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ORCIDDavid A. Forsyth
David Alexander Forsyth
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- affiliation: University of Illinois, USA
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2020 – today
- 2022
[j56]David A. Forsyth
, Jason J. Rock:
Intrinsic Image Decomposition Using Paradigms. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7624-7637 (2022)- [c157]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 - [c156]Min Jin Chong, David A. Forsyth:
JoJoGAN: One Shot Face Stylization. ECCV (16) 2022: 128-152 - [c155]Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang:
On the Importance of Firth Bias Reduction in Few-Shot Classification. ICLR 2022 - [c154]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 - [c153]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 - [i44]Anand Bhattad, David A. Forsyth:
Enriching StyleGAN with Illumination Physics. CoRR abs/2205.10351 (2022) - [i43]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) - [i42]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) - [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
- [c152]Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, David A. Forsyth:
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval. ICCV 2021: 3867-3876 - [c151]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 - [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]