Model group indexing for recognition. - David T. Clemens; David W. Jacobs (CVPR, 1991)

Optimal matching of planar models in 3D scenes. - David W. Jacobs (CVPR, 1991)

Space and Time Bounds on Indexing 3D Models from 2D Images. - David T. Clemens; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

Space efficient 3-D model indexing. - David W. Jacobs (CVPR, 1992)

Generalizing Invariants for 3-D to 2-D Matching. - David W. Jacobs (Applications of Invariance in Computer Vision, 1993)

2D images of 3-D oriented points. - David W. Jacobs (CVPR, 1993)

Robust and efficient detection of convex groups. - David W. Jacobs (CVPR, 1993)

Finding Salient Convex Groups. - David W. Jacobs (Partitioning Data Sets, 1993)

Error propagation in full 3D-from-2D object recognition. - Tao Daniel Alter; David W. Jacobs (CVPR, 1994)

Finding structurally consistent motion correspondences. - David W. Jacobs; Chakra Chennubhotla 001 (ICPR (1), 1994)

A study of affine matching with bounded sensor error. - W. Eric L. Grimson; Daniel P. Huttenlocher; David W. Jacobs (Int. J. Comput. Vis., 1994)

Space/time trade-offs for associative memory. - Adam J. Grove; David W. Jacobs (ICPR, 1996)

Matching Convex Polygons and Polyhedra, Allowing for Occlusion. - Ronen Basri; David W. Jacobs (WACG, 1996)

Robust and Efficient Detection of Salient Convex Groups. - David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

The Space Requirements of Indexing Under Perspective Projections. - David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Linear Fitting with Missing Data: Applications to Structure-from-Motion and to Characterizing Intensity Images. - David W. Jacobs (CVPR, 1997)

3-D to 2-D Recognition with Regions. - David W. Jacobs; Ronen Basri (CVPR, 1997)

Constancy and Similarity. - Ronen Basri; David W. Jacobs (Comput. Vis. Image Underst., 1997)

Recognition Using Region Correspondences. - Ronen Basri; David W. Jacobs (Int. J. Comput. Vis., 1997)

Matching 3-D Models to 2-D Images. - David W. Jacobs (Int. J. Comput. Vis., 1997)

Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience. - Lance R. Williams; David W. Jacobs (Neural Comput., 1997)

Local Parallel Computation of Stochastic Completion Fields. - Lance R. Williams; David W. Jacobs (Neural Comput., 1997)

Clustering Appearances of 3D Objects. - Ronen Basri; Dan Roth 001; David W. Jacobs (CVPR, 1998)

Comparing Images under Variable Illumination. - David W. Jacobs; Peter N. Belhumeur; Ronen Basri (CVPR, 1998)

Condensing Image Databases when Retrieval is Based on Non-Metric Distances. - David W. Jacobs; Daphna Weinshall; Yoram Gdalyahu (ICCV, 1998)

Classification in Non-Metric Spaces. - Daphna Weinshall; David W. Jacobs; Yoram Gdalyahu (NIPS, 1998)

Uncertainty Propagation in Model-Based Recognition. - T. D. Alter; David W. Jacobs (Int. J. Comput. Vis., 1998)

Efficient determination of shape from multiple images containing partial information. - Ronen Basri; Adam J. Grove; David W. Jacobs (Pattern Recognit., 1998)

3-D to 2-D Pose Determination with Regions. - David W. Jacobs; Ronen Basri (Int. J. Comput. Vis., 1999)

In Search of Illumination Invariants. - Hansen F. Chen; Peter N. Belhumeur; David W. Jacobs (CVPR, 2000)

Classification with Nonmetric Distances: Image Retrieval and Class Representation. - David W. Jacobs; Daphna Weinshall; Yoram Gdalyahu (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Photometric Stereo with General, Unknown Lighting. - Ronen Basri; David W. Jacobs (CVPR (2), 2001)

Judging Whether Multiple Silhouettes Can Come from the Same Object. - David W. Jacobs; Peter N. Belhumeur; Ian Jermyn (IWVF, 2001)

Fragment Completion in Humans and Machines. - David Jacobs 001; Bas Rokers; Archisman Rudra; Zili Liu (NIPS, 2001)

Linear Fitting with Missing Data for Structure-from-Motion. - David W. Jacobs (Comput. Vis. Image Underst., 2001)

Projective Alignment with Regions. - Ronen Basri; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Using Specularities for Recognition. - Margarita Osadchy; David W. Jacobs; Ravi Ramamoorthi (ICCV, 2003)

Automatic thumbnail cropping and its effectiveness. - Bongwon Suh; Haibin Ling; Benjamin B. Bederson; David W. Jacobs (UIST, 2003)

Lambertian Reflectance and Linear Subspaces. - Ronen Basri; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision. - David W. Jacobs; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination. - Margarita Osadchy; Michael Lindenbaum; David W. Jacobs (ECCV (4), 2004)

Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints. - Shaohua Kevin Zhou; Rama Chellappa; David W. Jacobs (ECCV (1), 2004)

Using the Inner-Distance for Classification of Articulated Shapes. - Haibin Ling; David W. Jacobs (CVPR (2), 2005)

Deformation Invariant Image Matching. - Haibin Ling; David W. Jacobs (ICCV, 2005)

On the Equivalence of Common Approaches to Lighting Insensitive Recognition. - Margarita Osadchy; David W. Jacobs; Michael Lindenbaum (ICCV, 2005)

Non-Negative Lighting and Specular Object Recognition. - Sameer Shirdhonkar; David W. Jacobs (ICCV, 2005)

Mesh saliency. - Chang Ha Lee; Amitabh Varshney; David W. Jacobs (ACM Trans. Graph., 2005)

Using Stereo Matching for 2-D Face Recognition Across Pose. - Carlos Domingo Castillo; David W. Jacobs (CVPR, 2007)

Efficiently Determining Silhouette Consistency. - Li Yi; David W. Jacobs (CVPR, 2007)

A Study of Face Recognition as People Age. - Haibin Ling; Stefano Soatto; Narayanan Ramanathan; David W. Jacobs (ICCV, 2007)

Multi-scale video cropping. - Hazem El-Alfy; David W. Jacobs; Larry S. Davis (ACM Multimedia, 2007)

Photometric Stereo with General, Unknown Lighting. - Ronen Basri; David W. Jacobs; Ira Kemelmacher (Int. J. Comput. Vis., 2007)

Shape Classification Using the Inner-Distance. - Haibin Ling; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Surface Dependent Representations for Illumination Insensitive Image Comparison. - Margarita Osadchy; David W. Jacobs; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition. - Shaohua Kevin Zhou; Gaurav Aggarwal; Rama Chellappa; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Approximate earth mover's distance in linear time. - Sameer Shirdhonkar; David W. Jacobs (CVPR, 2008)

Searching the World's Herbaria: A System for Visual Identification of Plant Species. - 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 (ECCV (4), 2008)

Tracking Down Under: Following the Satin Bowerbird. - Aniruddha Kembhavi; Ryan Farrell; Yuancheng Luo; David W. Jacobs; Ramani Duraiswami; Larry S. Davis (WACV, 2008)

Using specularities in comparing 3D models and 2D images. - Margarita Osadchy; David W. Jacobs; Ravi Ramamoorthi; David Tucker (Comput. Vis. Image Underst., 2008)

Shape Matching for Foliage Database Retrieval. - Haibin Ling; David W. Jacobs (Semantic Mining Technologies for Multimedia Databases, 2009)

Visibility constraints on features of 3D objects. - Ronen Basri; Pedro F. Felzenszwalb; Ross B. Girshick; David W. Jacobs; Caroline J. Klivans (CVPR, 2009)

Sparse representation of cast shadows via l1-regularized least squares. - Xue Mei; Haibin Ling; David W. Jacobs (ICCV, 2009)

Assigning cameras to subjects in video surveillance systems. - Hazem El-Alfy; David W. Jacobs; Larry S. Davis (ICRA, 2009)

Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose. - Carlos Domingo Castillo; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Face Variation. - Carlos Domingo Castillo; David W. Jacobs (Encyclopedia of Biometrics, 2009)

Comparing and combining lighting insensitive approaches for face recognition. - Raghuraman Gopalan; David W. Jacobs (Comput. Vis. Image Underst., 2010)

Mesh saliency and human eye fixations. - Youngmin Kim; Amitabh Varshney; David W. Jacobs; François Guimbretière (ACM Trans. Appl. Percept., 2010)

Face verification across age progression using discriminative methods. - Haibin Ling; Stefano Soatto; Narayanan Ramanathan; David W. Jacobs (IEEE Trans. Inf. Forensics Secur., 2010)

Illumination Modeling for Face Recognition. - Ronen Basri; David W. Jacobs (Handbook of Face Recognition, 2011)

Wide-baseline stereo for face recognition with large pose variation. - Carlos Domingo Castillo; David W. Jacobs (CVPR, 2011)

A deformation and lighting insensitive metric for face recognition based on dense correspondences. - Anne Jorstad; David Jacobs 001; Alain Trouvé (CVPR, 2011)

Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch. - Abhishek Sharma 001; David W. Jacobs (CVPR, 2011)

Trainable 3D recognition using stereo matching. - Carlos Domingo Castillo; David W. Jacobs (ICCV Workshops, 2011)

Odd Leaf Out: Improving Visual Recognition with Games. - Derek L. Hansen; David W. Jacobs; Darcy Lewis; Arijit Biswas; Jennifer Preece; Dana Rotman; Eric Stevens (SocialCom/PASSAT, 2011)

Dynamic Processing Allocation in Video. - Daozheng Chen; Mustafa Bilgic 001; Lise Getoor; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Illumination Recovery From Image With Cast Shadows Via Sparse Representation. - Xue Mei; Haibin Ling; David W. Jacobs (IEEE Trans. Image Process., 2011)

Dynamic changes in motivation in collaborative citizen-science projects. - Dana Rotman; Jenny Preece; Jennifer Hammock; Kezee Procita; Derek L. Hansen; Cynthia Sims Parr; Darcy Lewis; David W. Jacobs (CSCW, 2012)

Active image clustering: Seeking constraints from humans to complement algorithms. - Arijit Biswas; David W. Jacobs (CVPR, 2012)

Data insufficiency in sketch versus photo face recognition. - Jonghyun Choi; Abhishek Sharma 001; David W. Jacobs; Larry S. Davis (CVPR Workshops, 2012)

Generalized Multiview Analysis: A discriminative latent space. - Abhishek Sharma 001; Abhishek Kumar 001; Hal Daumé III; David W. Jacobs (CVPR, 2012)

A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics. - Anne Jorstad; David Jacobs 001; Alain Trouvé (ECCV (4), 2012)

Leafsnap: A Computer Vision System for Automatic Plant Species Identification. - Neeraj Kumar 006; Peter N. Belhumeur; Arijit Biswas; David W. Jacobs; W. John Kress; Ida C. Lopez; João V. B. Soares (ECCV (2), 2012)

Dog Breed Classification Using Part Localization. - Jiongxin Liu; Angjoo Kanazawa; David W. Jacobs; Peter N. Belhumeur (ECCV (1), 2012)

Spectral Graph Cut from a Filtering Point of View - Chengxi Ye; Yuxu Lin; Mingli Song; Chun Chen 001; David W. Jacobs (CoRR, 2012)

Robust pose invariant face recognition using coupled latent space discriminant analysis. - Abhishek Sharma 001; Murad Al Haj; Jonghyun Choi; Larry S. Davis; David W. Jacobs (Comput. Vis. Image Underst., 2012)

Deformations and Lighting. - David Jacobs 001; Anne Jorstad; Alain Trouvé (Shape Perception in Human and Computer Vision, 2013)

An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification Using Google Street View Images. - Kotaro Hara; Jin Sun 011; Jonah Chazan; David W. Jacobs; Jon Froehlich (HCOMP (Works in Progress / Demos), 2013)

Sparse Norm Filtering - Chengxi Ye; Dacheng Tao; Mingli Song; David W. Jacobs; Min Wu (CoRR, 2013)

Efficient segmentation of leaves in semi-controlled conditions. - João V. B. Soares; David W. Jacobs (Mach. Vis. Appl., 2013)

Localizing Parts of Faces Using a Consensus of Exemplars. - Peter N. Belhumeur; David W. Jacobs; David J. Kriegman; Neeraj Kumar 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds. - Thomas Berg; Jiongxin Liu; Seung Woo Lee; Michelle L. Alexander; David W. Jacobs; Peter N. Belhumeur (CVPR, 2014)

Tohme: detecting curb ramps in google street view using crowdsourcing, computer vision, and machine learning. - Kotaro Hara; Jin Sun 011; Robert Moore; David W. Jacobs; Jon Froehlich (UIST, 2014)

Locally Scale-Invariant Convolutional Neural Networks. - Angjoo Kanazawa; Abhishek Sharma 001; David W. Jacobs (CoRR, 2014)

Comparing apples to apples in the evaluation of binary coding methods. - Mohammad Rastegari; Shobeir Fakhraei; Jonghyun Choi; David W. Jacobs; Larry S. Davis (CoRR, 2014)

Active subclustering. - Arijit Biswas; David W. Jacobs (Comput. Vis. Image Underst., 2014)

Active Image Clustering with Pairwise Constraints from Humans. - Arijit Biswas; David W. Jacobs (Int. J. Comput. Vis., 2014)

Feature Matching with Bounded Distortion. - Yaron Lipman; Stav Yagev; Roi Poranne; David W. Jacobs; Ronen Basri (ACM Trans. Graph., 2014)

An Efficient Algorithm for Learning Distances that Obey the Triangle Inequality. - Arijit Biswas; David W. Jacobs (BMVC, 2015)

Deep hierarchical parsing for semantic segmentation. - Abhishek Sharma 001; Oncel Tuzel; David W. Jacobs (CVPR, 2015)

Learning 3D Articulation and Deformation using 2D Images. - Angjoo Kanazawa; Shahar Z. Kovalsky; Ronen Basri; David W. Jacobs (CoRR, 2015)

Riemannian Metric Learning for Symmetric Positive Definite Matrices. - Raviteja Vemulapalli; David W. Jacobs (CoRR, 2015)

A Linear Elastic Force Optimization Model for Shape Matching. - Konrad Simon; Sameer Sheorey; David W. Jacobs; Ronen Basri (J. Math. Imaging Vis., 2015)

From Shading to Local Shape. - Ying Xiong; Ayan Chakrabarti; Ronen Basri; Steven J. Gortler; David W. Jacobs; Todd E. Zickler (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Face Variation. - Carlos Domingo Castillo; David W. Jacobs (Encyclopedia of Biometrics, 2015)

WarpNet: Weakly Supervised Matching for Single-View Reconstruction. - Angjoo Kanazawa; David W. Jacobs; Manmohan Chandraker (CVPR, 2016)

Biconvex Relaxation for Semidefinite Programming in Computer Vision. - Sohil Shah; Abhay Kumar Yadav; Carlos Domingo Castillo; David W. Jacobs; Christoph Studer; Tom Goldstein (ECCV (6), 2016)

Evaluating Local Features for Day-Night Matching. - Hao Zhou 011; Torsten Sattler; David W. Jacobs (ECCV Workshops (3), 2016)

Frontal to profile face verification in the wild. - Soumyadip Sengupta; Jun-Cheng Chen; Carlos Domingo Castillo; Vishal M. Patel; Rama Chellappa; David W. Jacobs (WACV, 2016)

Learning 3D Deformation of Animals from 2D Images. - Angjoo Kanazawa; Shahar Z. Kovalsky; Ronen Basri; David W. Jacobs (Comput. Graph. Forum, 2016)

Big Batch SGD: Automated Inference using Adaptive Batch Sizes. - Soham De; Abhay Kumar Yadav; David W. Jacobs; Tom Goldstein (CoRR, 2016)

Biconvex Relaxation for Semidefinite Programming in Computer Vision. - Sohil Shah; Abhay Kumar Yadav; David W. Jacobs; Christoph Studer; Tom Goldstein (CoRR, 2016)

Automated Inference with Adaptive Batches. - Soham De; Abhay Kumar Yadav; David W. Jacobs; Tom Goldstein (AISTATS, 2017)

A New Rank Constraint on Multi-view Fundamental Matrices, and Its Application to Camera Location Recovery. - Soumyadip Sengupta; Tal Amir; Meirav Galun; Tom Goldstein; David W. Jacobs; Amit Singer; Ronen Basri (CVPR, 2017)

Seeing What is Not There: Learning Context to Determine Where Objects are Missing. - Jin Sun 011; David W. Jacobs (CVPR, 2017)

3D Menagerie: Modeling the 3D Shape and Pose of Animals. - Silvia Zuffi; Angjoo Kanazawa; David W. Jacobs; Michael J. Black (CVPR, 2017)

Efficient Representation of Low-Dimensional Manifolds using Deep Networks. - Ronen Basri; David W. Jacobs (ICLR (Poster), 2017)

Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images. - Hao Zhou 011; Jin Sun 011; Yaser Yacoob; David W. Jacobs (CoRR, 2017)

A Hyperelastic Two-Scale Optimization Model for Shape Matching. - Konrad Simon; Sameer Sheorey; David W. Jacobs; Ronen Basri (SIAM J. Sci. Comput., 2017)

End-to-End Recovery of Human Shape and Pose. - Angjoo Kanazawa; Michael J. Black; David W. Jacobs; Jitendra Malik (CVPR, 2018)

SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'. - Soumyadip Sengupta; Angjoo Kanazawa; Carlos Domingo Castillo; David W. Jacobs (CVPR, 2018)

Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces. - Hao Zhou 011; Jin Sun 011; Yaser Yacoob; David W. Jacobs (CVPR, 2018)

Stabilizing Adversarial Nets with Prediction Methods. - Abhay Kumar Yadav; Sohil Shah; Zheng Xu 002; David W. Jacobs; Tom Goldstein (ICLR (Poster), 2018)

Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability. - Soumyadip Sengupta; Hao Zhou 011; Walter Forkel; Ronen Basri; Tom Goldstein; David W. Jacobs (J. Math. Imaging Vis., 2018)

Neural Inverse Rendering of an Indoor Scene From a Single Image. - Soumyadip Sengupta; Jinwei Gu; Kihwan Kim; Guilin Liu; David W. Jacobs; Jan Kautz (ICCV, 2019)

Deep Single-Image Portrait Relighting. - Hao Zhou 011; Sunil Hadap; Kalyan Sunkavalli; David Jacobs 001 (ICCV, 2019)

GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition. - Hao Zhou 011; Xiang Yu; David Jacobs 001 (ICCV, 2019)

The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies. - Ronen Basri; David W. Jacobs; Yoni Kasten; Shira Kritchman (NeurIPS, 2019)

Understanding the (un)interpretability of natural image distributions using generative models. - Ryen Krusinga; Sohil Shah; Matthias Zwicker; Tom Goldstein; David W. Jacobs (CoRR, 2019)

Making L-BFGS Work with Industrial-Strength Nets. - Abhay Kumar Yadav; Tom Goldstein; David W. Jacobs (BMVC, 2020)

SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation. - Koutilya PNVR; Hao Zhou 011; David Jacobs 001 (CVPR, 2020)

Adversarially robust transfer learning. - Ali Shafahi; Parsa Saadatpanah; Chen Zhu 001; Amin Ghiasi; Christoph Studer; David W. Jacobs; Tom Goldstein (ICLR, 2020)

Frequency Bias in Neural Networks for Input of Non-Uniform Density. - Ronen Basri; Meirav Galun; Amnon Geifman; David W. Jacobs; Yoni Kasten; Shira Kritchman (ICML, 2020)

On the Similarity between the Laplace and Neural Tangent Kernels. - Amnon Geifman; Abhay Kumar Yadav; Yoni Kasten; Meirav Galun; David W. Jacobs; Ronen Basri (NeurIPS, 2020)

Towards Automatic Generation of Questions from Long Answers. - Shlok Kumar Mishra; Pranav Goel 001; Abhishek Sharma 001; Abhyuday Jagannatha; David W. Jacobs; Hal Daumé III (CoRR, 2020)

Learning Visual Representations for Transfer Learning by Suppressing Texture. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Jonghyun Choi; Abhinav Shrivastava; Abhishek Sharma 001; David W. Jacobs (CoRR, 2020)

Shape and Material Capture at Home. - Daniel Lichy; Jiaye Wu; Soumyadip Sengupta; David W. Jacobs (CVPR, 2021)

Low Curvature Activations Reduce Overfitting in Adversarial Training. - Vasu Singla; Sahil Singla 002; Soheil Feizi; David Jacobs 001 (ICCV, 2021)

Robust Contrastive Learning Using Negative Samples with Diminished Semantics. - Songwei Ge; Shlok Mishra; Chun-Liang Li; Haohan Wang; David Jacobs 001 (NeurIPS, 2021)

Shift Invariance Can Reduce Adversarial Robustness. - Vasu Singla; Songwei Ge; Ronen Basri; David W. Jacobs (NeurIPS, 2021)

Improved Detection of Face Presentation Attacks Using Image Decomposition. - Shlok Kumar Mishra; Kuntal Sengupta; Max Horowitz-Gelb; Wen-Sheng Chu; Sofien Bouaziz; David Jacobs 001 (CoRR, 2021)

Object-Aware Cropping for Self-Supervised Learning. - Shlok Mishra; Anshul Shah; Ankan Bansal; Abhyuday Jagannatha; Abhishek Sharma 001; David Jacobs 001; Dilip Krishnan (CoRR, 2021)

Learning visual representations for transfer learning by suppressing texture. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Janit Anjaria; Jonghyun Choi; Abhinav Shrivastava; Abhishek Sharma 001; David Jacobs 001 (BMVC, 2022)

Fast Light-Weight Near-Field Photometric Stereo. - Daniel Lichy; Soumyadip Sengupta; David W. Jacobs (CVPR, 2022)

Poisons that are learned faster are more effective. - Pedro Sandoval Segura; Vasu Singla; Liam Fowl; Jonas Geiping; Micah Goldblum; David Jacobs 001; Tom Goldstein (CVPR Workshops, 2022)

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. - Songwei Ge; Thomas Hayes; Harry Yang; Xi Yin 001; Guan Pang; David Jacobs 001; Jia-Bin Huang 001; Devi Parikh (ECCV (17), 2022)

Improved Presentation Attack Detection Using Image Decomposition. - Shlok Kumar Mishra; Kuntal Sengupta; Wen-Sheng Chu; Max Horowitz-Gelb; Sofien Bouaziz; David Jacobs 001 (IJCB, 2022)

On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels. - Amnon Geifman; Meirav Galun; David Jacobs 001; Ronen Basri (NeurIPS, 2022)

Autoregressive Perturbations for Data Poisoning. - Pedro Sandoval Segura; Vasu Singla; Jonas Geiping; Micah Goldblum; Tom Goldstein; David Jacobs 001 (NeurIPS, 2022)

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. - Shlok Mishra; Joshua Robinson 001; Huiwen Chang; David Jacobs 001; Aaron Sarna; Aaron Maschinot; Dilip Krishnan (CoRR, 2022)

SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild. - Soumyadip Sengupta; Daniel Lichy; Angjoo Kanazawa; Carlos Domingo Castillo; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Object-aware Cropping for Self-Supervised Learning. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Janit Anjaria; Abhyuday N. Jagannatha; Abhishek Sharma 001; David Jacobs 001; Dilip Krishnan (Trans. Mach. Learn. Res., 2022)

Hyperbolic Contrastive Learning for Visual Representations beyond Objects. - Songwei Ge; Shlok Mishra; Simon Kornblith; Chun-Liang Li; David Jacobs 001 (CVPR, 2023)

HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. - Anshul Shah; Aniket Roy; Ketul Shah; Shlok Mishra; David Jacobs 001; Anoop Cherian; Rama Chellappa (CVPR, 2023)

Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation. - Jiaye Wu; Sanjoy Chowdhury; Hariharmano Shanmugaraja; David Jacobs 001; Soumyadip Sengupta (ICCP, 2023)

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. - Songwei Ge; Seungjun Nah; Guilin Liu; Tyler Poon; Andrew Tao; Bryan Catanzaro; David Jacobs 001; Jia-Bin Huang 001; Ming-Yu Liu 001; Yogesh Balaji (ICCV, 2023)

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. - Koutilya PNVR; Bharat Singh; Pallabi Ghosh; Behjat Siddiquie; David Jacobs 001 (ICCV, 2023)

Rethinking Score Distillation as a Bridge Between Image Distributions. - David McAllister; Songwei Ge; Jia-Bin Huang 001; David Jacobs 001; Alexei A. Efros; Aleksander Holynski; Angjoo Kanazawa (NeurIPS, 2024)

CALVIN: Improved Contextual Video Captioning via Instruction Tuning. - Gowthami Somepalli; Arkabandhu Chowdhury; Jonas Geiping; Ronen Basri; Tom Goldstein; David Jacobs 001 (NeurIPS, 2024)

GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering. - Jiaye Wu; Saeed Hadadan; Geng Lin; Matthias Zwicker; David Jacobs 001; Roni Sengupta (CoRR, 2024)

CinePile: A Long Video Question Answering Dataset and Benchmark. - Ruchit Rawal; Khalid Saifullah; Ronen Basri; David Jacobs 001; Gowthami Somepalli; Tom Goldstein (CoRR, 2024)

Multimodal Agentic Model Predictive Control. - Saptarashmi Bandyopadhyay; John (Jack) Cole; Tom Goldstein; David Jacobs 001 (AAMAS, 2025)

Using Attention Sinks to Identify and Evaluate Dormant Heads in Pretrained LLMs. - Pedro Sandoval Segura; Xijun Wang; Ashwinee Panda; Micah Goldblum; Ronen Basri; Tom Goldstein; David Jacobs 001 (CoRR, 2025)

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion. - Bang Gong; Luchao Qi; Jiaye Wu; Zhicheng Fu; Chunbo Song; David W. Jacobs; John Nicholson; Roni Sengupta (CoRR, 2025)

MyTimeMachine: Personalized Facial Age Transformation. - Luchao Qi; Jiaye Wu; Bang Gong; Annie N. Wang; David W. Jacobs; Roni Sengupta (ACM Trans. Graph., 2025)