Leard, M.
Standard Author Listing
with: Benzougar, A.: Local blur formulation for depth from defocus
with: Brochard, J.: AR Models and Bidimensional Discrete Moments Applied to ...
with: Brochard, J.: Modeling of Rigid Objects by Bidimensional Moments: Appl...
with: Coutin, L.: Modeling of Rigid Objects by Bidimensional Moments: Applic...
with: Khoudeir, M.: Local blur formulation for depth from defocus
with: Mhidra, H.: AR Models and Bidimensional Discrete Moments Applied to Te...
Learn, S.
Standard Author Listing
with: Guo, Y.: Freeway speed harmonisation experiment using connected and au...
with: Ma, J.Q.: Freeway speed harmonisation experiment using connected and a...
with: Raboy, K.: Freeway speed harmonisation experiment using connected and ...
with: Zhou, F.: Freeway speed harmonisation experiment using connected and a...
Learned Miller, E.
Standard Author Listing
with: Alahari, K.: Right Spin: Learning Object Motion from Rotation-Compensa...
with: Bideau, P.: Right Spin: Learning Object Motion from Rotation-Compensat...
with: Chen, Z.: Mod-Squad: Designing Mixtures of Experts As Modular Multi-Ta...
with: Chen, Z.F.: Mod-Squad: Designing Mixtures of Experts As Modular Multi-...
with: Delattre, F.: Robust Frame-to-Frame Camera Rotation Estimation in Crow...
with: Ding, M.Y.: Mod-Squad: Designing Mixtures of Experts As Modular Multi-...
with: Dirnfeld, D.: Robust Frame-to-Frame Camera Rotation Estimation in Crow...
with: Gan, C.: Mod-Squad: Designing Mixtures of Experts As Modular Multi-Tas...
with: Jiang, H.: DCVNet: Dilated Cost Volume Networks for Fast Optical Flow
with: Jones, M.J.: Robust Frame-to-Frame Camera Rotation Estimation in Crowd...
with: Miraldo, P.: Robust Frame-to-Frame Camera Rotation Estimation in Crowd...
with: Nguyen, P.: Robust Frame-to-Frame Camera Rotation Estimation in Crowde...
with: Scarano, S.: Robust Frame-to-Frame Camera Rotation Estimation in Crowd...
with: Schmid, C.: Right Spin: Learning Object Motion from Rotation-Compensat...
with: Shen, Y.: Mod-Squad: Designing Mixtures of Experts As Modular Multi-Ta...
with: Zhao, H.S.: Mod-Squad: Designing Mixtures of Experts As Modular Multi-...
16 for Learned Miller, E.
Learned Miller, E.G.
Standard Author Listing
with: Aghasi, A.: Parametric Level Set Methods for Inverse Problems
with: Avidan, S.: Multiple Hypothesis Video Segmentation from Superpixel Flows
with: Benfield, M.C.: Combining Local and Global Image Features for Object C...
with: Berg, A.C.: Names and faces in the news
with: Berg, T.L.: Labeled faces in the wild: A database for studying face re...
with: Berg, T.L.: Names and faces in the news
with: Bideau, P.: Best of Both Worlds: Combining CNNs and Geometric Constrai...
with: Bideau, P.: It's Moving! A Probabilistic Model for Causal Motion Segme...
with: Bideau, P.: MoA-Net: Self-supervised Motion Segmentation
with: Bideau, P.: Spatio-Temporal Poisson Point Process: A Simple Model for ...
with: Black, M.J.: Optical Flow Estimation with Channel Constancy
with: Blaschko, M.B.: Combining Local and Global Image Features for Object C...
with: Cao, L.L.: Automatic Adaptation of Object Detectors to New Domains Usi...
with: Cao, L.L.: Label-efficient Learning on Point Clouds Using Approximate ...
with: Chakrabarty, P.: Automatic Adaptation of Object Detectors to New Domai...
with: Chakraborty, D.: Self-Supervised Learning to Guide Scientifically Rele...
with: Chakraborty, D.: Unsupervised Hard Example Mining from Videos for Impr...
with: Chandraker, M.: Improving Face Recognition by Clustering Unlabeled Fac...
with: Chen, X.: In Defense of Grid Features for Visual Question Answering
with: Chen, Z.T.: Shot in the Dark: Few-Shot Learning with No Base-Class Lab...
with: Chowdhury, A.R.: One-to-many face recognition with bilinear CNNs
with: Doersch, C.: Improving state-of-the-art OCR through high-precision doc...
with: Edwards, J.: Names and faces in the news
with: Feild, J.L.: Improving Open-Vocabulary Scene Text Recognition
with: Feild, J.L.: Scene Text Segmentation via Inverse Rendering
with: Feild, J.L.: Using a Probabilistic Syllable Model to Improve Scene Tex...
with: Ferencz, A.: Building a Classification Cascade for Visual Identificati...
with: Ferencz, A.: Discriminative Training of Hyper-feature Models for Objec...
with: Ferencz, A.: Learning to Locate Informative Features for Visual Identi...
with: Field, J.: Enforcing similarity constraints with integer programming f...
with: Forsyth, D.A.: Names and faces in the news
with: Gadelha, M.: Label-efficient Learning on Point Clouds Using Approximat...
with: Gallego, G.: Spatio-Temporal Poisson Point Process: A Simple Model for...
with: Gallo, O.: Pixel-Adaptive Convolutional Neural Networks
with: Gelbart, M.: Segmentation fusion for connectomics
with: Grauman, K.: Guest Editorial: Best of CVPR 2015
with: Grimson, W.E.L.: Efficient Population Registration of 3D Data
with: Grupen, R.A.: Aspect Transition Graph: An Affordance-Based Model, The
with: Gu, C.: Spatio-Temporal Poisson Point Process: A Simple Model for the ...
with: Hanson, A.R.: Background modeling using adaptive pixelwise kernel vari...
with: Hanson, A.R.: Background subtraction: separating the modeling and the ...
with: Hanson, A.R.: Coherent Motion Segmentation in Moving Camera Videos Usi...
with: Hanson, A.R.: discriminative semi-Markov model for robust scene text r...
with: Hanson, A.R.: Fast Lexicon-Based Scene Text Recognition with Sparse Be...
with: Hanson, A.R.: Improvements in Joint Domain-Range Modeling for Backgrou...
with: Hanson, A.R.: Scene Text Recognition Using Similarity and a Lexicon wi...
with: Hanson, A.R.: Sign Classification using Local and Meta-Features
with: Hua, G.: Introduction to the Special Section on Real-World Face Recogn...
with: Huang, D.: Segmentation fusion for connectomics
with: Huang, G.B.: Cryptogram Decoding for OCR Using Numerization Strings
with: Huang, G.B.: Improving state-of-the-art OCR through high-precision doc...
with: Huang, G.B.: Labeled faces in the wild: A database for studying face r...
with: Huang, G.B.: Learning class-specific image transformations with higher...
with: Huang, G.B.: Learning hierarchical representations for face verificati...
with: Huang, G.B.: LFW Results Using a Combined Nowak Plus MERL Recognizer
with: Huang, G.B.: Towards unconstrained face recognition
with: Huang, G.B.: Unsupervised Joint Alignment of Complex Images
with: Huang, T.S.: Introduction to the Special Section on Real-World Face Re...
with: Jain, V.: Discriminative Training of Hyper-feature Models for Object I...
with: Jain, V.: FDDB: Face Detection Data Set and Benchmark
with: Jain, V.: Online domain adaptation of a pre-trained cascade of classif...
with: Jain, V.: People-LDA: Anchoring Topics to People using Face Recognition
with: Jain, V.: Unsupervised Joint Alignment of Complex Images
with: Jampani, V.: Pixel-Adaptive Convolutional Neural Networks
with: Jampani, V.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Jampani, V.: Super SloMo: High Quality Estimation of Multiple Intermed...
with: Jiang, H.: Automatic Adaptation of Object Detectors to New Domains Usi...
with: Jiang, H.: Face Detection with the Faster R-CNN
with: Jiang, H.: In Defense of Grid Features for Visual Question Answering
with: Jiang, H.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Jiang, H.: Super SloMo: High Quality Estimation of Multiple Intermedia...
with: Jiang, H.: Unsupervised Hard Example Mining from Videos for Improved O...
with: Jiang, H.Z.: Self-Supervised Relative Depth Learning for Urban Scene U...
with: Jin, S.: Automatic Adaptation of Object Detectors to New Domains Using...
with: Jin, S.: End-to-End Face Detection and Cast Grouping in Movies Using E...
with: Jin, S.: Unsupervised Hard Example Mining from Videos for Improved Obj...
with: Jones, M.J.: EVAL: Explainable Video Anomaly Localization
with: Jones, M.J.: LFW Results Using a Combined Nowak Plus MERL Recognizer
with: Kae, A.: Augmenting CRFs with Boltzmann Machine Shape Priors for Image...
with: Kae, A.: Improving state-of-the-art OCR through high-precision documen...
with: Kae, A.: Learning on the Fly: A Font-Free Approach Toward Multilingual...
with: Kae, A.: Learning on the Fly: Font-Free Approaches to Difficult OCR Pr...
with: Kae, A.: Shape-Time Random Field for Semantic Video Labeling, The
with: Kalogerakis, E.: Label-efficient Learning on Point Clouds Using Approx...
with: Kalogerakis, E.: Multi-view Convolutional Neural Networks for 3D Shape...
with: Kautz, J.: Pixel-Adaptive Convolutional Neural Networks
with: Kautz, J.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Kautz, J.: Super SloMo: High Quality Estimation of Multiple Intermedia...
with: Kilmer, M.E.: Parametric Level Set Methods for Inverse Problems
with: Kriegman, D.J.: Introduction to the Special Section on Real-World Face...
with: Ku, L.Y.: Aspect Transition Graph: An Affordance-Based Model, The
with: Kwon, H.: Zero-Shot Learning in the Presence of Hierarchically Coarsen...
with: Larsson, G.: Self-Supervised Relative Depth Learning for Urban Scene U...
with: Lee, H.L.: Augmenting CRFs with Boltzmann Machine Shape Priors for Ima...
with: Lee, H.L.: Learning hierarchical representations for face verification...
with: Lichtman, J.: Segmentation fusion for connectomics
with: Lin, T.Y.: One-to-many face recognition with bilinear CNNs
with: Lisin, D.A.: Combining Local and Global Image Features for Object Clas...
with: Lv, Z.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Ma, Y.: Introduction to the Special Section on Real-World Face Recogni...
with: Maire, M.: Names and faces in the news
with: Maire, M.: Self-Supervised Relative Depth Learning for Urban Scene Und...
with: Maji, S.: Distinguishing Weather Phenomena from Bird Migration Pattern...
with: Maji, S.: Label-efficient Learning on Point Clouds Using Approximate C...
with: Maji, S.: Multi-view Convolutional Neural Networks for 3D Shape Recogn...
with: Maji, S.: One-to-many face recognition with bilinear CNNs
with: Maji, S.: Shot in the Dark: Few-Shot Learning with No Base-Class Labels
with: Malik, J.: Building a Classification Cascade for Visual Identification...
with: Malik, J.: Learning to Locate Informative Features for Visual Identifi...
with: Marlin, B.M.: Shape-Time Random Field for Semantic Video Labeling, The
with: Marlin, B.M.: Zero-Shot Learning in the Presence of Hierarchically Coa...
with: Mattar, M.A.: Combining Local and Global Image Features for Object Cla...
with: Mattar, M.A.: Sign Classification using Local and Meta-Features
with: McCallum, A.: Cryptogram Decoding for OCR Using Numerization Strings
with: McCallum, A.: People-LDA: Anchoring Topics to People using Face Recogn...
with: Mears, B.: Distribution Fields with Adaptive Kernels for Large Displac...
with: Menon, R.R.: Best of Both Worlds: Combining CNNs and Geometric Constra...
with: Menon, R.R.: MoA-Net: Self-supervised Motion Segmentation
with: Meyer, M.: Self-Supervised Learning to Guide Scientifically Relevant C...
with: Milliken, R.: Self-Supervised Learning to Guide Scientifically Relevan...
with: Misra, I.: In Defense of Grid Features for Visual Question Answering
with: Narayana, M.: Background modeling using adaptive pixelwise kernel vari...
with: Narayana, M.: Background subtraction: separating the modeling and the ...
with: Narayana, M.: Coherent Motion Segmentation in Moving Camera Videos Usi...
with: Narayana, M.: Improvements in Joint Domain-Range Modeling for Backgrou...
with: Narayana, M.: Towards unconstrained face recognition
with: Panambur, T.: Self-Supervised Learning to Guide Scientifically Relevan...
with: Parente, M.: Self-Supervised Learning to Guide Scientifically Relevant...
with: Pfister, H.: Multiphase geometric couplings for the segmentation of ne...
with: Pfister, H.: Multiple Hypothesis Video Segmentation from Superpixel Fl...
with: Pfister, H.: Segmentation fusion for connectomics
with: Prasad, A.: Unsupervised Hard Example Mining from Videos for Improved ...
with: Ramesh, M.: Labeled faces in the wild: A database for studying face re...
with: Rohrbach, M.: In Defense of Grid Features for Visual Question Answering
with: Ross, M.: Context-Sensitive Error Correction: Using Topic Models to Im...
with: Roy Chowdhury, A.: Best of Both Worlds: Combining CNNs and Geometric C...
with: Roy Chowdhury, A.: Distinguishing Weather Phenomena from Bird Migratio...
with: Roy Chowdhury, A.: Improving Face Recognition by Clustering Unlabeled ...
with: Roy Chowdhury, A.: Unsupervised Hard Example Mining from Videos for Im...
with: RoyChowdhury, A.: Automatic Adaptation of Object Detectors to New Doma...
with: RoyChowdhury, A.: Label-efficient Learning on Point Clouds Using Appro...
with: Samplawski, C.: Zero-Shot Learning in the Presence of Hierarchically C...
with: Sen, S.: Aspect Transition Graph: An Affordance-Based Model, The
with: Sevilla Lara, L.: Distribution fields for tracking
with: Sevilla Lara, L.: Distribution Fields with Adaptive Kernels for Large ...
with: Sevilla Lara, L.: Optical Flow Estimation with Channel Constancy
with: Shakhnarovich, G.: Self-Supervised Relative Depth Learning for Urban S...
with: Sharma, G.: Label-efficient Learning on Point Clouds Using Approximate...
with: Sheldon, D.: Distinguishing Weather Phenomena from Bird Migration Patt...
with: Sheldon, D.: Spatio-Temporal Poisson Point Process: A Simple Model for...
with: Singh, A.: Automatic Adaptation of Object Detectors to New Domains Usi...
with: Singh, A.: EVAL: Explainable Video Anomaly Localization
with: Singh, A.: Unsupervised Hard Example Mining from Videos for Improved O...
with: Smith, D.A.: Learning on the Fly: A Font-Free Approach Toward Multilin...
with: Smith, D.A.: Learning on the Fly: Font-Free Approaches to Difficult OC...
with: Smith, D.A.: Using a Probabilistic Syllable Model to Improve Scene Tex...
with: Smith, D.L.: Enforcing similarity constraints with integer programming...
with: Sohn, K.: Augmenting CRFs with Boltzmann Machine Shape Priors for Imag...
with: Sohn, K.: Improving Face Recognition by Clustering Unlabeled Faces in ...
with: Stauffer, C.: End-to-End Face Detection and Cast Grouping in Movies Us...
with: Su, H.: End-to-End Face Detection and Cast Grouping in Movies Using Er...
with: Su, H.: Multi-view Convolutional Neural Networks for 3D Shape Recognit...
with: Su, H.: Pixel-Adaptive Convolutional Neural Networks
with: Sun, D.: Optical Flow Estimation with Channel Constancy
with: Sun, D.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Sun, D.: Super SloMo: High Quality Estimation of Multiple Intermediate...
with: Sun, D.Q.: Pixel-Adaptive Convolutional Neural Networks
with: Teh, Y.W.: Names and faces in the news
with: Torralba, A.: Guest Editorial: Best of CVPR 2015
with: Turk, M.A.: Introduction to the Special Section on Real-World Face Rec...
with: Vazquez Reina, A.: Multiphase geometric couplings for the segmentation...
with: Vazquez Reina, A.: Multiple Hypothesis Video Segmentation from Superpi...
with: Vazquez Reina, A.: Segmentation fusion for connectomics
with: Wang, R.: Label-efficient Learning on Point Clouds Using Approximate C...
with: Wang, R.: Scene Text Segmentation via Inverse Rendering
with: Weinman, J.J.: discriminative semi-Markov model for robust scene text ...
with: Weinman, J.J.: Fast Lexicon-Based Scene Text Recognition with Sparse B...
with: Weinman, J.J.: Improving Recognition of Novel Input with Similarity
with: Weinman, J.J.: Scene Text Recognition Using Similarity and a Lexicon w...
with: Wells, W.M.: Efficient Population Registration of 3D Data
with: White, R.: Names and faces in the news
with: Wick, M.: Context-Sensitive Error Correction: Using Topic Models to Im...
with: Yang, M.: Super SloMo: High Quality Estimation of Multiple Intermediat...
with: Yang, M.H.: Introduction to the Special Section on Real-World Face Rec...
with: Yu, X.: Improving Face Recognition by Clustering Unlabeled Faces in th...
with: Zhou, Y.: Scene Text Segmentation via Inverse Rendering
with: Zisserman, A.: Guest Editorial: Best of CVPR 2015
with: Zollei, L.: Efficient Population Registration of 3D Data
188 for Learned Miller, E.G.
Leary, C.
Standard Author Listing
with: Bashkirov, V.: 200 MeV Proton Radiography Studies With a Hand Phantom ...
with: Feng, V.: 200 MeV Proton Radiography Studies With a Hand Phantom Using...
with: Hurley, F.: 200 MeV Proton Radiography Studies With a Hand Phantom Usi...
with: Johnson, R.P.: 200 MeV Proton Radiography Studies With a Hand Phantom ...
with: Macafee, S.: 200 MeV Proton Radiography Studies With a Hand Phantom Us...
with: Plautz, T.: 200 MeV Proton Radiography Studies With a Hand Phantom Usi...
with: Plumb, A.: 200 MeV Proton Radiography Studies With a Hand Phantom Usin...
with: Rykalin, V.: 200 MeV Proton Radiography Studies With a Hand Phantom Us...
with: Sadrozinski, H.F.W.: 200 MeV Proton Radiography Studies With a Hand Ph...
with: Schubert, K.: 200 MeV Proton Radiography Studies With a Hand Phantom U...
with: Schulte, R.: 200 MeV Proton Radiography Studies With a Hand Phantom Us...
with: Schultze, B.: 200 MeV Proton Radiography Studies With a Hand Phantom U...
with: Steinberg, D.: 200 MeV Proton Radiography Studies With a Hand Phantom ...
with: Witt, M.: 200 MeV Proton Radiography Studies With a Hand Phantom Using...
with: Zatserklyaniy, A.: 200 MeV Proton Radiography Studies With a Hand Phan...
15 for Leary, C.
Leary, J.
Standard Author Listing
with: Jenkins, D.: Comparing Interpretation of High-Resolution Aerial Imager...
with: Mandel, T.: Comparing Interpretation of High-Resolution Aerial Imagery...
with: Panoff, M.: Comparing Interpretation of High-Resolution Aerial Imagery...
with: Perez, P.: Comparing Interpretation of High-Resolution Aerial Imagery ...
with: Perroy, R.L.: Comparing Interpretation of High-Resolution Aerial Image...
with: Rodriguez, R.: Comparing Interpretation of High-Resolution Aerial Imag...
Leary, S.
Standard Author Listing
with: Bookless, J.: Constrained UAV mission planning: A comparison of approa...
with: Braunegg, A.: Apricot: A Dataset of Physical Adversarial Attacks on Ob...
with: Chakraborty, A.: Apricot: A Dataset of Physical Adversarial Attacks on...
with: Deittert, M.: Constrained UAV mission planning: A comparison of approa...
with: Krumdick, M.: Apricot: A Dataset of Physical Adversarial Attacks on Ob...
with: Lape, N.: Apricot: A Dataset of Physical Adversarial Attacks on Object...
with: Manville, K.: Apricot: A Dataset of Physical Adversarial Attacks on Ob...
with: Merkhofer, E.: Apricot: A Dataset of Physical Adversarial Attacks on O...
with: Strickhart, L.: Apricot: A Dataset of Physical Adversarial Attacks on ...
with: Walmer, M.: Apricot: A Dataset of Physical Adversarial Attacks on Obje...
10 for Leary, S.