David A. Forsyth

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 96

Top Venues

CoRR

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

ICCV

University of Oxford, UK (PHD)

Education History

University of Oxford, UK

PHD

Publications

Jeffrey Zhang, Kedan Li, Shao-Yu Chang, David A. Forsyth
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On. CoRR (2024)
Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad
Latent Intrinsics Emerge from Training to Relight. CoRR (2024)
Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David A. Forsyth
P2D: Plug and Play Discriminator for accelerating GAN frameworks. WACV (2024)
Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David A. Forsyth
Preserving Image Properties Through Initializations in Diffusion Models. WACV (2024)
Vaibhav Vavilala, Florian Kluger, Seemandhar Jain, Bodo Rosenhahn, David A. Forsyth
Improved Convex Decomposition with Ensembling and Boolean Primitives. CoRR (2024)
Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. CoRR (2024)
Kedan Li, Jeffrey Zhang, Shao-Yu Chang, David A. Forsyth
Controlling Virtual Try-on Pipeline Through Rendering Policies. WACV (2024)
Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David A. Forsyth
Preserving Image Properties Through Initializations in Diffusion Models. CoRR (2024)
Vaibhav Vavilala, Rahul Vasanth, David A. Forsyth
Denoising Monte Carlo Renders With Diffusion Models. CoRR (2024)
Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
StyleGAN knows Normal, Depth, Albedo, and More. NeurIPS (2023)
Kedan Li, Jeffrey Zhang, David A. Forsyth
POVNet: Image-Based Virtual Try-On Through Accurate Warping and Residual. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. ICCV (2023)
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. CoRR (2023)
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
SoK: Privacy-Preserving Data Synthesis. CoRR (2023)
Vaibhav Vavilala, David A. Forsyth
Convex Decomposition of Indoor Scenes. ICCV (2023)
Zhi-Hao Lin, Bohan Liu, Yi-Ting Chen, David A. Forsyth, Jia-Bin Huang, Anand Bhattad, Shenlong Wang
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. CoRR (2023)
Yuan Shen, Bhargav Chandaka, Zhi-Hao Lin, Albert J. Zhai, Hang Cui, David A. Forsyth, Shenlong Wang
Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. CoRR (2023)
Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth
Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR (2023)
Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David A. Forsyth
Blocks2World: Controlling Realistic Scenes with Editable Primitives. CoRR (2023)
Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
StyleGAN knows Normal, Depth, Albedo, and More. CoRR (2023)
Yuan Shen, Bhargav Chandaka, Zhi-Hao Lin, Albert J. Zhai, Hang Cui, David A. Forsyth, Shenlong Wang
Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. IEEE Robotics Autom. Lett. 8 (12) (2023)
Vaibhav Vavilala, David A. Forsyth
Applying a Color Palette with Local Control using Diffusion Models. CoRR (2023)
Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now. CoRR (2023)
Vaibhav Vavilala, David A. Forsyth
Convex Decomposition of Indoor Scenes. CoRR (2023)
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. ICCV (2023)
Anand Bhattad, David A. Forsyth
Enriching StyleGAN with Illumination Physics. CoRR (2022)
Mantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David A. Forsyth, Jacob Steinhardt, Dan Hendrycks
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios. NeurIPS (2022)
Anand Bhattad, David A. Forsyth
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading. 3DV (2022)
Mantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David A. Forsyth, Jacob Steinhardt, Dan Hendrycks
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios. CoRR (2022)
David A. Forsyth, Jason J. Rock
Intrinsic Image Decomposition Using Paradigms. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Kedan Li, Jeffrey Zhang, Shao-Yu Chang, David A. Forsyth
Wearing the Same Outfit in Different Ways - A Controllable Virtual Try-on Method. CoRR (2022)
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. CVPR (2022)
Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang
On the Importance of Firth Bias Reduction in Few-Shot Classification. ICLR (2022)
Mantas Mazeika, Bo Li, David A. Forsyth
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection. CoRR (2022)
Mantas Mazeika, Bo Li, David A. Forsyth
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection. ICML (2022)
Min Jin Chong, David A. Forsyth
JoJoGAN: One Shot Face Stylization. ECCV (16) (2022)
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, Roman Smirnov, Pavel Pleskov, Nikita Benkovich, Dawn Song, Radha Poovendran, Bo Li, David A. Forsyth
The Trojan Detection Challenge. NeurIPS (Competition and Demos) (2021)
Min Jin Chong, David A. Forsyth
GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!). CoRR (2021)
Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, David A. Forsyth
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval. CoRR (2021)
Dominic Roberts, Ara Danielyan, Hang Chu, Mani Golparvar Fard, David A. Forsyth
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies. ICCV (2021)
Min Jin Chong, David A. Forsyth
JoJoGAN: One Shot Face Stylization. CoRR (2021)
David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang
SIRfyN: Single Image Relighting from your Neighbors. CoRR (2021)
Min Jin Chong, Hsin-Ying Lee, David A. Forsyth
StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN. CoRR (2021)
Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, David A. Forsyth
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval. ICCV (2021)
Min Jin Chong, David A. Forsyth
Effectively Unbiased FID and Inception Score and Where to Find Them. CVPR (2020)
David A. Forsyth, Jason J. Rock
Intrinsic Image Decomposition using Paradigms. CoRR (2020)
Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth
Why Do These Match? Explaining the Behavior of Image Similarity Models. ECCV (11) (2020)
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth
Improving Style Transfer with Calibrated Metrics. WACV (2020)
Kedan Li, Min Jin Chong, Jingen Liu, David A. Forsyth
Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps. CoRR (2020)
Ayan Chakrabarti, Kalyan Sunkavalli, David A. Forsyth
Guest Editors' Introduction to the Special Section on Computational Photography. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Anand Bhattad, David A. Forsyth
Cut-and-Paste Neural Rendering. CoRR (2020)
Weilin Zhang, Yu-Xiong Wang, David A. Forsyth
Cooperating RPN's Improve Few-Shot Object Detection. CoRR (2020)
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
Unrestricted Adversarial Examples via Semantic Manipulation. ICLR (2020)
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
Max-Sliced Wasserstein Distance and Its Use for GANs. CVPR (2019)
Theerasit Issaranon, Chuhang Zou, David A. Forsyth
Counterfactual Depth from a Single RGB Image. ICCV Workshops (2019)
Kedan Li, Chen Liu, Ranjitha Kumar, David A. Forsyth
Using Discriminative Methods to Learn Fashion Compatibility Across Datasets. CoRR (2019)
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
Max-Sliced Wasserstein Distance and its use for GANs. CoRR (2019)
Kevin Karsch, David A. Forsyth
Blind Recovery of Spatially Varying Reflectance from a Single Image. CoRR (2019)
Theerasit Issaranon, Chuhang Zou, David A. Forsyth
Counterfactual Depth from a Single RGB Image. CoRR (2019)
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. CoRR (2019)
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth
Improving Style Transfer with Calibrated Metrics. CoRR (2019)
Zicheng Liao, Kevin Karsch, Hongyi Zhang, David A. Forsyth
An Approximate Shading Model with Detail Decomposition for Object Relighting. Int. J. Comput. Vis. 127 (1) (2019)
Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth
Why do These Match? Explaining the Behavior of Image Similarity Models. CoRR (2019)
Min Jin Chong, David A. Forsyth
Effectively Unbiased FID and Inception Score and where to find them. CoRR (2019)
Shruti Bhargava, David A. Forsyth
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models. CoRR (2019)
Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth
Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech. CVPR (2019)
Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem
Rendering Synthetic Objects into Legacy Photographs. CoRR (2019)
Kevin Karsch, Mani Golparvar Fard, David A. Forsyth
ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models. CoRR (2019)
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, David A. Forsyth
Quantitative Evaluation of Style Transfer. CoRR (2018)
Safa Messaoud, David A. Forsyth, Alexander G. Schwing
Structural Consistency and Controllability for Diverse Colorization. ECCV (6) (2018)
Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad, Shreya Rajpal, Ranjitha Kumar, David A. Forsyth
Learning Type-Aware Embeddings for Fashion Compatibility. CoRR (2018)
Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth
Diverse and Controllable Image Captioning with Part-of-Speech Guidance. CoRR (2018)
Anand Bhattad, Jason Rock, David A. Forsyth
Detecting Anomalous Faces with 'No Peeking' Autoencoders. CoRR (2018)
Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad, Shreya Rajpal, Ranjitha Kumar, David A. Forsyth
Learning Type-Aware Embeddings for Fashion Compatibility. ECCV (16) (2018)
Zicheng Liao, Kevin Karsch, Hongyi Zhang, David A. Forsyth
An Approximate Shading Model with Detail Decomposition for Object Relighting. CoRR (2018)
Safa Messaoud, David A. Forsyth, Alexander G. Schwing
Structural Consistency and Controllability for Diverse Colorization. CoRR (2018)
Jiajun Lu, Hussein Sibai, Evan Fabry, David A. Forsyth
Standard detectors aren't (currently) fooled by physical adversarial stop signs. CoRR (2017)
Pulkit Budhiraja, Mark Roman Miller, Abhishek K. Modi, David A. Forsyth
Rotation Blurring: Use of Artificial Blurring to Reduce Cybersickness in Virtual Reality First Person Shooters. CoRR (2017)
David A. Forsyth
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 39 (1) (2017)
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, David A. Forsyth
Learning Diverse Image Colorization. CVPR (2017)
Jiajun Lu, Hussein Sibai, Evan Fabry, David A. Forsyth
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles. CoRR (2017)
Jiajun Lu, Theerasit Issaranon, David A. Forsyth
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly. CoRR (2017)
Jiajun Lu, Theerasit Issaranon, David A. Forsyth
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly. ICCV (2017)
Jason Rock, Theerasit Issaranon, Aditya Deshpande, David A. Forsyth
Authoring image decompositions with generative models. CoRR (2016)
P. Daphne Tsatsoulis, Paige Kordas, Michael Marshall, David A. Forsyth, Agata Rozga
The Static Multimodal Dyadic Behavior Dataset for Engagement Prediction. ECCV Workshops (3) (2016)
Gerd Häusler, David A. Forsyth, Marc Walton, Francis Halzen, Aydogan Ozcan
Keynote speakers: Computational imaging: How much imaging - How much computation? ICCP (2016)
Jiajun Lu, Kalyan Sunkavalli, Nathan Carr, Sunil Hadap, David A. Forsyth
A Visual Representation for Editing Face Images. CoRR (2016)
Saurabh Singh, Derek Hoiem, David A. Forsyth
Swapout: Learning an ensemble of deep architectures. NIPS (2016)
Saurabh Singh, Derek Hoiem, David A. Forsyth
Swapout: Learning an ensemble of deep architectures. CoRR (2016)
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, David A. Forsyth
Learning Diverse Image Colorization. CoRR (2016)
David A. Forsyth
Taming the name game: technical perspective. Commun. ACM 59 (3) (2016)
Saurabh Singh, Derek Hoiem, David A. Forsyth
Learning to Localize Little Landmarks. CVPR (2016)
P. Daphne Tsatsoulis, Bryan A. Plummer, David A. Forsyth
Visual Analogies: A Framework for Defining Aspect Categorization. ECCV Workshops (3) (2016)
Jiajun Lu, Aditya Deshpande, David A. Forsyth
CDVAE: Co-embedding Deep Variational Auto Encoder for Conditional Variational Generation. CoRR (2016)
David A. Forsyth
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 38 (2) (2016)
H. Chad Lane, David A. Forsyth
Virtual Learning and Object Reconstruction. Computer 49 (5) (2016)
David A. Forsyth
Representation Learning. Computer 48 (4) (2015)
Aditya Deshpande, Jason Rock, David A. Forsyth
Learning Large-Scale Automatic Image Colorization. ICCV (2015)
Pulkit Budhiraja, Rajinder Sodhi, Brett R. Jones, Kevin Karsch, Brian P. Bailey, David A. Forsyth
Where's My Drink? Enabling Peripheral Real World Interactions While Using HMDs. CoRR (2015)
Brett R. Jones, Rajinder Sodhi, Pulkit Budhiraja, Kevin Karsch, Brian P. Bailey, David A. Forsyth
Projectibles: Optimizing Surface Color For Projection. UIST (2015)

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Publication Activity (10 Years)

Top Topics

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David A. Forsyth