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David Jacobs 0001
Person information
- affiliation: University of Maryland, Department of Computer Science, College Park, USA
- affiliation (former): NEC Research Institute, Princeton, NJ, USA
- affiliation (former, PhD): Massachusetts Institute of Technology (MIT), Artificial Intelligence Laboratory, Cambridge, MA, USA
Other persons with the same name
- David Jacobs — disambiguation page
- David Jacobs 0002 — Flinders University of South Australia, Department of Computer Science, Adelaide, SA, Australia
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2020 – today
- 2024
- [i50]Jiaye Wu, Saeed Hadadan, Geng Lin, Matthias Zwicker, David Jacobs, Roni Sengupta:
GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering. CoRR abs/2403.15651 (2024) - [i49]Ruchit Rawal, Khalid Saifullah, Ronen Basri, David Jacobs, Gowthami Somepalli, Tom Goldstein:
CinePile: A Long Video Question Answering Dataset and Benchmark. CoRR abs/2405.08813 (2024) - [i48]David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Rethinking Score Distillation as a Bridge Between Image Distributions. CoRR abs/2406.09417 (2024) - 2023
- [c102]Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs:
Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CVPR 2023: 6840-6849 - [c101]Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CVPR 2023: 18846-18856 - [c100]Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja, David Jacobs, Soumyadip Sengupta:
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation. ICCP 2023: 1-12 - [c99]Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs:
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. ICCV 2023: 4134-4145 - [c98]Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji:
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. ICCV 2023: 22873-22884 - [i47]Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs:
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. CoRR abs/2303.12343 (2023) - [i46]Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CoRR abs/2304.00387 (2023) - [i45]Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji:
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. CoRR abs/2305.10474 (2023) - [i44]Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja, David Jacobs, Soumyadip Sengupta:
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation. CoRR abs/2306.15662 (2023) - 2022
- [j43]Soumyadip Sengupta, Daniel Lichy, Angjoo Kanazawa, Carlos Domingo Castillo, David W. Jacobs:
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3272-3284 (2022) - [j42]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-aware Cropping for Self-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c97]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs:
Learning visual representations for transfer learning by suppressing texture. BMVC 2022: 300 - [c96]Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein:
Poisons that are learned faster are more effective. CVPR Workshops 2022: 197-204 - [c95]Daniel Lichy, Soumyadip Sengupta, David W. Jacobs:
Fast Light-Weight Near-Field Photometric Stereo. CVPR 2022: 12602-12611 - [c94]Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh:
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. ECCV (17) 2022: 102-118 - [c93]Shlok Kumar Mishra, Kuntal Sengupta, Wen-Sheng Chu, Max Horowitz-Gelb, Sofien Bouaziz, David Jacobs:
Improved Presentation Attack Detection Using Image Decomposition. IJCB 2022: 1-10 - [c92]Amnon Geifman, Meirav Galun, David Jacobs, Ronen Basri:
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels. NeurIPS 2022 - [c91]Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David Jacobs:
Autoregressive Perturbations for Data Poisoning. NeurIPS 2022 - [i43]Amnon Geifman, Meirav Galun, David Jacobs, Ronen Basri:
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels. CoRR abs/2203.09255 (2022) - [i42]Daniel Lichy, Soumyadip Sengupta, David W. Jacobs:
Fast Light-Weight Near-Field Photometric Stereo. CoRR abs/2203.16515 (2022) - [i41]Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh:
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. CoRR abs/2204.03638 (2022) - [i40]Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein:
Poisons that are learned faster are more effective. CoRR abs/2204.08615 (2022) - [i39]Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David W. Jacobs:
Autoregressive Perturbations for Data Poisoning. CoRR abs/2206.03693 (2022) - [i38]Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan:
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. CoRR abs/2210.16870 (2022) - [i37]Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs:
Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CoRR abs/2212.00653 (2022) - 2021
- [c90]Daniel Lichy, Jiaye Wu, Soumyadip Sengupta, David W. Jacobs:
Shape and Material Capture at Home. CVPR 2021: 6123-6133 - [c89]Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs:
Low Curvature Activations Reduce Overfitting in Adversarial Training. ICCV 2021: 16403-16413 - [c88]Vasu Singla, Songwei Ge, Ronen Basri, David W. Jacobs:
Shift Invariance Can Reduce Adversarial Robustness. NeurIPS 2021: 1858-1871 - [c87]Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs:
Robust Contrastive Learning Using Negative Samples with Diminished Semantics. NeurIPS 2021: 27356-27368 - [i36]Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi:
Low Curvature Activations Reduce Overfitting in Adversarial Training. CoRR abs/2102.07861 (2021) - [i35]Songwei Ge, Vasu Singla, Ronen Basri, David Jacobs:
Shift Invariance Can Reduce Adversarial Robustness. CoRR abs/2103.02695 (2021) - [i34]Shlok Kumar Mishra, Kuntal Sengupta, Max Horowitz-Gelb, Wen-Sheng Chu, Sofien Bouaziz, David Jacobs:
Improved Detection of Face Presentation Attacks Using Image Decomposition. CoRR abs/2103.12201 (2021) - [i33]Daniel Lichy, Jiaye Wu, Soumyadip Sengupta, David W. Jacobs:
Shape and Material Capture at Home. CoRR abs/2104.06397 (2021) - [i32]Songwei Ge, Shlok Mishra, Haohan Wang, Chun-Liang Li, David Jacobs:
Robust Contrastive Learning Using Negative Samples with Diminished Semantics. CoRR abs/2110.14189 (2021) - [i31]Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-Aware Cropping for Self-Supervised Learning. CoRR abs/2112.00319 (2021) - 2020
- [c86]Abhay Kumar Yadav, Tom Goldstein, David W. Jacobs:
Making L-BFGS Work with Industrial-Strength Nets. BMVC 2020 - [c85]Koutilya PNVR, Hao Zhou, David Jacobs:
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation. CVPR 2020: 13971-13980 - [c84]Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein:
Adversarially robust transfer learning. ICLR 2020 - [c83]Ronen Basri, Meirav Galun, Amnon Geifman, David W. Jacobs, Yoni Kasten, Shira Kritchman:
Frequency Bias in Neural Networks for Input of Non-Uniform Density. ICML 2020: 685-694 - [c82]Amnon Geifman, Abhay Kumar Yadav, Yoni Kasten, Meirav Galun, David W. Jacobs, Ronen Basri:
On the Similarity between the Laplace and Neural Tangent Kernels. NeurIPS 2020 - [i30]Ronen Basri, Meirav Galun, Amnon Geifman, David W. Jacobs, Yoni Kasten, Shira Kritchman:
Frequency Bias in Neural Networks for Input of Non-Uniform Density. CoRR abs/2003.04560 (2020) - [i29]Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III:
Towards Automatic Generation of Questions from Long Answers. CoRR abs/2004.05109 (2020) - [i28]Koutilya PNVR, Hao Zhou, David Jacobs:
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation. CoRR abs/2006.04026 (2020) - [i27]Amnon Geifman, Abhay Kumar Yadav, Yoni Kasten, Meirav Galun, David W. Jacobs, Ronen Basri:
On the Similarity between the Laplace and Neural Tangent Kernels. CoRR abs/2007.01580 (2020) - [i26]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs:
Learning Visual Representations for Transfer Learning by Suppressing Texture. CoRR abs/2011.01901 (2020)
2010 – 2019
- 2019
- [c81]Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, David Jacobs:
Deep Single-Image Portrait Relighting. ICCV 2019: 7193-7201 - [c80]Hao Zhou, Xiang Yu, David Jacobs:
GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition. ICCV 2019: 7819-7828 - [c79]Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz:
Neural Inverse Rendering of an Indoor Scene From a Single Image. ICCV 2019: 8597-8606 - [c78]Ronen Basri, David W. Jacobs, Yoni Kasten, Shira Kritchman:
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies. NeurIPS 2019: 4763-4772 - [i25]Ryen Krusinga, Sohil Shah, Matthias Zwicker, Tom Goldstein, David W. Jacobs:
Understanding the (un)interpretability of natural image distributions using generative models. CoRR abs/1901.01499 (2019) - [i24]Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz:
Neural Inverse Rendering of an Indoor Scene from a Single Image. CoRR abs/1901.02453 (2019) - [i23]Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein:
Adversarially robust transfer learning. CoRR abs/1905.08232 (2019) - [i22]Ronen Basri, David W. Jacobs, Yoni Kasten, Shira Kritchman:
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies. CoRR abs/1906.00425 (2019) - 2018
- [j41]Soumyadip Sengupta, Hao Zhou, Walter Forkel, Ronen Basri, Tom Goldstein, David W. Jacobs:
Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability. J. Math. Imaging Vis. 60(4): 563-575 (2018) - [c77]Hao Zhou, Jin Sun, Yaser Yacoob, David W. Jacobs:
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces. CVPR 2018: 6238-6247 - [c76]Soumyadip Sengupta, Angjoo Kanazawa, Carlos Domingo Castillo, David W. Jacobs:
SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'. CVPR 2018: 6296-6305 - [c75]Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-End Recovery of Human Shape and Pose. CVPR 2018: 7122-7131 - [c74]Abhay Kumar Yadav, Sohil Shah, Zheng Xu, David W. Jacobs, Tom Goldstein:
Stabilizing Adversarial Nets with Prediction Methods. ICLR (Poster) 2018 - 2017
- [j40]Konrad Simon, Sameer Sheorey, David W. Jacobs, Ronen Basri:
A Hyperelastic Two-Scale Optimization Model for Shape Matching. SIAM J. Sci. Comput. 39(1) (2017) - [c73]Soham De, Abhay Kumar Yadav, David W. Jacobs, Tom Goldstein:
Automated Inference with Adaptive Batches. AISTATS 2017: 1504-1513 - [c72]Jin Sun, David W. Jacobs:
Seeing What is Not There: Learning Context to Determine Where Objects are Missing. CVPR 2017: 1234-1242 - [c71]Soumyadip Sengupta, Tal Amir, Meirav Galun, Tom Goldstein, David W. Jacobs, Amit Singer, Ronen Basri:
A New Rank Constraint on Multi-view Fundamental Matrices, and Its Application to Camera Location Recovery. CVPR 2017: 2413-2421 - [c70]Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black:
3D Menagerie: Modeling the 3D Shape and Pose of Animals. CVPR 2017: 5524-5532 - [c69]Ronen Basri, David W. Jacobs:
Efficient Representation of Low-Dimensional Manifolds using Deep Networks. ICLR (Poster) 2017 - [i21]Soumyadip Sengupta, Hao Zhou, Walter Forkel, Ronen Basri, Tom Goldstein, David W. Jacobs:
Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability. CoRR abs/1702.00506 (2017) - [i20]Soumyadip Sengupta, Tal Amir, Meirav Galun, Tom Goldstein, David W. Jacobs, Amit Singer, Ronen Basri:
A New Rank Constraint on Multi-view Fundamental Matrices, and its Application to Camera Location Recovery. CoRR abs/1702.03023 (2017) - [i19]Jin Sun, David W. Jacobs:
Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing. CoRR abs/1702.07971 (2017) - [i18]Abhay Kumar Yadav, Sohil Shah, Zheng Xu, David W. Jacobs, Tom Goldstein:
Stabilizing Adversarial Nets With Prediction Methods. CoRR abs/1705.07364 (2017) - [i17]Hao Zhou, Jin Sun, Yaser Yacoob, David W. Jacobs:
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images. CoRR abs/1709.01993 (2017) - [i16]Soumyadip Sengupta, Angjoo Kanazawa, Carlos Domingo Castillo, David W. Jacobs:
SfSNet : Learning Shape, Reflectance and Illuminance of Faces in the Wild. CoRR abs/1712.01261 (2017) - [i15]Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-end Recovery of Human Shape and Pose. CoRR abs/1712.06584 (2017) - 2016
- [j39]Angjoo Kanazawa, Shahar Z. Kovalsky, Ronen Basri, David W. Jacobs:
Learning 3D Deformation of Animals from 2D Images. Comput. Graph. Forum 35(2): 365-374 (2016) - [c68]Angjoo Kanazawa, David W. Jacobs, Manmohan Chandraker:
WarpNet: Weakly Supervised Matching for Single-View Reconstruction. CVPR 2016: 3253-3261 - [c67]Sohil Shah, Abhay Kumar Yadav, Carlos Domingo Castillo, David W. Jacobs, Christoph Studer, Tom Goldstein:
Biconvex Relaxation for Semidefinite Programming in Computer Vision. ECCV (6) 2016: 717-735 - [c66]Hao Zhou, Torsten Sattler, David W. Jacobs:
Evaluating Local Features for Day-Night Matching. ECCV Workshops (3) 2016: 724-736 - [c65]Soumyadip Sengupta, Jun-Cheng Chen, Carlos Domingo Castillo, Vishal M. Patel, Rama Chellappa, David W. Jacobs:
Frontal to profile face verification in the wild. WACV 2016: 1-9 - [i14]Ronen Basri, David W. Jacobs:
Efficient Representation of Low-Dimensional Manifolds using Deep Networks. CoRR abs/1602.04723 (2016) - [i13]Angjoo Kanazawa, David W. Jacobs, Manmohan Chandraker:
WarpNet: Weakly Supervised Matching for Single-view Reconstruction. CoRR abs/1604.05592 (2016) - [i12]Sohil Shah, Abhay Kumar Yadav, David W. Jacobs, Christoph Studer, Tom Goldstein:
Biconvex Relaxation for Semidefinite Programming in Computer Vision. CoRR abs/1605.09527 (2016) - [i11]Soham De, Abhay Kumar Yadav, David W. Jacobs, Tom Goldstein:
Big Batch SGD: Automated Inference using Adaptive Batch Sizes. CoRR abs/1610.05792 (2016) - [i10]Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black:
3D Menagerie: Modeling the 3D shape and pose of animals. CoRR abs/1611.07700 (2016) - 2015
- [j38]Konrad Simon, Sameer Sheorey, David W. Jacobs, Ronen Basri:
A Linear Elastic Force Optimization Model for Shape Matching. J. Math. Imaging Vis. 51(2): 260-278 (2015) - [j37]Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd E. Zickler:
From Shading to Local Shape. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 67-79 (2015) - [c64]Arijit Biswas, David W. Jacobs:
An Efficient Algorithm for Learning Distances that Obey the Triangle Inequality. BMVC 2015: 10.1-10.13 - [c63]Abhishek Sharma, Oncel Tuzel, David W. Jacobs:
Deep hierarchical parsing for semantic segmentation. CVPR 2015: 530-538 - [r2]Carlos Domingo Castillo, David W. Jacobs:
Face Variation. Encyclopedia of Biometrics 2015: 538-545 - [i9]Raviteja Vemulapalli, David W. Jacobs:
Riemannian Metric Learning for Symmetric Positive Definite Matrices. CoRR abs/1501.02393 (2015) - [i8]Abhishek Sharma, Oncel Tuzel, David W. Jacobs:
Deep Hierarchical Parsing for Semantic Segmentation. CoRR abs/1503.02725 (2015) - [i7]Angjoo Kanazawa, Shahar Z. Kovalsky, Ronen Basri, David W. Jacobs:
Learning 3D Articulation and Deformation using 2D Images. CoRR abs/1507.07646 (2015) - [i6]Konrad Simon, Sameer Sheorey, David W. Jacobs, Ronen Basri:
A Hyperelastic Two-Scale Optimization Model for Shape Matching. CoRR abs/1507.07760 (2015) - 2014
- [j36]Arijit Biswas, David W. Jacobs:
Active subclustering. Comput. Vis. Image Underst. 125: 72-84 (2014) - [j35]Arijit Biswas, David W. Jacobs:
Active Image Clustering with Pairwise Constraints from Humans. Int. J. Comput. Vis. 108(1-2): 133-147 (2014) - [j34]Yaron Lipman, Stav Yagev, Roi Poranne, David W. Jacobs, Ronen Basri:
Feature Matching with Bounded Distortion. ACM Trans. Graph. 33(3): 26:1-26:14 (2014) - [c62]Thomas Berg, Jiongxin Liu, Seung Woo Lee, Michelle L. Alexander, David W. Jacobs, Peter N. Belhumeur:
Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds. CVPR 2014: 2019-2026 - [c61]Kotaro Hara, Jin Sun, Robert Moore, David W. Jacobs, Jon Froehlich:
Tohme: detecting curb ramps in google street view using crowdsourcing, computer vision, and machine learning. UIST 2014: 189-204 - [i5]Mohammad Rastegari, Shobeir Fakhraei, Jonghyun Choi, David W. Jacobs, Larry S. Davis:
Comparing apples to apples in the evaluation of binary coding methods. CoRR abs/1405.1005 (2014) - [i4]Angjoo Kanazawa, Abhishek Sharma, David W. Jacobs:
Locally Scale-Invariant Convolutional Neural Networks. CoRR abs/1412.5104 (2014) - 2013
- [j33]João V. B. Soares, David W. Jacobs:
Efficient segmentation of leaves in semi-controlled conditions. Mach. Vis. Appl. 24(8): 1623-1643 (2013) - [j32]Peter N. Belhumeur, David W. Jacobs, David J. Kriegman, Neeraj Kumar:
Localizing Parts of Faces Using a Consensus of Exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2930-2940 (2013) - [c60]Kotaro Hara, Jin Sun, Jonah Chazan, David W. Jacobs, Jon Froehlich:
An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification Using Google Street View Images. HCOMP (Works in Progress / Demos) 2013 - [p3]David Jacobs, Anne Jorstad, Alain Trouvé:
Deformations and Lighting. Shape Perception in Human and Computer Vision 2013: 133-144 - [i3]Chengxi Ye, Dacheng Tao, Mingli Song, David W. Jacobs, Min Wu:
Sparse Norm Filtering. CoRR abs/1305.3971 (2013) - [i2]Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd E. Zickler:
From Shading to Local Shape. CoRR abs/1310.2916 (2013) - 2012
- [j31]Abhishek Sharma, Murad Al Haj, Jonghyun Choi, Larry S. Davis, David W. Jacobs:
Robust pose invariant face recognition using coupled latent space discriminant analysis. Comput. Vis. Image Underst. 116(11): 1095-1110 (2012) - [c59]Dana Rotman, Jenny Preece, Jennifer Hammock, Kezee Procita, Derek L. Hansen, Cynthia Sims Parr, Darcy Lewis, David W. Jacobs:
Dynamic changes in motivation in collaborative citizen-science projects. CSCW 2012: 217-226 - [c58]Jonghyun Choi, Abhishek Sharma, David W. Jacobs, Larry S. Davis:
Data insufficiency in sketch versus photo face recognition. CVPR Workshops 2012: 1-8 - [c57]Arijit Biswas, David W. Jacobs:
Active image clustering: Seeking constraints from humans to complement algorithms. CVPR 2012: 2152-2159 - [c56]Abhishek Sharma, Abhishek Kumar, Hal Daumé III, David W. Jacobs:
Generalized Multiview Analysis: A discriminative latent space. CVPR 2012: 2160-2167 - [c55]Anne Jorstad, David Jacobs, Alain Trouvé:
A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics. ECCV (4) 2012: 71-84 - [c54]Jiongxin Liu, Angjoo Kanazawa, David W. Jacobs, Peter N. Belhumeur:
Dog Breed Classification Using Part Localization. ECCV (1) 2012: 172-185 - [c53]Neeraj Kumar, Peter N. Belhumeur, Arijit Biswas, David W. Jacobs, W. John Kress, Ida C. Lopez, João V. B. Soares:
Leafsnap: A Computer Vision System for Automatic Plant Species Identification. ECCV (2) 2012: 502-516 - [i1]Chengxi Ye, Yuxu Lin, Mingli Song, Chun Chen, David W. Jacobs:
Spectral Graph Cut from a Filtering Point of View. CoRR abs/1205.4450 (2012) - 2011
- [j30]Daozheng Chen, Mustafa Bilgic, Lise Getoor, David W. Jacobs:
Dynamic Processing Allocation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2174-2187 (2011) - [j29]Xue Mei, Haibin Ling, David W. Jacobs:
Illumination Recovery From Image With Cast Shadows Via Sparse Representation. IEEE Trans. Image Process. 20(8): 2366-2377 (2011) - [c52]Carlos Domingo Castillo, David W. Jacobs:
Wide-baseline stereo for face recognition with large pose variation. CVPR 2011: 537-544 - [c51]Peter N. Belhumeur, David W. Jacobs, David J. Kriegman, Neeraj Kumar:
Localizing parts of faces using a consensus of exemplars. CVPR 2011: 545-552 - [c50]Abhishek Sharma, David W. Jacobs:
Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch. CVPR 2011: 593-600 - [c49]Anne Jorstad, David Jacobs, Alain Trouvé:
A deformation and lighting insensitive metric for face recognition based on dense correspondences. CVPR 2011: 2353-2360 - [c48]Carlos Domingo Castillo, David W. Jacobs:
Trainable 3D recognition using stereo matching. ICCV Workshops 2011: 625-631 - [c47]Derek L. Hansen, David W. Jacobs, Darcy Lewis, Arijit Biswas, Jennifer Preece, Dana Rotman, Eric Stevens:
Odd Leaf Out: Improving Visual Recognition with Games. SocialCom/PASSAT 2011: 87-94 - [p2]Ronen Basri, David W. Jacobs:
Illumination Modeling for Face Recognition. Handbook of Face Recognition 2011: 169-195 - 2010
- [j28]Raghuraman Gopalan, David W. Jacobs:
Comparing and combining lighting insensitive approaches for face recognition. Comput. Vis. Image Underst. 114(1): 135-145 (2010) - [j27]Youngmin Kim, Amitabh Varshney, David W. Jacobs, François Guimbretière:
Mesh saliency and human eye fixations. ACM Trans. Appl. Percept. 7(2): 12:1-12:13 (2010) - [j26]Haibin Ling, Stefano Soatto, Narayanan Ramanathan, David W. Jacobs:
Face verification across age progression using discriminative methods. IEEE Trans. Inf. Forensics Secur. 5(1): 82-91 (2010)
2000 – 2009
- 2009
- [j25]Carlos Domingo Castillo, David W. Jacobs:
Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2298-2304 (2009) - [c46]Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshick, David W. Jacobs, Caroline J. Klivans:
Visibility constraints on features of 3D objects. CVPR 2009: 1231-1238 - [c45]Xue Mei, Haibin Ling, David W. Jacobs:
Sparse representation of cast shadows via l1-regularized least squares. ICCV 2009: 583-590 - [c44]Hazem El-Alfy, David W. Jacobs, Larry S. Davis:
Assigning cameras to subjects in video surveillance systems. ICRA 2009: 837-843 - [p1]Haibin Ling, David W. Jacobs:
Shape Matching for Foliage Database Retrieval. Semantic Mining Technologies for Multimedia Databases 2009: 100-129 - [r1]Carlos Domingo Castillo, David W. Jacobs:
Face Variation. Encyclopedia of Biometrics 2009: 388-394 - 2008
- [j24]Margarita Osadchy, David W. Jacobs, Ravi Ramamoorthi, David Tucker:
Using specularities in comparing 3D models and 2D images. Comput. Vis. Image Underst. 111(3): 275-294 (2008) - [c43]Sameer Shirdhonkar, David W. Jacobs:
Approximate earth mover's distance in linear time. CVPR 2008 - [c42]Peter N. Belhumeur, Daozheng Chen, Steven Feiner, David W. Jacobs, W. John Kress, Haibin Ling, Ida C. Lopez, Ravi Ramamoorthi, Sameer Sheorey, Sean White, Ling Zhang:
Searching the World's Herbaria: A System for Visual Identification of Plant Species. ECCV (4) 2008: 116-129 - [c41]Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, David W. Jacobs, Ramani Duraiswami, Larry S. Davis:
Tracking Down Under: Following the Satin Bowerbird. WACV 2008: 1-7 - 2007
- [j23]Ronen Basri, David W. Jacobs, Ira Kemelmacher:
Photometric Stereo with General, Unknown Lighting. Int. J. Comput. Vis. 72(3): 239-257 (2007) - [j22]Margarita Osadchy, David W. Jacobs, Michael Lindenbaum:
Surface Dependent Representations for Illumination Insensitive Image Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 98-111 (2007) - [j21]Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellappa, David W. Jacobs:
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 230-245 (2007) - [j20]Haibin Ling, David W. Jacobs:
Shape Classification Using the Inner-Distance. IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 286-299 (2007) - [c40]Carlos Domingo Castillo, David W. Jacobs:
Using Stereo Matching for 2-D Face Recognition Across Pose. CVPR 2007 - [c39]Li Yi, David W. Jacobs:
Efficiently Determining Silhouette Consistency. CVPR 2007 - [c38]Haibin Ling, Stefano Soatto, Narayanan Ramanathan, David W. Jacobs:
A Study of Face Recognition as People Age. ICCV 2007: 1-8 - [c37]Hazem El-Alfy, David W. Jacobs, Larry S. Davis:
Multi-scale video cropping. ACM Multimedia 2007: 97-106 - 2005
- [j19]Chang Ha Lee, Amitabh Varshney, David W. Jacobs:
Mesh saliency. ACM Trans. Graph. 24(3): 659-666 (2005) - [c36]Haibin Ling, David W. Jacobs:
Using the Inner-Distance for Classification of Articulated Shapes. CVPR (2) 2005: 719-726 - [c35]Sameer Shirdhonkar, David W. Jacobs:
Non-Negative Lighting and Specular Object Recognition. ICCV 2005: 1323-1330 - [c34]Haibin Ling, David W. Jacobs:
Deformation Invariant Image Matching. ICCV 2005: 1466-1473 - [c33]Margarita Osadchy, David W. Jacobs, Michael Lindenbaum:
On the Equivalence of Common Approaches to Lighting Insensitive Recognition. ICCV 2005: 1721-1726 - 2004
- [c32]Margarita Osadchy, Michael Lindenbaum, David W. Jacobs:
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination. ECCV (4) 2004: 217-228 - [c31]Shaohua Kevin Zhou, Rama Chellappa, David W. Jacobs:
Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints. ECCV (1) 2004: 588-601 - 2003
- [j18]Ronen Basri, David W. Jacobs:
Lambertian Reflectance and Linear Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 25(2): 218-233 (2003) - [j17]David W. Jacobs, Michael Lindenbaum:
Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 385-386 (2003) - [j16]David W. Jacobs, Michael Lindenbaum:
Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 641 (2003) - [c30]Margarita Osadchy, David W. Jacobs, Ravi Ramamoorthi:
Using Specularities for Recognition. ICCV 2003: 1512-1519 - [c29]Bongwon Suh, Haibin Ling, Benjamin B. Bederson, David W. Jacobs:
Automatic thumbnail cropping and its effectiveness. UIST 2003: 95-104 - 2001
- [j15]David W. Jacobs:
Linear Fitting with Missing Data for Structure-from-Motion. Comput. Vis. Image Underst. 82(1): 57-81 (2001) - [j14]Ronen Basri, David W. Jacobs:
Projective Alignment with Regions. IEEE Trans. Pattern Anal. Mach. Intell. 23(5): 519-527 (2001) - [c28]Ronen Basri, David W. Jacobs:
Photometric Stereo with General, Unknown Lighting. CVPR (2) 2001: 374-381 - [c27]Ronen Basri, David W. Jacobs:
Lambertian Reflectance and Linear Subspaces. ICCV 2001: 383-390 - [c26]David W. Jacobs, Peter N. Belhumeur, Ian Jermyn:
Judging Whether Multiple Silhouettes Can Come from the Same Object. IWVF 2001: 532-541 - [c25]David Jacobs, Bas Rokers, Archisman Rudra, Zili Liu:
Fragment Completion in Humans and Machines. NIPS 2001: 27-34 - 2000
- [j13]David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu:
Classification with Nonmetric Distances: Image Retrieval and Class Representation. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 583-600 (2000) - [c24]Hansen F. Chen, Peter N. Belhumeur, David W. Jacobs:
In Search of Illumination Invariants. CVPR 2000: 1254-1261
1990 – 1999
- 1999
- [j12]David W. Jacobs, Ronen Basri:
3-D to 2-D Pose Determination with Regions. Int. J. Comput. Vis. 34(2-3): 123-145 (1999) - [c23]Ronen Basri, David W. Jacobs:
Projective Alignment with Regions. ICCV 1999: 1158-1164 - 1998
- [j11]T. D. Alter, David W. Jacobs:
Uncertainty Propagation in Model-Based Recognition. Int. J. Comput. Vis. 27(2): 127-159 (1998) - [j10]Ronen Basri, Adam J. Grove, David W. Jacobs:
Efficient determination of shape from multiple images containing partial information. Pattern Recognit. 31(11): 1691-1703 (1998) - [c22]Ronen Basri, Dan Roth, David W. Jacobs:
Clustering Appearances of 3D Objects. CVPR 1998: 414-420 - [c21]David W. Jacobs, Peter N. Belhumeur, Ronen Basri:
Comparing Images under Variable Illumination. CVPR 1998: 610-617 - [c20]David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu:
Condensing Image Databases when Retrieval is Based on Non-Metric Distances. ICCV 1998: 596-601 - [c19]Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu:
Classification in Non-Metric Spaces. NIPS 1998: 838-846 - 1997
- [j9]Ronen Basri, David W. Jacobs:
Constancy and Similarity. Comput. Vis. Image Underst. 65(3): 447-449 (1997) - [j8]David W. Jacobs:
Matching 3-D Models to 2-D Images. Int. J. Comput. Vis. 21(1-2): 123-153 (1997) - [j7]Ronen Basri, David W. Jacobs:
Recognition Using Region Correspondences. Int. J. Comput. Vis. 25(2): 145-166 (1997) - [j6]Lance R. Williams, David W. Jacobs:
Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience. Neural Comput. 9(4): 837-858 (1997) - [j5]Lance R. Williams, David W. Jacobs:
Local Parallel Computation of Stochastic Completion Fields. Neural Comput. 9(4): 859-881 (1997) - [c18]David W. Jacobs:
Linear Fitting with Missing Data: Applications to Structure-from-Motion and to Characterizing Intensity Images. CVPR 1997: 206-212 - [c17]David W. Jacobs, Ronen Basri:
3-D to 2-D Recognition with Regions. CVPR 1997: 547-553 - 1996
- [j4]David W. Jacobs:
Robust and Efficient Detection of Salient Convex Groups. IEEE Trans. Pattern Anal. Mach. Intell. 18(1): 23-37 (1996) - [j3]David W. Jacobs:
The Space Requirements of Indexing Under Perspective Projections. IEEE Trans. Pattern Anal. Mach. Intell. 18(3): 330-333 (1996) - [c16]Lance R. Williams, David W. Jacobs:
Local Parallel Computation of Stochastic Completion Fields. CVPR 1996: 161-168 - [c15]Ronen Basri, Adam J. Grove, David W. Jacobs:
Efficient determination of shape from multiple images containing partial information. ICPR 1996: 268-274 - [c14]Adam J. Grove, David W. Jacobs:
Space/time trade-offs for associative memory. ICPR 1996: 296-302 - [c13]Ronen Basri, David W. Jacobs:
Matching Convex Polygons and Polyhedra, Allowing for Occlusion. WACG 1996: 133-147 - 1995
- [c12]Ronen Basri, David W. Jacobs:
Recognition Using Region Correspondences. ICCV 1995: 8-15 - [c11]Lance R. Williams, David W. Jacobs:
Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience. ICCV 1995: 408-415 - 1994
- [j2]W. Eric L. Grimson, Daniel P. Huttenlocher, David W. Jacobs:
A study of affine matching with bounded sensor error. Int. J. Comput. Vis. 13(1): 7-32 (1994) - [c10]Tao Daniel Alter, David W. Jacobs:
Error propagation in full 3D-from-2D object recognition. CVPR 1994: 892-898 - [c9]David W. Jacobs, Chakra Chennubhotla:
Finding structurally consistent motion correspondences. ICPR (1) 1994: 650-653 - 1993
- [c8]David W. Jacobs:
Generalizing Invariants for 3-D to 2-D Matching. Applications of Invariance in Computer Vision 1993: 415-434 - [c7]David W. Jacobs:
2D images of 3-D oriented points. CVPR 1993: 226-232 - [c6]David W. Jacobs:
Robust and efficient detection of convex groups. CVPR 1993: 770-771 - [c5]David W. Jacobs:
Finding Salient Convex Groups. Partitioning Data Sets 1993: 237-269 - 1992
- [c4]David W. Jacobs:
Space efficient 3-D model indexing. CVPR 1992: 439-444 - [c3]W. Eric L. Grimson, Daniel P. Huttenlocher, David W. Jacobs:
A Study of Affine Matching With Bounded Sensor Error. ECCV 1992: 291-306 - 1991
- [j1]David T. Clemens, David W. Jacobs:
Space and Time Bounds on Indexing 3D Models from 2D Images. IEEE Trans. Pattern Anal. Mach. Intell. 13(10): 1007-1017 (1991) - [c2]David T. Clemens, David W. Jacobs:
Model group indexing for recognition. CVPR 1991: 4-9 - [c1]David W. Jacobs:
Optimal matching of planar models in 3D scenes. CVPR 1991: 269-274
Coauthor Index
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