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ORCIDDavid A. Forsyth
David Alexander Forsyth
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- affiliation: University of Illinois, Urbana-Champaign, IL, USA
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2020 – today
- 2025
[c174]Vaibhav Vavilala, Faaris Shaik, David A. Forsyth:
Dequantization and Color Transfer with Diffusion Models. WACV 2025: 9630-9639- [c173]Min Jin Chong, Dejia Xu, Yi Zhang, Zhangyang Wang, David A. Forsyth, Gurunandan Krishnan, Yicheng Wu, Jian Wang:
Copy or Not? Reference-Based Face Image Restoration with Fine Details. WACV 2025: 9660-9669 - [i67]Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David A. Forsyth:
Empirical Privacy Variance. CoRR abs/2503.12314 (2025) - [i66]Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao:
A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning. CoRR abs/2505.19281 (2025) - [i65]Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, David A. Forsyth, Anand Bhattad:
Generative Blocks World: Moving Things Around in Pictures. CoRR abs/2506.20703 (2025) - 2024
- [c172]Anand Bhattad, James Soole, David A. Forsyth:
StyLitGAN: Image-Based Relighting via Latent Control. CVPR 2024: 4231-4240 - [c171]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. CVPR 2024: 28140-28149 - [c170]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. ICML 2024 - [c169]Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad:
Latent Intrinsics Emerge from Training to Relight. NeurIPS 2024 - [c168]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. SP 2024: 4696-4713 - [c167]Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David A. Forsyth:
Preserving Image Properties Through Initializations in Diffusion Models. WACV 2024: 5230-5238 - [c166]Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David A. Forsyth:
P2D: Plug and Play Discriminator for accelerating GAN frameworks. WACV 2024: 5410-5419 - [c165]Kedan Li, Jeffrey Zhang, Shao-Yu Chang, David A. Forsyth:
Controlling Virtual Try-on Pipeline Through Rendering Policies. WACV 2024: 5854-5836 - [i64]Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David A. Forsyth:
Preserving Image Properties Through Initializations in Diffusion Models. CoRR abs/2401.02097 (2024) - [i63]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 abs/2402.04249 (2024) - [i62]Jeffrey Zhang, Kedan Li, Shao-Yu Chang, David A. Forsyth:
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On. CoRR abs/2403.13951 (2024) - [i61]Vaibhav Vavilala, Rahul Vasanth, David A. Forsyth:
Denoising Monte Carlo Renders With Diffusion Models. CoRR abs/2404.00491 (2024) - [i60]Vaibhav Vavilala, Florian Kluger, Seemandhar Jain, Bodo Rosenhahn, David A. Forsyth:
Improved Convex Decomposition with Ensembling and Boolean Primitives. CoRR abs/2405.19569 (2024) - [i59]Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad:
Latent Intrinsics Emerge from Training to Relight. CoRR abs/2405.21074 (2024) - [i58]Joshua Cho, Sara Aghajanzadeh, Zhen Zhu, David A. Forsyth:
Zero-Shot Low Light Image Enhancement with Diffusion Prior. CoRR abs/2412.13401 (2024) - 2023
- [j58]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): 12222-12235 (2023) - [j57]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): 8192-8199 (2023) - [c164]Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang:
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. ICCV 2023: 3204-3215 - [c163]Vaibhav Vavilala, David A. Forsyth:
Convex Decomposition of Indoor Scenes. ICCV 2023: 9142-9152 - [c162]Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. ICCV 2023: 21718-21728 - [c161]Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. NeurIPS 2023 - [i57]Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth:
Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR abs/2304.14403 (2023) - [i56]Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. CoRR abs/2306.00987 (2023) - [i55]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 abs/2306.08807 (2023) - [i54]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 abs/2306.09349 (2023) - [i53]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 abs/2307.02106 (2023) - [i52]Vaibhav Vavilala, David A. Forsyth:
Applying a Color Palette with Local Control using Diffusion Models. CoRR abs/2307.02698 (2023) - [i51]Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David A. Forsyth:
Blocks2World: Controlling Realistic Scenes with Editable Primitives. CoRR abs/2307.03847 (2023) - [i50]Vaibhav Vavilala, David A. Forsyth:
Convex Decomposition of Indoor Scenes. CoRR abs/2307.04246 (2023) - [i49]Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. CoRR abs/2309.16646 (2023) - [i48]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 abs/2311.17138 (2023) - 2022
- [j56]David A. Forsyth, Jason J. Rock:
Intrinsic Image Decomposition Using Paradigms. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7624-7637 (2022) - [c160]Anand Bhattad, David A. Forsyth:
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading. 3DV 2022: 332-341 - [c159]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: 16179-16188 - [c158]Min Jin Chong, David A. Forsyth:
JoJoGAN: One Shot Face Stylization. ECCV (16) 2022: 128-152 - [c157]Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang:
On the Importance of Firth Bias Reduction in Few-Shot Classification. ICLR 2022 - [c156]Mantas Mazeika, Bo Li, David A. Forsyth:
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection. ICML 2022: 15241-15254 - [c155]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 - [c154]Vaibhav Vavilala, David A. Forsyth:
Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset - Addressing the Noise-Latent Trade-Off. WACV 2022: 110-119 - [i47]Sara Aghajanzadeh, David A. Forsyth:
Towards Robust Low Light Image Enhancement. CoRR abs/2205.08615 (2022) - [i46]Anand Bhattad, David A. Forsyth:
Enriching StyleGAN with Illumination Physics. CoRR abs/2205.10351 (2022) - [i45]Sara Aghajanzadeh, David A. Forsyth:
Long Scale Error Control in Low Light Image and Video Enhancement Using Equivariance. CoRR abs/2206.01334 (2022) - [i44]Mantas Mazeika, Bo Li, David A. Forsyth:
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection. CoRR abs/2206.14157 (2022) - [i43]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 abs/2210.10039 (2022) - [i42]Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang:
ClimateNeRF: Physically-based Neural Rendering for Extreme Climate Synthesis. CoRR abs/2211.13226 (2022) - [i41]Kedan Li, Jeffrey Zhang, Shao-Yu Chang, David A. Forsyth:
Wearing the Same Outfit in Different Ways - A Controllable Virtual Try-on Method. CoRR abs/2211.16989 (2022) - 2021
- [c153]Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, David A. Forsyth:
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval. ICCV 2021: 3867-3876 - [c152]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: 5816-5825 - [c151]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: 279-291 - [i40]Min Jin Chong, David A. Forsyth:
GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!). CoRR abs/2106.06561 (2021) - [i39]Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, David A. Forsyth:
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval. CoRR abs/2107.06256 (2021) - [i38]Vaibhav Vavilala, David A. Forsyth:
Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset - Addressing the Noise-Latent Trade-Off. CoRR abs/2108.08922 (2021) - [i37]Dominic Roberts, Ara Danielyan, Hang Chu, Mani Golparvar Fard, David A. Forsyth:
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies. CoRR abs/2108.13459 (2021) - [i36]Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang:
On the Importance of Firth Bias Reduction in Few-Shot Classification. CoRR abs/2110.02529 (2021) - [i35]Min Jin Chong, Hsin-Ying Lee, David A. Forsyth:
StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN. CoRR abs/2111.01619 (2021) - [i34]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. CoRR abs/2111.10427 (2021) - [i33]David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang:
SIRfyN: Single Image Relighting from your Neighbors. CoRR abs/2112.04497 (2021) - [i32]Min Jin Chong, David A. Forsyth:
JoJoGAN: One Shot Face Stylization. CoRR abs/2112.11641 (2021) - 2020
- [j55]David Alexander Forsyth:
Technical perspective: XNOR-networks-powerful but tricky. Commun. ACM 63(12): 82 (2020) - [j54]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): 1545-1546 (2020) - [c150]Min Jin Chong, David A. Forsyth:
Effectively Unbiased FID and Inception Score and Where to Find Them. CVPR 2020: 6069-6078 - [c149]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: 652-669 - [c148]Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth:
Unrestricted Adversarial Examples via Semantic Manipulation. ICLR 2020 - [c147]Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth:
Improving Style Transfer with Calibrated Metrics. WACV 2020: 3149-3157 - [i31]Kedan Li, Min Jin Chong, Jingen Liu, David A. Forsyth:
Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps. CoRR abs/2003.10817 (2020) - [i30]Anand Bhattad, David A. Forsyth:
Cut-and-Paste Neural Rendering. CoRR abs/2010.05907 (2020) - [i29]Weilin Zhang, Yu-Xiong Wang, David A. Forsyth:
Cooperating RPN's Improve Few-Shot Object Detection. CoRR abs/2011.10142 (2020) - [i28]David A. Forsyth, Jason J. Rock:
Intrinsic Image Decomposition using Paradigms. CoRR abs/2011.10512 (2020)
2010 – 2019
- 2019
- [b4]David A. Forsyth:
Applied Machine Learning. Springer 2019, ISBN 978-3-030-18113-0, pp. 1-494 - [j53]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): 22-37 (2019) - [c146]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: 10648-10656 - [c145]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: 10695-10704 - [c144]Theerasit Issaranon, Chuhang Zou, David A. Forsyth:
Counterfactual Depth from a Single RGB Image. ICCV Workshops 2019: 2129-2138 - [i27]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 abs/1904.05877 (2019) - [i26]Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth:
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. CoRR abs/1904.06347 (2019) - [i25]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 abs/1905.10797 (2019) - [i24]Kedan Li, Chen Liu, Ranjitha Kumar, David A. Forsyth:
Using Discriminative Methods to Learn Fashion Compatibility Across Datasets. CoRR abs/1906.07273 (2019) - [i23]Theerasit Issaranon, Chuhang Zou, David A. Forsyth:
Counterfactual Depth from a Single RGB Image. CoRR abs/1909.00915 (2019) - [i22]Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth:
Improving Style Transfer with Calibrated Metrics. CoRR abs/1910.09447 (2019) - [i21]Min Jin Chong, David A. Forsyth:
Effectively Unbiased FID and Inception Score and where to find them. CoRR abs/1911.07023 (2019) - [i20]Shruti Bhargava, David A. Forsyth:
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models. CoRR abs/1912.00578 (2019) - [i19]Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem:
Rendering Synthetic Objects into Legacy Photographs. CoRR abs/1912.11565 (2019) - [i18]Kevin Karsch, Mani Golparvar Fard, David A. Forsyth:
ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models. CoRR abs/1912.11567 (2019) - [i17]Kevin Karsch, David A. Forsyth:
Blind Recovery of Spatially Varying Reflectance from a Single Image. CoRR abs/1912.11568 (2019) - 2018
- [b3]David A. Forsyth:
Probability and Statistics for Computer Science. Springer 2018, ISBN 978-3-319-64409-7, pp. 3-361 - [c143]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: 405-421 - [c142]Safa Messaoud, David A. Forsyth, Alexander G. Schwing:
Structural Consistency and Controllability for Diverse Colorization. ECCV (6) 2018: 603-619 - [i16]Anand Bhattad, Jason Rock, David A. Forsyth:
Detecting Anomalous Faces with 'No Peeking' Autoencoders. CoRR abs/1802.05798 (2018) - [i15]Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad, Shreya Rajpal, Ranjitha Kumar, David A. Forsyth:
Learning Type-Aware Embeddings for Fashion Compatibility. CoRR abs/1803.09196 (2018) - [i14]Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, David A. Forsyth:
Quantitative Evaluation of Style Transfer. CoRR abs/1804.00118 (2018) - [i13]Zicheng Liao, Kevin Karsch, Hongyi Zhang, David A. Forsyth:
An Approximate Shading Model with Detail Decomposition for Object Relighting. CoRR abs/1804.07514 (2018) - [i12]Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth:
Diverse and Controllable Image Captioning with Part-of-Speech Guidance. CoRR abs/1805.12589 (2018) - [i11]Safa Messaoud, David A. Forsyth, Alexander G. Schwing:
Structural Consistency and Controllability for Diverse Colorization. CoRR abs/1809.02129 (2018) - 2017
- [j52]David A. Forsyth:
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 1-2 (2017) - [c141]Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, David A. Forsyth:
Learning Diverse Image Colorization. CVPR 2017: 2877-2885 - [c140]Jiajun Lu, Theerasit Issaranon, David A. Forsyth:
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly. ICCV 2017: 446-454 - [p3]Yang Wang, Duan Tran, Zicheng Liao, David A. Forsyth:
Discriminative Hierarchical Part-Based Models for Human Parsing and Action Recognition. Gesture Recognition 2017: 273-301 - [i10]Jiajun Lu, Theerasit Issaranon, David A. Forsyth:
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly. CoRR abs/1704.00103 (2017) - [i9]Jiajun Lu, Hussein Sibai, Evan Fabry, David A. Forsyth:
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles. CoRR abs/1707.03501 (2017) - [i8]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 abs/1710.02599 (2017) - [i7]Jiajun Lu, Hussein Sibai, Evan Fabry, David A. Forsyth:
Standard detectors aren't (currently) fooled by physical adversarial stop signs. CoRR abs/1710.03337 (2017) - 2016
- [j51]David A. Forsyth:
Taming the name game: technical perspective. Commun. ACM 59(3): 107 (2016) - [j50]H. Chad Lane, David A. Forsyth:
Virtual Learning and Object Reconstruction. Computer 49(5): 14-15 (2016) - [j49]David A. Forsyth:
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 209-210 (2016) - [c139]Saurabh Singh, Derek Hoiem, David A. Forsyth:
Learning to Localize Little Landmarks. CVPR 2016: 260-269 - [c138]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: 386-399 - [c137]P. Daphne Tsatsoulis, Bryan A. Plummer, David A. Forsyth:
Visual Analogies: A Framework for Defining Aspect Categorization. ECCV Workshops (3) 2016: 540-547 - [c136]Gerd Häusler, David A. Forsyth, Marc Walton, Francis Halzen, Aydogan Ozcan:
Keynote speakers: Computational imaging: How much imaging - How much computation? ICCP 2016: xiii-xviii - [c135]Saurabh Singh, Derek Hoiem, David A. Forsyth:
Swapout: Learning an ensemble of deep architectures. NIPS 2016: 28-36 - [i6]Saurabh Singh, Derek Hoiem, David A. Forsyth:
Swapout: Learning an ensemble of deep architectures. CoRR abs/1605.06465 (2016) - [i5]Jiajun Lu, Aditya Deshpande, David A. Forsyth:
CDVAE: Co-embedding Deep Variational Auto Encoder for Conditional Variational Generation. CoRR abs/1612.00132 (2016) - [i4]Jiajun Lu, Kalyan Sunkavalli, Nathan Carr, Sunil Hadap, David A. Forsyth:
A Visual Representation for Editing Face Images. CoRR abs/1612.00522 (2016) - [i3]Jason Rock, Theerasit Issaranon, Aditya Deshpande, David A. Forsyth:
Authoring image decompositions with generative models. CoRR abs/1612.01479 (2016) - [i2]Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, David A. Forsyth:
Learning Diverse Image Colorization. CoRR abs/1612.01958 (2016) - 2015
- [j48]David A. Forsyth:
Representation Learning. Computer 48(4): 6 (2015) - [j47]David A. Forsyth:
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 1 (2015) - [c134]Jiajun Lu, David A. Forsyth:
Sparse depth super resolution. CVPR 2015: 2245-2253 - [c133]Saurabh Singh, Derek Hoiem, David A. Forsyth:
Learning a sequential search for landmarks. CVPR 2015: 3422-3430 - [c132]Zicheng Liao, Kevin Karsch, David A. Forsyth:
An approximate shading model for object relighting. CVPR 2015: 5307-5314 - [c131]Aditya Deshpande, Jason Rock, David A. Forsyth:
Learning Large-Scale Automatic Image Colorization. ICCV 2015: 567-575 - [c130]Brett R. Jones, Rajinder Sodhi, Pulkit Budhiraja, Kevin Karsch, Brian P. Bailey, David A. Forsyth:
Projectibles: Optimizing Surface Color For Projection. UIST 2015: 137-146 - [i1]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 abs/1502.04744 (2015) - 2014
- [j46]David A. Forsyth:
Object Detection with Discriminatively Trained Part-Based Models. Computer 47(2): 6-7 (2014) - [j45]Selen Pehlivan, David A. Forsyth:
Recognizing activities in multiple views with fusion of frame judgments. Image Vis. Comput. 32(4): 237-249 (2014) - [j44]David A. Forsyth:
Editorial: State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 1 (2014) - [j43]Du Tran, Junsong Yuan, David A. Forsyth:
Video Event Detection: From Subvolume Localization to Spatiotemporal Path Search. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 404-416 (2014) - [j42]Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Hailin Jin, Rafael Fonte, Michael Sittig, David A. Forsyth:
Automatic Scene Inference for 3D Object Compositing. ACM Trans. Graph. 33(3): 32:1-32:15 (2014) - [j41]David A. Forsyth:
ConstructAide: analyzing and visualizing construction sites through photographs and building models. ACM Trans. Graph. 33(6): 176:1-176:11 (2014) - [c129]Mohammad Amin Sadeghi, David A. Forsyth:
30Hz Object Detection with DPM V5. ECCV (1) 2014: 65-79 - [c128]P. Daphne Tsatsoulis, David A. Forsyth:
Easy Minimax Estimation with Random Forests for Human Pose Estimation. ECCV Workshops (1) 2014: 669-684 - [c127]Duan Tran, Yang Wang, David A. Forsyth:
Human parsing with a cascade of hierarchical poselet based pruners. ICME 2014: 1-6 - [c126]Kevin Karsch, David A. Forsyth:
Blind recovery of spatially varying reflectance from a single image. SIGGRAPH ASIA Indoor Scene Understanding Where Graphics Meets Vision 2014: 2:1-2:10 - [p2]Gang Wang, Andrew C. Gallagher, Jiebo Luo, David A. Forsyth:
Recognizing People in Social Context. Human-Centered Social Media Analytics 2014: 117-131 - 2013
- [j40]David A. Forsyth:
Understanding pictures of rooms: technical perspective. Commun. ACM 56(4): 91 (2013) - [j39]David A. Forsyth:
Editor's note. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 3-4 (2013) - [j38]David A. Forsyth:
Editor's note [new Editorial Board members announced]. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 257-258 (2013) - [j37]Gang Wang, David A. Forsyth, Derek Hoiem:
Improved Object Categorization and Detection Using Comparative Object Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2442-2453 (2013) - [j36]Pedro F. Felzenszwalb, David A. Forsyth, Pascal Fua, Terrance E. Boult:
TPAMI CVPR Special Section. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2819-2820 (2013) - [c125]Rajinder Sodhi, Brett R. Jones, David A. Forsyth, Brian P. Bailey, Giuliano Maciocci:
BeThere: 3D mobile collaboration with spatial input. CHI 2013: 179-188 - [c124]Zicheng Liao, Jason Rock, Yang Wang, David A. Forsyth:
Non-parametric Filtering for Geometric Detail Extraction and Material Representation. CVPR 2013: 963-970 - [c123]Yang Wang, David A. Forsyth:
Large multi-class image categorization with ensembles of label trees. ICME 2013: 1-6 - [c122]Mohammad Amin Sadeghi, David A. Forsyth:
Fast Template Evaluation with Vector Quantization. NIPS 2013: 2949-2957 - [c121]David A. Forsyth:
More Words and Bigger Pictures. *SEM@NAACL-HLT 2013: 254 - 2012
- [b2]David A. Forsyth, Jean Ponce:
Computer Vision - A Modern Approach, Second Edition. Pitman 2012, ISBN 978-0-273-76414-4, pp. 1-791 - [j35]Yang Wang, Duan Tran, Zicheng Liao, David A. Forsyth:
Discriminative hierarchical part-based models for human parsing and action recognition. J. Mach. Learn. Res. 13: 3075-3102 (2012) - [j34]Gang Wang, Derek Hoiem, David A. Forsyth:
Learning Image Similarity from Flickr Groups Using Fast Kernel Machines. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2177-2188 (2012) - [j33]Zicheng Liao, Hugues Hoppe, David A. Forsyth, Yizhou Yu:
A Subdivision-Based Representation for Vector Image Editing. IEEE Trans. Vis. Comput. Graph. 18(11): 1858-1867 (2012) - [c120]Varsha Hedau, Derek Hoiem, David A. Forsyth:
Recovering free space of indoor scenes from a single image. CVPR 2012: 2807-2814 - [c119]Zicheng Liao, Ali Farhadi, Yang Wang, Ian Endres, David A. Forsyth:
Building a dictionary of image fragments. CVPR 2012: 3442-3449 - [c118]Mohammad Rastegari, Ali Farhadi, David A. Forsyth:
Attribute Discovery via Predictable Discriminative Binary Codes. ECCV (6) 2012: 876-889 - [c117]Brett R. Jones, Rajinder Sodhi, David A. Forsyth, Brian P. Bailey, Giuliano Maciocci:
Around device interaction for multiscale navigation. Mobile HCI 2012: 83-92 - 2011
- [j32]David A. Forsyth:
Variable-Source Shading Analysis. Int. J. Comput. Vis. 91(3): 280-302 (2011) - [j31]Anna Paviotti, David A. Forsyth, Guido M. Cortelazzo:
Lightness Recovery for Pictorial Surfaces. Int. J. Comput. Vis. 94(1): 54-77 (2011) - [j30]Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem:
Rendering synthetic objects into legacy photographs. ACM Trans. Graph. 30(6): 157 (2011) - [c116]David A. Forsyth:
Still looking at people. ICMI 2011: 1-2 - 2010
- [j29]Tamara L. Berg, Alexander Sorokin, Gang Wang, David A. Forsyth, Derek Hoiem, Ian Endres, Ali Farhadi:
It's All About the Data. Proc. IEEE 98(8): 1434-1452 (2010) - [c115]Ian Endres, Ali Farhadi, Derek Hoiem, David A. Forsyth:
The benefits and challenges of collecting richer object annotations. CVPR Workshops 2010: 1-8 - [c114]Gang Wang, David A. Forsyth, Derek Hoiem:
Comparative object similarity for improved recognition with few or no examples. CVPR 2010: 3525-3532 - [c113]Ali Farhadi, Seyyed Mohammad Mohsen Hejrati, Mohammad Amin Sadeghi, Peter Young, Cyrus Rashtchian, Julia Hockenmaier, David A. Forsyth:
Every Picture Tells a Story: Generating Sentences from Images. ECCV (4) 2010: 15-29 - [c112]Gang Wang, Andrew C. Gallagher, Jiebo Luo, David A. Forsyth:
Seeing People in Social Context: Recognizing People and Social Relationships. ECCV (5) 2010: 169-182 - [c111]Varsha Hedau, Derek Hoiem, David A. Forsyth:
Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry. ECCV (6) 2010: 224-237 - [c110]Duan Tran, David A. Forsyth:
Improved Human Parsing with a Full Relational Model. ECCV (4) 2010: 227-240
2000 – 2009
- 2009
- [j28]Leslie Ikemoto, Okan Arikan, David A. Forsyth:
Generalizing motion edits with Gaussian processes. ACM Trans. Graph. 28(1): 1:1-1:12 (2009) - [c109]Gang Wang, Derek Hoiem, David A. Forsyth:
Building text features for object image classification. CVPR 2009: 1367-1374 - [c108]Ali Farhadi, Ian Endres, Derek Hoiem, David A. Forsyth:
Describing objects by their attributes. CVPR 2009: 1778-1785 - [c107]Gang Wang, Derek Hoiem, David A. Forsyth:
Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines. ICCV 2009: 428-435 - [c106]Gang Wang, David A. Forsyth:
Joint learning of visual attributes, object classes and visual saliency. ICCV 2009: 537-544 - [c105]Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, David A. Forsyth:
A latent model of discriminative aspect. ICCV 2009: 948-955 - [c104]Nicolas Loeff, Ali Farhadi, Ian Endres, David A. Forsyth:
Unlabeled data improvesword prediction. ICCV 2009: 956-962 - [c103]Varsha Hedau, Derek Hoiem, David A. Forsyth:
Recovering the spatial layout of cluttered rooms. ICCV 2009: 1849-1856 - [c102]Anna Paviotti, David A. Forsyth:
A lightness recovery algorithm for the multispectral acquisition of frescoed environments. ICCV Workshops 2009: 970-977 - [c101]Anna Paviotti, David A. Forsyth:
Lightness recovery for pictorial surfaces. ICCV Workshops 2009: 1931-1938 - [p1]David A. Forsyth:
Foreword. Multi-Camera Networks 2009: xvii-xix - 2008
- [j27]Nazli Ikizler, David A. Forsyth:
Searching for Complex Human Activities with No Visual Examples. Int. J. Comput. Vis. 80(3): 337-357 (2008) - [c100]Alexander Sorokin, David A. Forsyth:
Utility data annotation with Amazon Mechanical Turk. CVPR Workshops 2008: 1-8 - [c99]Gang Wang, David A. Forsyth:
Object image retrieval by exploiting online knowledge resources. CVPR 2008 - [c98]Nicolas Loeff, David A. Forsyth, Deepak Ramachandran:
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning. ICML 2008: 600-607 - [e6]David A. Forsyth, Philip H. S. Torr, Andrew Zisserman:
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5302, Springer 2008, ISBN 978-3-540-88681-5 [contents] - [e5]David A. Forsyth, Philip H. S. Torr, Andrew Zisserman:
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5303, Springer 2008, ISBN 978-3-540-88685-3 [contents] - [e4]David A. Forsyth, Philip H. S. Torr, Andrew Zisserman:
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part III. Lecture Notes in Computer Science 5304, Springer 2008, ISBN 978-3-540-88689-1 [contents] - [e3]David A. Forsyth, Philip H. S. Torr, Andrew Zisserman:
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part IV. Lecture Notes in Computer Science 5305, Springer 2008, ISBN 978-3-540-88692-1 [contents] - 2007
- [j26]Deva Ramanan, David A. Forsyth, Andrew Zisserman:
Tracking People by Learning Their Appearance. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 65-81 (2007) - [j25]Ryan White, Keenan Crane, David A. Forsyth:
Capturing and animating occluded cloth. ACM Trans. Graph. 26(3): 34 (2007) - [c97]Himanshu Arora, Nicolas Loeff, David A. Forsyth, Narendra Ahuja:
Unsupervised Segmentation of Objects using Efficient Learning. CVPR 2007 - [c96]Ali Farhadi, David A. Forsyth, Ryan White:
Transfer Learning in Sign language. CVPR 2007 - [c95]Nazli Ikizler, David A. Forsyth:
Searching Video for Complex Activities with Finite State Models. CVPR 2007 - [c94]Duan Tran, David A. Forsyth:
Configuration Estimates Improve Pedestrian Finding. NIPS 2007: 1529-1536 - [c93]Leslie Ikemoto, Okan Arikan, David A. Forsyth:
Quick transitions with cached multi-way blends. SI3D 2007: 145-151 - [c92]Ryan White, Keenan Crane, David A. Forsyth:
Data driven cloth animation. SIGGRAPH Sketches 2007: 37 - 2006
- [j24]Denis A. Hughes, David A. Forsyth:
A generic database and spatial interface for the application of hydrological and water resource models. Comput. Geosci. 32(9): 1389-1402 (2006) - [j23]Anthony Lobay, David A. Forsyth:
Shape from Texture without Boundaries. Int. J. Comput. Vis. 67(1): 71-91 (2006) - [j22]Deva Ramanan, David A. Forsyth, Kobus Barnard:
Building Models of Animals from Video. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1319-1334 (2006) - [c91]Nicolas Loeff, Cecilia Ovesdotter Alm, David A. Forsyth:
Discriminating Image Senses by Clustering with Multimodal Features. ACL 2006 - [c90]Jean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman:
Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 2006: 29-48 - [c89]Pinar Duygulu, Muhammet Bastan, David A. Forsyth:
Translating Images to Words for Recognizing Objects in Large Image and Video Collections. Toward Category-Level Object Recognition 2006: 258-276 - [c88]Jim Chan, Celal Ziftci, David A. Forsyth:
Searching Off-line Arabic Documents. CVPR (2) 2006: 1455-1462 - [c87]Tamara L. Berg, David A. Forsyth:
Animals on the Web. CVPR (2) 2006: 1463-1470 - [c86]Ali Farhadi, David A. Forsyth:
Aligning ASL for Statistical Translation Using a Discriminative Word Model. CVPR (2) 2006: 1471-1476 - [c85]Ryan White, David A. Forsyth:
Combining Cues: Shape from Shading and Texture. CVPR (2) 2006: 1809-1816 - [c84]Ryan White, David A. Forsyth:
Retexturing Single Views Using Texture and Shading. ECCV (4) 2006: 70-81 - [c83]Leslie Ikemoto, Okan Arikan, David A. Forsyth:
Knowing when to put your foot down. SI3D 2006: 49-53 - [c82]Leslie Ikemoto, Okan Arikan, David A. Forsyth:
Quick transitions using multi-way blends. SIGGRAPH Sketches 2006: 31 - 2005
- [j21]David A. Forsyth, Okan Arikan, Leslie Ikemoto, James F. O'Brien, Deva Ramanan:
Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis. Found. Trends Comput. Graph. Vis. 1(2/3) (2005) - [j20]Okan Arikan, David A. Forsyth, James F. O'Brien:
Fast and detailed approximate global illumination by irradiance decomposition. ACM Trans. Graph. 24(3): 1108-1114 (2005) - [c81]David A. Forsyth:
Looking at People. CRV 2005 - [c80]Deva Ramanan, David A. Forsyth, Andrew Zisserman:
Strike a Pose: Tracking People by Finding Stylized Poses. CVPR (1) 2005: 271-278 - [c79]Deva Ramanan, David A. Forsyth, Kobus Barnard:
Detecting, Localizing and Recovering Kinematics of Textured Animals. CVPR (2) 2005: 635-642 - [c78]Adam G. Kirk, James F. O'Brien, David A. Forsyth:
Skeletal Parameter Estimation from Optical Motion Capture Data. CVPR (2) 2005: 782-788 - [c77]Kenton McHenry, Jean Ponce, David A. Forsyth:
Finding Glass. CVPR (2) 2005: 973-979 - [c76]Adam G. Kirk, James F. O'Brien, David A. Forsyth:
Skeletal Parameter Estimation from Optical Motion Capture Data. CVPR (2) 2005: 1185 - [c75]Deva Ramanan, David A. Forsyth, Andrew Zisserman:
Tracking People and Recognizing Their Activities. CVPR (2) 2005: 1194 - [c74]Jaety Edwards, David A. Forsyth:
Searching for Character Models. NIPS 2005: 331-338 - [c73]Nicolas Loeff, Himanshu Arora, Alexander Sorokin, David A. Forsyth:
Efficient Unsupervised Learning for Localization and Detection in Object Categories. NIPS 2005: 811-818 - [c72]Okan Arikan, David A. Forsyth, James F. O'Brien:
Pushing people around. Symposium on Computer Animation 2005: 59-66 - [c71]Ryan White, Anthony Lobay, David A. Forsyth:
Cloth capture. SIGGRAPH Sketches 2005: 37 - [c70]Leslie Ikemoto, Okan Arikan, David A. Forsyth:
Learning to move autonomously in a hostile world. SIGGRAPH Sketches 2005: 46 - [c69]Wei Yan, David A. Forsyth:
Learning the Behavior of Users in a Public Space through Video Tracking. WACV/MOTION 2005: 370-377 - 2004
- [c68]Anthony Lobay, David A. Forsyth:
Recovering Shape and Irradiance Maps from Rich Dense Texton Fields. CVPR (1) 2004: 400-406 - [c67]Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth:
Names and Faces in the News. CVPR (2) 2004: 848-854 - [c66]Pinar Duygulu, Jia-Yu Pan, David A. Forsyth:
Towards auto-documentary: tracking the evolution of news stories. ACM Multimedia 2004: 820-827 - [c65]Tamara L. Berg, Alexander C. Berg, Jaety Edwards, David A. Forsyth:
Whos In the Picture. NIPS 2004: 137-144 - [c64]Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom:
Making Latin Manuscripts Searchable using gHMMs. NIPS 2004: 385-392 - [c63]Leslie Ikemoto, David A. Forsyth:
Enriching a motion collection by transplanting limbs. Symposium on Computer Animation 2004: 99-108 - [c62]Adam G. Kirk, James F. O'Brien, David A. Forsyth:
Skeletal parameter estimation from optical motion capture data. SIGGRAPH Sketches 2004: 29 - [c61]Okan Arikan, David A. Forsyth, James F. O'Brien:
Radiance caching and local geometry correction. SIGGRAPH Sketches 2004: 74 - 2003
- [j19]Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan:
Matching Words and Pictures. J. Mach. Learn. Res. 3: 1107-1135 (2003) - [j18]Okan Arikan, David A. Forsyth, James F. O'Brien:
Motion synthesis from annotations. ACM Trans. Graph. 22(3): 402-408 (2003) - [c60]Deva Ramanan, David A. Forsyth:
Finding and Tracking People from the Bottom Up. CVPR (2) 2003: 467-474 - [c59]Kobus Barnard, Pinar Duygulu, Raghavendra Guru, Prasad Gabbur, David A. Forsyth:
The Effects of Segmentation and Feature Choice in a Translation Model of Object Recognition. CVPR (2) 2003: 675-684 - [c58]Deva Ramanan, David A. Forsyth:
Using Temporal Coherence to Build Models of Animals. ICCV 2003: 338-345 - [c57]Deva Ramanan, David A. Forsyth:
Automatic Annotation of Everyday Movements. NIPS 2003: 1547-1554 - 2002
- [j17]Okan Arikan, David A. Forsyth:
Interactive motion generation from examples. ACM Trans. Graph. 21(3): 483-490 (2002) - [c56]Kobus Barnard, Pinar Duygulu, David A. Forsyth:
Modeling the statistics of image features and associated text. Document Recognition and Retrieval 2002: 1-11 - [c55]Pinar Duygulu, Kobus Barnard, João F. G. de Freitas, David A. Forsyth:
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary. ECCV (4) 2002: 97-112 - [c54]David A. Forsyth:
Shape from Texture without Boundaries. ECCV (3) 2002: 225-239 - [c53]David L. Parks, David A. Forsyth:
Improved Integration for Cloth Simulation. Eurographics (Short Presentations) 2002 - [c52]David A. Forsyth:
Benchmarks for storage and retrieval in multimedia databases. Storage and Retrieval for Media Databases 2002: 240-247 - 2001
- [j16]David A. Forsyth, John A. Haddon, Sergey Ioffe:
The Joy of Sampling. Int. J. Comput. Vis. 41(1/2): 109-134 (2001) - [j15]Sergey Ioffe, David A. Forsyth:
Probabilistic Methods for Finding People. Int. J. Comput. Vis. 43(1): 45-68 (2001) - [c51]Sergey Ioffe, David A. Forsyth:
Mixtures of Trees for Object Recognition. CVPR (2) 2001: II:180-185 - [c50]Kobus Barnard, Pinar Duygulu, David A. Forsyth:
Clustering Art. CVPR (2) 2001: II:434-441 - [c49]Stephen Chenney, Okan Arikan, David A. Forsyth:
Proxy Simulations for Efficient Dynamics. Eurographics (Short Presentations) 2001 - [c48]Kobus Barnard, David A. Forsyth:
Learning the Semantics of Words and Pictures. ICCV 2001: 408-415 - [c47]David A. Forsyth:
Shape from Texture and Integrability. ICCV 2001: 447-453 - [c46]John A. Haddon, David A. Forsyth:
Noise in Bilinear Problems. ICCV 2001: 622-627 - [c45]Sergey Ioffe, David A. Forsyth:
Human Tracking with Mixtures of Trees. ICCV 2001: 690-695 - [c44]Kobus Barnard, David A. Forsyth:
Exploiting image semantics for picture libraries. JCDL 2001: 469 - 2000
- [c43]Oliver D. King, David A. Forsyth:
How Does CONDENSATION Behave with a Finite Number of Samples? ECCV (1) 2000: 695-709 - [c42]Stephen Chenney, David A. Forsyth:
Sampling plausible solutions to multi-body constraint problems. SIGGRAPH 2000: 219-228
1990 – 1999
- 1999
- [j14]Franklin S. Cho, David A. Forsyth:
Interactive ray tracing with the visibility complex. Comput. Graph. 23(5): 703-717 (1999) - [j13]Stephen Chenney, Jeffrey Ichnowski, David A. Forsyth:
Dynamics Modeling and Culling. IEEE Computer Graphics and Applications 19(2): 79-87 (1999) - [j12]David A. Forsyth, Margaret M. Fleck:
Automatic Detection of Human Nudes. Int. J. Comput. Vis. 32(1): 63-77 (1999) - [j11]David A. Forsyth:
Computer Vision Tools for Finding Images and Video Sequences. Libr. Trends 48(2) (1999) - [c41]David A. Forsyth:
Sampling, Resampling and Colour Constancy. CVPR 1999: 1300-1305 - [c40]David A. Forsyth, Sergey Ioffe, John A. Haddon:
Bayesian Structure from Motion. ICCV 1999: 660-665 - [c39]Sergey Ioffe, David A. Forsyth:
Finding People by Sampling. ICCV 1999: 1092-1097 - [c38]David A. Forsyth, Joseph L. Mundy:
Introduction. Shape, Contour and Grouping in Computer Vision 1999: 3-8 - [c37]David A. Forsyth:
An Empirical-Statistical Agenda for Recognition. Shape, Contour and Grouping in Computer Vision 1999: 9-21 - [c36]David A. Forsyth, John A. Haddon, Sergey Ioffe:
Finding Objects by Grouping Primitives. Shape, Contour and Grouping in Computer Vision 1999: 302-318 - [e2]David A. Forsyth, Joseph L. Mundy, Vito Di Gesù, Roberto Cipolla:
Shape, Contour and Grouping in Computer Vision. Lecture Notes in Computer Science 1681, Springer 1999, ISBN 3-540-66722-9 [contents] - 1998
- [c35]John A. Haddon, David A. Forsyth:
Shape Representations from Shading Primitives. ECCV (2) 1998: 415-431 - [c34]John A. Haddon, David A. Forsyth:
Shading Primitives: Finding Folds and Shallow Grooves. ICCV 1998: 236-241 - [c33]Sergey Ioffe, David A. Forsyth:
Learning to Find Pictures of People. NIPS 1998: 782-788 - [c32]Stephen Chenney, Jeffrey Ichnowski, David A. Forsyth:
Efficient Dynamics Modeling for VRML and Java. VRML 1998: 15-24 - 1997
- [c31]David A. Forsyth, Margaret M. Fleck:
Body plans. CVPR 1997: 678-683 - [c30]David A. Forsyth, Margaret M. Fleck:
Finding People and Animals by Guided Assembly. ICIP (3) 1997: 5-8 - [c29]Stephen Chenney, David A. Forsyth:
View-Dependent Culling of Dynamic Systems in Virtual Environments. SI3D 1997: 55-58 - 1996
- [j10]David A. Forsyth:
Recognizing algebraic surfaces from their outlines. Int. J. Comput. Vis. 18(1): 21-40 (1996) - [c28]David A. Forsyth, Jitendra Malik, Thomas K. Leung, Christoph Bregler, Chad Carson, Hayit Greenspan, Margaret M. Fleck:
Finding Pictures of Objects in Large Collections of Images. Data Processing Clinic 1996 - [c27]David A. Forsyth, Jitendra Malik, Margaret M. Fleck, Hayit Greenspan, Thomas K. Leung, Serge J. Belongie, Chad Carson, Christoph Bregler:
Finding Pictures of Objects in Large Collections of Images. Object Representation in Computer Vision 1996: 335-360 - [c26]Margaret M. Fleck, David A. Forsyth, Christoph Bregler:
Finding Naked People. ECCV (2) 1996: 593-602 - [c25]Jitendra Malik, David A. Forsyth, Margaret M. Fleck, Hayit Greenspan, Thomas K. Leung, Chad Carson, Serge J. Belongie, Christoph Bregler:
Finding objects in image databases by grouping. ICIP (2) 1996: 761-764 - [c24]David A. Forsyth, Margaret M. Fleck:
Identifying nude pictures. WACV 1996: 103-108 - 1995
- [j9]Andrew Zisserman, David A. Forsyth, Joseph L. Mundy, Charlie Rothwell, Jane Liu, Nic Pillow:
3D Object Recognition Using Invariance. Artif. Intell. 78(1-2): 239-288 (1995) - [j8]Charlie Rothwell, Andrew Zisserman, David A. Forsyth, Joseph L. Mundy:
Planar object recognition using projective shape representation. Int. J. Comput. Vis. 16(1): 57-99 (1995) - [c23]Joseph L. Mundy, Rupert W. Curwen, Jane Liu, Charlie Rothwell, Andrew Zisserman, David A. Forsyth:
MORSE: An Architecture for 3D Object Recognition Based on Invariants. ACCV 1995: 425-434 - [c22]Andrew Zisserman, Joseph L. Mundy, David A. Forsyth, Jane Liu, Nic Pillow, Charlie Rothwell, Sven Utcke:
Class-Based Grouping in Perspective Images. ICCV 1995: 183-188 - 1994
- [c21]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:
Object representation for object recognition. CVPR 1994: 147-152 - [c20]David A. Forsyth, Joe L. Mundy, Andrew Zisserman, Charlie Rothwell:
Using global consistency to recognise Euclidean objects with an uncalibrated camera. CVPR 1994: 502-507 - [c19]David A. Forsyth, Andrew Zisserman, Jitendra Malik:
Distinctive Representations for the Recognition of Curved Surfaces Using Outlines and Markings. Object Representation in Computer Vision 1994: 89-99 - [e1]Joseph L. Mundy, Andrew Zisserman, David A. Forsyth:
Applications of Invariance in Computer Vision, Second Joint European - US Workshop, Ponta Delgada, Azores, Portugal, October 9-14, 1993, Proceedings. Lecture Notes in Computer Science 825, Springer 1994, ISBN 3-540-58240-1 [contents] - 1993
- [c18]Joseph L. Mundy, Andrew Zisserman, David A. Forsyth:
Introduction and Chapter Summary. Applications of Invariance in Computer Vision 1993: 3-8 - [c17]David A. Forsyth, Charlie Rothwell:
Representations of 3D Objects that Incorporate Surface Markings. Applications of Invariance in Computer Vision 1993: 341-357 - [c16]Jane Liu, Joe L. Mundy, David A. Forsyth, Andrew Zisserman, Charlie Rothwell:
Efficient recognition of rotationally symmetric surfaces and straight homogeneous generalized cylinders. CVPR 1993: 123-128 - [c15]David A. Forsyth:
Recognizing algebraic surfaces from their outlines. ICCV 1993: 476-480 - [c14]Charlie Rothwell, David A. Forsyth, Andrew Zisserman, Joseph L. Mundy:
Extracting projective structure from single perspective views of 3D point sets. ICCV 1993: 573-582 - 1992
- [j7]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman:
Transformational invariance - a primer. Image Vis. Comput. 10(1): 39-45 (1992) - [j6]Charlie Rothwell, Andrew Zisserman, Constantinos Marinos, David A. Forsyth, Joseph L. Mundy:
Relative motion and pose from arbitrary plane curves. Image Vis. Comput. 10(4): 250-262 (1992) - [c13]Charlie Rothwell, Andrew Zisserman, Joe L. Mundy, David A. Forsyth:
Efficient model library access by projectively invariant indexing functions. CVPR 1992: 109-114 - [c12]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Charlie Rothwell:
Recognising rotationally symmetric surfaces from their outlines. ECCV 1992: 639-647 - [c11]Charlie Rothwell, Andrew Zisserman, David A. Forsyth, Joseph L. Mundy:
Canonical Frames for Planar Object Recognition. ECCV 1992: 757-772 - [c10]David A. Forsyth:
The Outline of an Algebraic Surface Yields the Surface. IMA Conference on the Mathematics of Surfaces 1992: 413-432 - 1991
- [j5]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Christopher M. Brown:
Projectively invariant representations using implicit algebraic curves. Image Vis. Comput. 9(2): 130-136 (1991) - [j4]David A. Forsyth, Andrew Zisserman:
Reflections on Shading. IEEE Trans. Pattern Anal. Mach. Intell. 13(7): 671-679 (1991) - [j3]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Chris Coelho, Aaron Heller, Charlie Rothwell:
Invariant Descriptors for 3D Object Recognition and Pose. IEEE Trans. Pattern Anal. Mach. Intell. 13(10): 971-991 (1991) - [c9]Charlie Rothwell, Andrew Zisserman, David A. Forsyth, Joseph L. Mundy:
Using Projective Invariants for Constant Time Library Indexing in Model Based Vision. BMVC 1991: 1-9 - 1990
- [j2]David A. Forsyth:
A novel algorithm for color constancy. Int. J. Comput. Vis. 5(1): 5-35 (1990) - [j1]David A. Forsyth, Andrew Zisserman:
Shape from shading in the light of mutual illumination. Image Vis. Comput. 8(1): 42-49 (1990) - [c8]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman:
Transformational invariance - a primer. BMVC 1990: 1-6 - [c7]Andrew Zisserman, Constantinos Marinos, David A. Forsyth, Joseph L. Mundy, Charlie Rothwell:
Relative motion and pose from invariants. BMVC 1990: 1-6 - [c6]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Christopher M. Brown:
Projectively Invariant Representations Using Implicit Algebraic Curves. ECCV 1990: 427-436 - [c5]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Christopher M. Brown:
Invariance-a new framework for vision. ICCV 1990: 598-605
1980 – 1989
- 1989
- [c4]David A. Forsyth, Andrew Zisserman:
Shape from Shading in the Light of Mutual Illumination. Alvey Vision Conference 1989: 1-6 - [c3]David A. Forsyth, Andrew Zisserman:
Mutual illumination. CVPR 1989: 466-473 - 1988
- [b1]David A. Forsyth:
Colour constancy and its applications in machine vision. University of Oxford, UK, 1988 - [c2]David A. Forsyth:
A Novel Approach To Colour Constancy. ICCV 1988: 9-18 - 1987
- [c1]David A. Forsyth:
A System for Finding Changes in Colour. Alvey Vision Conference 1987: 1-10
Coauthor Index
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