnard; David A. Forsyth (ICCV, 2001)

Shape from Texture and Integrability. - David A. Forsyth (ICCV, 2001)

Noise in Bilinear Problems. - John A. Haddon; David A. Forsyth (ICCV, 2001)

Human Tracking with Mixtures of Trees. - Sergey Ioffe; David A. Forsyth (ICCV, 2001)

Exploiting image semantics for picture libraries. - Kobus Barnard; David A. Forsyth (JCDL, 2001)

The Joy of Sampling. - David A. Forsyth; John A. Haddon; Sergey Ioffe (Int. J. Comput. Vis., 2001)

Probabilistic Methods for Finding People. - Sergey Ioffe; David A. Forsyth (Int. J. Comput. Vis., 2001)

Modeling the statistics of image features and associated text. - Kobus Barnard; Pinar Duygulu; David A. Forsyth (Document Recognition and Retrieval, 2002)

Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary. - Pinar Duygulu; Kobus Barnard; João F. G. de Freitas; David A. Forsyth (ECCV (4), 2002)

Shape from Texture without Boundaries. - David A. Forsyth (ECCV (3), 2002)

Improved Integration for Cloth Simulation. - David L. Parks; David A. Forsyth (Eurographics (Short Presentations), 2002)

Benchmarks for storage and retrieval in multimedia databases. - David A. Forsyth (Storage and Retrieval for Media Databases, 2002)

Interactive motion generation from examples. - Okan Arikan; David A. Forsyth (ACM Trans. Graph., 2002)

The Effects of Segmentation and Feature Choice in a Translation Model of Object Recognition. - Kobus Barnard; Pinar Duygulu; Raghavendra Guru; Prasad Gabbur; David A. Forsyth (CVPR (2), 2003)

Finding and Tracking People from the Bottom Up. - Deva Ramanan; David A. Forsyth (CVPR (2), 2003)

Using Temporal Coherence to Build Models of Animals. - Deva Ramanan; David A. Forsyth (ICCV, 2003)

Automatic Annotation of Everyday Movements. - Deva Ramanan; David A. Forsyth (NIPS, 2003)

Matching Words and Pictures. - Kobus Barnard; Pinar Duygulu; David A. Forsyth; Nando de Freitas; David M. Blei; Michael I. Jordan (J. Mach. Learn. Res., 2003)

Motion synthesis from annotations. - Okan Arikan; David A. Forsyth; James F. O'Brien (ACM Trans. Graph., 2003)

Names and Faces in the News. - Tamara L. Berg; Alexander C. Berg; Jaety Edwards; Michael Maire; Ryan White; Yee Whye Teh; Erik G. Learned-Miller; David A. Forsyth (CVPR (2), 2004)

Recovering Shape and Irradiance Maps from Rich Dense Texton Fields. - Anthony Lobay; David A. Forsyth (CVPR (1), 2004)

Towards auto-documentary: tracking the evolution of news stories. - Pinar Duygulu; Jia-Yu Pan; David A. Forsyth (ACM Multimedia, 2004)

Whos In the Picture. - Tamara L. Berg; Alexander C. Berg; Jaety Edwards; David A. Forsyth (NIPS, 2004)

Making Latin Manuscripts Searchable using gHMMs. - Jaety Edwards; Yee Whye Teh; David A. Forsyth; Roger Bock; Michael Maire; Grace Vesom (NIPS, 2004)

Enriching a motion collection by transplanting limbs. - Leslie Ikemoto; David A. Forsyth (Symposium on Computer Animation, 2004)

Radiance caching and local geometry correction. - Okan Arikan; David A. Forsyth; James F. O'Brien (SIGGRAPH Sketches, 2004)

Skeletal parameter estimation from optical motion capture data. - Adam G. Kirk; James F. O'Brien; David A. Forsyth (SIGGRAPH Sketches, 2004)

Looking at People. - David A. Forsyth (CRV, 2005)

Finding Glass. - Kenton McHenry; Jean Ponce; David A. Forsyth (CVPR (2), 2005)

Detecting, Localizing and Recovering Kinematics of Textured Animals. - Deva Ramanan; David A. Forsyth; Kobus Barnard (CVPR (2), 2005)

Strike a Pose: Tracking People by Finding Stylized Poses. - Deva Ramanan; David A. Forsyth; Andrew Zisserman (CVPR (1), 2005)

Tracking People and Recognizing Their Activities. - Deva Ramanan; David A. Forsyth; Andrew Zisserman (CVPR (2), 2005)

Searching for Character Models. - Jaety Edwards; David A. Forsyth (NIPS, 2005)

Efficient Unsupervised Learning for Localization and Detection in Object Categories. - Nicolas Loeff; Himanshu Arora; Alexander Sorokin; David A. Forsyth (NIPS, 2005)

Pushing people around. - Okan Arikan; David A. Forsyth; James F. O'Brien (Symposium on Computer Animation, 2005)

Learning to move autonomously in a hostile world. - Leslie Ikemoto; Okan Arikan; David A. Forsyth (SIGGRAPH Sketches, 2005)

Cloth capture. - Ryan White; Anthony Lobay; David A. Forsyth (SIGGRAPH Sketches, 2005)

Learning the Behavior of Users in a Public Space through Video Tracking. - Wei Yan; David A. Forsyth (WACV/MOTION, 2005)

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis. - David A. Forsyth; Okan Arikan; Leslie Ikemoto; James F. O'Brien; Deva Ramanan (Found. Trends Comput. Graph. Vis., 2005)

Fast and detailed approximate global illumination by irradiance decomposition. - Okan Arikan; David A. Forsyth; James F. O'Brien (ACM Trans. Graph., 2005)

Discriminating Image Senses by Clustering with Multimodal Features. - Nicolas Loeff; Cecilia Ovesdotter Alm; David A. Forsyth (ACL, 2006)

Translating Images to Words for Recognizing Objects in Large Image and Video Collections. - Pinar Duygulu; Muhammet Bastan; David A. Forsyth (Toward Category-Level Object Recognition, 2006)

Dataset Issues in Object Recognition. - Jean Ponce; Tamara L. Berg; Mark Everingham; David A. Forsyth; Martial Hebert; Svetlana Lazebnik; Marcin Marszalek; Cordelia Schmid; Bryan C. Russell; Antonio Torralba 001; Christopher K. I. Williams; Jianguo Zhang 001; et al. (Toward Category-Level Object Recognition, 2006)

Animals on the Web. - Tamara L. Berg; David A. Forsyth (CVPR (2), 2006)

Searching Off-line Arabic Documents. - Jim Chan; Celal Ziftci; David A. Forsyth (CVPR (2), 2006)

Aligning ASL for Statistical Translation Using a Discriminative Word Model. - Ali Farhadi; David A. Forsyth (CVPR (2), 2006)

Combining Cues: Shape from Shading and Texture. - Ryan White; David A. Forsyth (CVPR (2), 2006)

Retexturing Single Views Using Texture and Shading. - Ryan White; David A. Forsyth (ECCV (4), 2006)

Knowing when to put your foot down. - Leslie Ikemoto; Okan Arikan; David A. Forsyth (SI3D, 2006)

Quick transitions using multi-way blends. - Leslie Ikemoto; Okan Arikan; David A. Forsyth (SIGGRAPH Sketches, 2006)

A generic database and spatial interface for the application of hydrological and water resource models. - Denis A. Hughes; David A. Forsyth (Comput. Geosci., 2006)

Shape from Texture without Boundaries. - Anthony Lobay; David A. Forsyth (Int. J. Comput. Vis., 2006)

Building Models of Animals from Video. - Deva Ramanan; David A. Forsyth; Kobus Barnard (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Unsupervised Segmentation of Objects using Efficient Learning. - Himanshu Arora; Nicolas Loeff; David A. Forsyth; Narendra Ahuja (CVPR, 2007)

Transfer Learning in Sign language. - Ali Farhadi; David A. Forsyth; Ryan White (CVPR, 2007)

Searching Video for Complex Activities with Finite State Models. - Nazli Ikizler; David A. Forsyth (CVPR, 2007)

Configuration Estimates Improve Pedestrian Finding. - Duan Tran; David A. Forsyth (NIPS, 2007)

Quick transitions with cached multi-way blends. - Leslie Ikemoto; Okan Arikan; David A. Forsyth (SI3D, 2007)

Data driven cloth animation. - Ryan White; Keenan Crane; David A. Forsyth (SIGGRAPH Sketches, 2007)

Tracking People by Learning Their Appearance. - Deva Ramanan; David A. Forsyth; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Capturing and animating occluded cloth. - Ryan White; Keenan Crane; David A. Forsyth (ACM Trans. Graph., 2007)

Utility data annotation with Amazon Mechanical Turk. - Alexander Sorokin; David A. Forsyth (CVPR Workshops, 2008)

Object image retrieval by exploiting online knowledge resources. - Gang Wang 012; David A. Forsyth (CVPR, 2008)

ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning. - Nicolas Loeff; David A. Forsyth; Deepak Ramachandran (ICML, 2008)

Searching for Complex Human Activities with No Visual Examples. - Nazli Ikizler; David A. Forsyth (Int. J. Comput. Vis., 2008)

Foreword. - David A. Forsyth (Multi-Camera Networks, 2009)

Describing objects by their attributes. - Ali Farhadi; Ian Endres; Derek Hoiem; David A. Forsyth (CVPR, 2009)

Building text features for object image classification. - Gang Wang 012; Derek Hoiem; David A. Forsyth (CVPR, 2009)

A latent model of discriminative aspect. - Ali Farhadi; Mostafa Kamali Tabrizi; Ian Endres; David A. Forsyth (ICCV, 2009)

Recovering the spatial layout of cluttered rooms. - Varsha Hedau; Derek Hoiem; David A. Forsyth (ICCV, 2009)

Unlabeled data improvesword prediction. - Nicolas Loeff; Ali Farhadi; Ian Endres; David A. Forsyth (ICCV, 2009)

Joint learning of visual attributes, object classes and visual saliency. - Gang Wang 012; David A. Forsyth (ICCV, 2009)

Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines. - Gang Wang 012; Derek Hoiem; David A. Forsyth (ICCV, 2009)

A lightness recovery algorithm for the multispectral acquisition of frescoed environments. - Anna Paviotti; David A. Forsyth (ICCV Workshops, 2009)

Lightness recovery for pictorial surfaces. - Anna Paviotti; David A. Forsyth (ICCV Workshops, 2009)

Generalizing motion edits with Gaussian processes. - Leslie Ikemoto; Okan Arikan; David A. Forsyth (ACM Trans. Graph., 2009)

The benefits and challenges of collecting richer object annotations. - Ian Endres; Ali Farhadi; Derek Hoiem; David A. Forsyth (CVPR Workshops, 2010)

Comparative object similarity for improved recognition with few or no examples. - Gang Wang 012; David A. Forsyth; Derek Hoiem (CVPR, 2010)

Every Picture Tells a Story: Generating Sentences from Images. - Ali Farhadi; Seyyed Mohammad Mohsen Hejrati; Mohammad Amin Sadeghi; Peter Young 001; Cyrus Rashtchian; Julia Hockenmaier; David A. Forsyth (ECCV (4), 2010)

Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry. - Varsha Hedau; Derek Hoiem; David A. Forsyth (ECCV (6), 2010)

Improved Human Parsing with a Full Relational Model. - Duan Tran; David A. Forsyth (ECCV (4), 2010)

Seeing People in Social Context: Recognizing People and Social Relationships. - Gang Wang 012; Andrew C. Gallagher; Jiebo Luo 001; David A. Forsyth (ECCV (5), 2010)

It's All About the Data. - Tamara L. Berg; Alexander Sorokin; Gang Wang 012; David A. Forsyth; Derek Hoiem; Ian Endres; Ali Farhadi (Proc. IEEE, 2010)

Still looking at people. - David A. Forsyth (ICMI, 2011)

Variable-Source Shading Analysis. - David A. Forsyth (Int. J. Comput. Vis., 2011)

Lightness Recovery for Pictorial Surfaces. - Anna Paviotti; David A. Forsyth; Guido M. Cortelazzo (Int. J. Comput. Vis., 2011)

Rendering synthetic objects into legacy photographs. - Kevin Karsch; Varsha Hedau; David A. Forsyth; Derek Hoiem (ACM Trans. Graph., 2011)

Computer Vision - A Modern Approach, Second Edition. - David A. Forsyth; Jean Ponce (Pitman, 2012)

Recovering free space of indoor scenes from a single image. - Varsha Hedau; Derek Hoiem; David A. Forsyth (CVPR, 2012)

Building a dictionary of image fragments. - Zicheng Liao; Ali Farhadi; Yang Wang 003; Ian Endres; David A. Forsyth (CVPR, 2012)

Attribute Discovery via Predictable Discriminative Binary Codes. - Mohammad Rastegari; Ali Farhadi; David A. Forsyth (ECCV (6), 2012)

Around device interaction for multiscale navigation. - Brett R. Jones; Rajinder Sodhi; David A. Forsyth; Brian P. Bailey; Giuliano Maciocci (Mobile HCI, 2012)

Discriminative hierarchical part-based models for human parsing and action recognition. - Yang Wang 003; Duan Tran; Zicheng Liao; David A. Forsyth (J. Mach. Learn. Res., 2012)

Learning Image Similarity from Flickr Groups Using Fast Kernel Machines. - Gang Wang 012; Derek Hoiem; David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

A Subdivision-Based Representation for Vector Image Editing. - Zicheng Liao; Hugues Hoppe; David A. Forsyth; Yizhou Yu (IEEE Trans. Vis. Comput. Graph., 2012)

BeThere: 3D mobile collaboration with spatial input. - Rajinder Sodhi; Brett R. Jones; David A. Forsyth; Brian P. Bailey; Giuliano Maciocci (CHI, 2013)

Non-parametric Filtering for Geometric Detail Extraction and Material Representation. - Zicheng Liao; Jason Rock; Yang Wang 003; David A. Forsyth (CVPR, 2013)

Large multi-class image categorization with ensembles of label trees. - Yang Wang 003; David A. Forsyth (ICME, 2013)

Fast Template Evaluation with Vector Quantization. - Mohammad Amin Sadeghi; David A. Forsyth (NIPS, 2013)

More Words and Bigger Pictures. - David A. Forsyth (*SEM@NAACL-HLT, 2013)

Understanding pictures of rooms: technical perspective. - David A. Forsyth (Commun. ACM, 2013)

TPAMI CVPR Special Section. - Pedro F. Felzenszwalb; David A. Forsyth; Pascal Fua; Terrance E. Boult (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Editor's note. - David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Editor's note [new Editorial Board members announced]. - David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Improved Object Categorization and Detection Using Comparative Object Similarity. - Gang Wang 012; David A. Forsyth; Derek Hoiem (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Recognizing People in Social Context. - Gang Wang 012; Andrew C. Gallagher; Jiebo Luo 001; David A. Forsyth (Human-Centered Social Media Analytics, 2014)

30Hz Object Detection with DPM V5. - Mohammad Amin Sadeghi; David A. Forsyth (ECCV (1), 2014)

Easy Minimax Estimation with Random Forests for Human Pose Estimation. - P. Daphne Tsatsoulis; David A. Forsyth (ECCV Workshops (1), 2014)

Human parsing with a cascade of hierarchical poselet based pruners. - Duan Tran; Yang Wang 003; David A. Forsyth (ICME, 2014)

Blind recovery of spatially varying reflectance from a single image. - Kevin Karsch; David A. Forsyth (SIGGRAPH ASIA Indoor Scene Understanding Where Graphics Meets Vision, 2014)

Object Detection with Discriminatively Trained Part-Based Models. - David A. Forsyth (Computer, 2014)

Recognizing activities in multiple views with fusion of frame judgments. - Selen Pehlivan; David A. Forsyth (Image Vis. Comput., 2014)

Editorial: State of the Journal. - David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Video Event Detection: From Subvolume Localization to Spatiotemporal Path Search. - Du Tran; Junsong Yuan 001; David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

ConstructAide: analyzing and visualizing construction sites through photographs and building models. - David A. Forsyth (ACM Trans. Graph., 2014)

Automatic Scene Inference for 3D Object Compositing. - Kevin Karsch; Kalyan Sunkavalli; Sunil Hadap; Nathan Carr 001; Hailin Jin; Rafael Fonte; Michael Sittig; David A. Forsyth (ACM Trans. Graph., 2014)

An approximate shading model for object relighting. - Zicheng Liao; Kevin Karsch; David A. Forsyth (CVPR, 2015)

Sparse depth super resolution. - Jiajun Lu; David A. Forsyth (CVPR, 2015)

Learning a sequential search for landmarks. - Saurabh Singh 005; Derek Hoiem; David A. Forsyth (CVPR, 2015)

Learning Large-Scale Automatic Image Colorization. - Aditya Deshpande; Jason Rock; David A. Forsyth (ICCV, 2015)

Projectibles: Optimizing Surface Color For Projection. - Brett R. Jones; Rajinder Sodhi; Pulkit Budhiraja; Kevin Karsch; Brian P. Bailey; David A. Forsyth (UIST, 2015)

Representation Learning. - David A. Forsyth (Computer, 2015)

Where's My Drink? Enabling Peripheral Real World Interactions While Using HMDs. - Pulkit Budhiraja; Rajinder Sodhi; Brett R. Jones; Kevin Karsch; Brian P. Bailey; David A. Forsyth (CoRR, 2015)

State of the Journal. - David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Learning to Localize Little Landmarks. - Saurabh Singh 005; Derek Hoiem; David A. Forsyth (CVPR, 2016)

The Static Multimodal Dyadic Behavior Dataset for Engagement Prediction. - P. Daphne Tsatsoulis; Paige Kordas; Michael Marshall; David A. Forsyth; Agata Rozga (ECCV Workshops (3), 2016)

Visual Analogies: A Framework for Defining Aspect Categorization. - P. Daphne Tsatsoulis; Bryan A. Plummer; David A. Forsyth (ECCV Workshops (3), 2016)

Keynote speakers: Computational imaging: How much imaging - How much computation? - Gerd Häusler; David A. Forsyth; Marc Walton; Francis Halzen; Aydogan Ozcan (ICCP, 2016)

Swapout: Learning an ensemble of deep architectures. - Saurabh Singh 005; Derek Hoiem; David A. Forsyth (NIPS, 2016)

Taming the name game: technical perspective. - David A. Forsyth (Commun. ACM, 2016)

Virtual Learning and Object Reconstruction. - H. Chad Lane; David A. Forsyth (Computer, 2016)

Learning Diverse Image Colorization. - Aditya Deshpande; Jiajun Lu; Mao-Chuang Yeh; David A. Forsyth (CoRR, 2016)

CDVAE: Co-embedding Deep Variational Auto Encoder for Conditional Variational Generation. - Jiajun Lu; Aditya Deshpande; David A. Forsyth (CoRR, 2016)

A Visual Representation for Editing Face Images. - Jiajun Lu; Kalyan Sunkavalli; Nathan Carr 001; Sunil Hadap; David A. Forsyth (CoRR, 2016)

Authoring image decompositions with generative models. - Jason Rock; Theerasit Issaranon; Aditya Deshpande; David A. Forsyth (CoRR, 2016)

Discriminative Hierarchical Part-Based Models for Human Parsing and Action Recognition. - Yang Wang 003; Duan Tran; Zicheng Liao; David A. Forsyth (Gesture Recognition, 2017)

Learning Diverse Image Colorization. - Aditya Deshpande; Jiajun Lu; Mao-Chuang Yeh; Min Jin Chong; David A. Forsyth (CVPR, 2017)

SafetyNet: Detecting and Rejecting Adversarial Examples Robustly. - Jiajun Lu; Theerasit Issaranon; David A. Forsyth (ICCV, 2017)

NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles. - Jiajun Lu; Hussein Sibai; Evan Fabry; David A. Forsyth (CoRR, 2017)

Rotation Blurring: Use of Artificial Blurring to Reduce Cybersickness in Virtual Reality First Person Shooters. - Pulkit Budhiraja; Mark Roman Miller; Abhishek K. Modi; David A. Forsyth (CoRR, 2017)

Standard detectors aren't (currently) fooled by physical adversarial stop signs. - Jiajun Lu; Hussein Sibai; Evan Fabry; David A. Forsyth (CoRR, 2017)

Probability and Statistics for Computer Science - David A. Forsyth (Springer, 2018)

Structural Consistency and Controllability for Diverse Colorization. - Safa Messaoud; David A. Forsyth; Alexander G. Schwing (ECCV (6), 2018)

Learning Type-Aware Embeddings for Fashion Compatibility. - Mariya I. Vasileva; Bryan A. Plummer; Krishna Dusad; Shreya Rajpal; Ranjitha Kumar; David A. Forsyth (ECCV (16), 2018)

Detecting Anomalous Faces with 'No Peeking' Autoencoders. - Anand Bhattad; Jason Rock; David A. Forsyth (CoRR, 2018)

Quantitative Evaluation of Style Transfer. - Mao-Chuang Yeh; Shuai Tang; Anand Bhattad; David A. Forsyth (CoRR, 2018)

Diverse and Controllable Image Captioning with Part-of-Speech Guidance. - Aditya Deshpande; Jyoti Aneja; Liwei Wang 009; Alexander G. Schwing; David A. Forsyth (CoRR, 2018)

Applied Machine Learning - David A. Forsyth (Springer, 2019)

Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech. - Aditya Deshpande; Jyoti Aneja; Liwei Wang 009; Alexander G. Schwing; David A. Forsyth (CVPR, 2019)

Max-Sliced Wasserstein Distance and Its Use for GANs. - Ishan Deshpande; Yuan-Ting Hu; Ruoyu Sun 001; Ayis Pyrros; Nasir Siddiqui; Sanmi Koyejo; Zhizhen Zhao 001; David A. Forsyth; Alexander G. Schwing (CVPR, 2019)

Counterfactual Depth from a Single RGB Image. - Theerasit Issaranon; Chuhang Zou; David A. Forsyth (ICCV Workshops, 2019)

Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. - Anand Bhattad; Min Jin Chong; Kaizhao Liang; Bo Li 026; David A. Forsyth (CoRR, 2019)

Using Discriminative Methods to Learn Fashion Compatibility Across Datasets. - Kedan Li; Chen Liu; Ranjitha Kumar; David A. Forsyth (CoRR, 2019)

Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models. - Shruti Bhargava; David A. Forsyth (CoRR, 2019)

ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models. - Kevin Karsch; Mani Golparvar Fard; David A. Forsyth (CoRR, 2019)

An Approximate Shading Model with Detail Decomposition for Object Relighting. - Zicheng Liao; Kevin Karsch; Hongyi Zhang; David A. Forsyth (Int. J. Comput. Vis., 2019)

Effectively Unbiased FID and Inception Score and Where to Find Them. - Min Jin Chong; David A. Forsyth (CVPR, 2020)

Why Do These Match? Explaining the Behavior of Image Similarity Models. - Bryan A. Plummer; Mariya I. Vasileva; Vitali Petsiuk; Kate Saenko; David A. Forsyth (ECCV (11), 2020)

Unrestricted Adversarial Examples via Semantic Manipulation. - Anand Bhattad; Min Jin Chong; Kaizhao Liang; Bo Li 026; David A. Forsyth (ICLR, 2020)

Improving Style Transfer with Calibrated Metrics. - Mao-Chuang Yeh; Shuai Tang; Anand Bhattad; Chuhang Zou; David A. Forsyth (WACV, 2020)

Technical perspective: XNOR-networks-powerful but tricky. - David Alexander Forsyth (Commun. ACM, 2020)

Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps. - Kedan Li; Min Jin Chong; Jingen Liu; David A. Forsyth (CoRR, 2020)

Cut-and-Paste Neural Rendering. - Anand Bhattad; David A. Forsyth (CoRR, 2020)

Cooperating RPN's Improve Few-Shot Object Detection. - Weilin Zhang; Yu-Xiong Wang; David A. Forsyth (CoRR, 2020)

Guest Editors' Introduction to the Special Section on Computational Photography. - Ayan Chakrabarti; Kalyan Sunkavalli; David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval. - Min Jin Chong; Wen-Sheng Chu; Abhishek Kumar; David A. Forsyth (ICCV, 2021)

LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies. - Dominic Roberts; Ara Danielyan; Hang Chu; Mani Golparvar Fard; David A. Forsyth (ICCV, 2021)

The Trojan Detection Challenge. - Mantas Mazeika; Dan Hendrycks; Huichen Li; Xiaojun Xu; Sidney Q. Hough; Andy Zou; Arezoo Rajabi; Qi Yao; Zihao Wang; Jian Tian; Yao Tang; Di Tang 001; et al. (NeurIPS (Competition and Demos), 2021)

GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!). - Min Jin Chong; David A. Forsyth (CoRR, 2021)

StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN. - Min Jin Chong; Hsin-Ying Lee 001; David A. Forsyth (CoRR, 2021)

SIRfyN: Single Image Relighting from your Neighbors. - David A. Forsyth; Anand Bhattad; Pranav Asthana; Yuanyi Zhong; Yu-Xiong Wang (CoRR, 2021)

Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading. - Anand Bhattad; David A. Forsyth (3DV, 2022)

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. - Liwen Wu; Jae Yong Lee 006; Anand Bhattad; Yu-Xiong Wang; David A. Forsyth (CVPR, 2022)

JoJoGAN: One Shot Face Stylization. - Min Jin Chong; David A. Forsyth (ECCV (16), 2022)

On the Importance of Firth Bias Reduction in Few-Shot Classification. - Saba Ghaffari; Ehsan Saleh; David A. Forsyth; Yu-Xiong Wang (ICLR, 2022)

How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection. - Mantas Mazeika; Bo Li 026; David A. Forsyth (ICML, 2022)

How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios. - Mantas Mazeika; Eric Tang; Andy Zou; Steven Basart; Jun Shern Chan; Dawn Song; David A. Forsyth; Jacob Steinhardt; Dan Hendrycks (NeurIPS, 2022)

Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset - Addressing the Noise-Latent Trade-Off. - Vaibhav Vavilala; David A. Forsyth (WACV, 2022)

Towards Robust Low Light Image Enhancement. - Sara Aghajanzadeh; David A. Forsyth (CoRR, 2022)

Enriching StyleGAN with Illumination Physics. - Anand Bhattad; David A. Forsyth (CoRR, 2022)

Long Scale Error Control in Low Light Image and Video Enhancement Using Equivariance. - Sara Aghajanzadeh; David A. Forsyth (CoRR, 2022)

ClimateNeRF: Physically-based Neural Rendering for Extreme Climate Synthesis. - Yuan Li; Zhi-Hao Lin; David A. Forsyth; Jia-Bin Huang 001; Shenlong Wang (CoRR, 2022)

Wearing the Same Outfit in Different Ways - A Controllable Virtual Try-on Method. - Kedan Li; Jeffrey Zhang 004; Shao-Yu Chang; David A. Forsyth (CoRR, 2022)

Intrinsic Image Decomposition Using Paradigms. - David A. Forsyth; Jason J. Rock (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. - Yuan Li; Zhi-Hao Lin; David A. Forsyth; Jia-Bin Huang 001; Shenlong Wang (ICCV, 2023)

Convex Decomposition of Indoor Scenes. - Vaibhav Vavilala; David A. Forsyth (ICCV, 2023)

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. - Yuanyi Zhong; Anand Bhattad; Yu-Xiong Wang; David A. Forsyth (ICCV, 2023)

StyleGAN knows Normal, Depth, Albedo, and More. - Anand Bhattad; Daniel McKee; Derek Hoiem; David A. Forsyth (NeurIPS, 2023)

Make It So: Steering StyleGAN for Any Image Inversion and Editing. - Anand Bhattad; Viraj Shah; Derek Hoiem; David A. Forsyth (CoRR, 2023)

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. - Zhi-Hao Lin; Bohan Liu; Yi-Ting Chen; David A. Forsyth; Jia-Bin Huang 001; Anand Bhattad; Shenlong Wang (CoRR, 2023)

Applying a Color Palette with Local Control using Diffusion Models. - Vaibhav Vavilala; David A. Forsyth (CoRR, 2023)

Blocks2World: Controlling Realistic Scenes with Editable Primitives. - Vaibhav Vavilala; Seemandhar Jain; Rahul Vasanth; Anand Bhattad; David A. Forsyth (CoRR, 2023)

POVNet: Image-Based Virtual Try-On Through Accurate Warping and Residual. - Kedan Li; Jeffrey Zhang 004; David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. - Yuan Shen; Bhargav Chandaka; Zhi-Hao Lin; Albert J. Zhai; Hang Cui 003; David A. Forsyth; Shenlong Wang (IEEE Robotics Autom. Lett., 2023)

StyLitGAN: Image-Based Relighting via Latent Control. - Anand Bhattad; James Soole; David A. Forsyth (CVPR, 2024)

Shadows Don't Lie and Lines Can't Bend! Generative Models Don't know Projective Geometry...for Now. - Ayush Sarkar; Hanlin Mai; Amitabh Mahapatra; Svetlana Lazebnik; David A. Forsyth; Anand Bhattad (CVPR, 2024)

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. - Mantas Mazeika; Long Phan; Xuwang Yin; Andy Zou; Zifan Wang 001; Norman Mu; Elham Sakhaee; Nathaniel Li; Steven Basart; Bo Li 026; David A. Forsyth; Dan Hendrycks (ICML, 2024)

Latent Intrinsics Emerge from Training to Relight. - Xiao Zhang; William Gao; Seemandhar Jain; Michael Maire; David A. Forsyth; Anand Bhattad (NeurIPS, 2024)

SoK: Privacy-Preserving Data Synthesis. - Yuzheng Hu; Fan Wu 011; Qinbin Li; Yunhui Long; Gonzalo Munilla Garrido; Chang Ge 002; Bolin Ding; David A. Forsyth; Bo Li 026; Dawn Song (SP, 2024)

Preserving Image Properties Through Initializations in Diffusion Models. - Jeffrey Zhang 004; Shao-Yu Chang; Kedan Li; David A. Forsyth (WACV, 2024)

P2D: Plug and Play Discriminator for accelerating GAN frameworks. - Min Jin Chong; Krishna Kumar Singh; Yijun Li 001; Jingwan Lu; David A. Forsyth (WACV, 2024)

Controlling Virtual Try-on Pipeline Through Rendering Policies. - Kedan Li; Jeffrey Zhang 004; Shao-Yu Chang; David A. Forsyth (WACV, 2024)

ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On. - Jeffrey Zhang 004; Kedan Li; Shao-Yu Chang; David A. Forsyth (CoRR, 2024)

Improved Convex Decomposition with Ensembling and Boolean Primitives. - Vaibhav Vavilala; Florian Kluger; Seemandhar Jain; Bodo Rosenhahn; David A. Forsyth (CoRR, 2024)

Zero-Shot Low Light Image Enhancement with Diffusion Prior. - Joshua Cho; Sara Aghajanzadeh; Zhen Zhu; David A. Forsyth (CoRR, 2024)

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. - Chih-Hao Lin; Bohan Liu; Yi-Ting Chen; Kuan-Sheng Chen; David A. Forsyth; Jia-Bin Huang; Anand Bhattad; Shenlong Wang (3DV, 2025)

Denoising Monte Carlo Renders with Diffusion Models. - Vaibhav Vavilala; Rahul Vasanth; David A. Forsyth (3DV, 2025)

Copy or Not? Reference-Based Face Image Restoration with Fine Details. - Min Jin Chong; Dejia Xu; Yi Zhang; Zhangyang Wang; David A. Forsyth; Gurunandan Krishnan; Yicheng Wu; Jian Wang (WACV, 2025)

Dequantization and Color Transfer with Diffusion Models. - Vaibhav Vavilala; Faaris Shaik; David A. Forsyth (WACV, 2025)

Empirical Privacy Variance. - Yuzheng Hu; Fan Wu 011; Ruicheng Xian; Yuhang Liu; Lydia Zakynthinou; Pritish Kamath; Chiyuan Zhang; David A. Forsyth (CoRR, 2025)

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning. - Yuzheng Hu; Fan Wu 011; Haotian Ye; David A. Forsyth; James Zou 001; Nan Jiang; Jiaqi W. Ma; Han Zhao (CoRR, 2025)

Generative Blocks World: Moving Things Around in Pictures. - Vaibhav Vavilala; Seemandhar Jain; Rahul Vasanth; David A. Forsyth; Anand Bhattad (CoRR, 2025)

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling. - Xiaoxue Chen; Bhargav Chandaka; Chih-Hao Lin; Ya-Qin Zhang; David A. Forsyth; Hao Zhao; Shenlong Wang (CoRR, 2025)