Gregory Shakhnarovich

Paul A. Viola, Gregory Shakhnarovich, Baback Moghaddam, 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

Confidence from Invariance to Image Transformations pdf

Gregory Shakhnarovich, Yuval Bahat, Gregory Shakhnarovich, 2018, ArXiv.

Avoiding the "streetlight effect": tracking by exploring likelihood modes

Trevor Darrell, Gregory Shakhnarovich, Kristen Grauman, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Semantic Speech Retrieval With a Visually Grounded Model of Untranscribed Speech

Gregory Shakhnarovich, Karen Livescu, Herman Kamper, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Nonlinear physically-based models for decoding motor-cortical population activity

Michael J. Black, Gregory Shakhnarovich, Sung-Phil Kim, 2006, NIPS.

Viewpoint-aware object detection and pose estimation

Ronen Basri, Gregory Shakhnarovich, Meirav Galun, 2011, 2011 International Conference on Computer Vision.

NTIRE 2019 Challenge on Image Enhancement: Methods and Results

Fahad Shahbaz Khan, Radu Timofte, Ling Shao, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Learning task-specific similarity

Gregory Shakhnarovich, Gregory Shakhnarovich, 2005 .

Integrated face and gait recognition from multiple views

Trevor Darrell, Gregory Shakhnarovich, Lily Lee, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Deep Back-Projection Networks for Super-Resolution

Gregory Shakhnarovich, Norimichi Ukita, Muhammad Haris, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

A Systematic Exploration of Diversity in Machine Translation

Gregory Shakhnarovich, Chris Dyer, Kevin Gimpel, 2013, EMNLP.

A Bayesian approach to image-based visual hull reconstruction

Trevor Darrell, Gregory Shakhnarovich, Kristen Grauman, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Sparse Coding for Learning Interpretable Spatio-Temporal Primitives

Gregory Shakhnarovich, Raquel Urtasun, Taehwan Kim, 2010, NIPS.

Deep Back-ProjectiNetworks for Single Image Super-Resolution

Gregory Shakhnarovich, Norimichi Ukita, Muhammad Haris, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discriminative Re-ranking of Diverse Segmentations

Gregory Shakhnarovich, Dhruv Batra, Payman Yadollahpour, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

American Sign Language Fingerspelling Recognition in the Wild

Gregory Shakhnarovich, Diane Brentari, Karen Livescu, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results

A. Murat Tekalp, Radu Timofte, Chao Li, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Face recognition with image sets using manifold density divergence

Trevor Darrell, John Fisher, Gregory Shakhnarovich, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions

Gregory Shakhnarovich, Jingyu Shao, Ayan Chakrabarti, 2016, NIPS.

Recurrent Back-Projection Network for Video Super-Resolution

Gregory Shakhnarovich, Norimichi Ukita, Muhammad Haris, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Part and Attribute Discovery from Relative Annotations

Subhransu Maji, Gregory Shakhnarovich, Subhransu Maji, 2014, International Journal of Computer Vision.

Face Recognition in Subspaces

Gregory Shakhnarovich, Baback Moghaddam, B. Moghaddam, 2011, Handbook of Face Recognition.

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

Fast pose estimation with parameter-sensitive hashing

Trevor Darrell, Paul A. Viola, Gregory Shakhnarovich, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Comprehension-Guided Referring Expressions

Gregory Shakhnarovich, Ruotian Luo, Gregory Shakhnarovich, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Boosted Dyadic Kernel Discriminants

Gregory Shakhnarovich, Baback Moghaddam, 2002, NIPS.

Object Recognition using Locality Sensitive Hashing of Shape Contexts

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

Examining the Impact of Blur on Recognition by Convolutional Networks pdf

Gregory Shakhnarovich, Ayan Chakrabarti, Igor Vasiljevic, 2016, ArXiv.

Discriminative Metric Learning by Neighborhood Gerrymandering

Gregory Shakhnarovich, David A. McAllester, Shubhendu Trivedi, 2014, NIPS.

Self-Supervised Depth Learning for Urban Scene Understanding pdf

Gregory Shakhnarovich, Huaizu Jiang, Michael Maire, 2017, ArXiv.

Analysis of diversity-accuracy tradeoff in image captioning pdf

Gregory Shakhnarovich, Ruotian Luo, Gregory Shakhnarovich, 2020, ArXiv.

Part Discovery from Partial Correspondence

Subhransu Maji, Gregory Shakhnarovich, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Nearest-Neighbor Methods in Learning and Vision

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2008, IEEE Trans. Neural Networks.

Fingerspelling Recognition with Semi-Markov Conditional Random Fields

Gregory Shakhnarovich, Karen Livescu, Taehwan Kim, 2013, 2013 IEEE International Conference on Computer Vision.

Part Annotations via Pairwise Correspondence

Subhransu Maji, Gregory Shakhnarovich, 2012, HCOMP@AAAI.

On probabilistic combination of face and gait cues for identification

Trevor Darrell, Gregory Shakhnarovich, 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

Visually Grounded Learning of Keyword Prediction from Untranscribed Speech

Gregory Shakhnarovich, Karen Livescu, Herman Kamper, 2017, INTERSPEECH.

Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation

Ran El-Yaniv, Gregory Shakhnarovich, Yoram Baram, 2001, ICML.

Face Recognition from Long-Term Observations

Trevor Darrell, John W. Fisher, Gregory Shakhnarovich, 2002, ECCV.

Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes

Trevor Darrell, Gregory Shakhnarovich, Kristen Grauman, 2004, ECCV Workshop SMVP.

Learning Representations for Automatic Colorization pdf

Gregory Shakhnarovich, Michael Maire, Gustav Larsson, 2016, ECCV.

Colorization as a Proxy Task for Visual Understanding

Gregory Shakhnarovich, Michael Maire, Gustav Larsson, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Natural and Adversarial Error Detection using Invariance to Image Transformations pdf

Gregory Shakhnarovich, Michal Irani, Yuval Bahat, 2019, ArXiv.

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results

Dong-Wook Kim, Lei Zhang, Fahad Shahbaz Khan, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Conditional Random People: Tracking Humans with CRFs and Grid Filters

Trevor Darrell, Gregory Shakhnarovich, Leonid Taycher, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Locality-Sensitive Hashing Using Stable Distributions

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

Task-Driven Super Resolution: Object Detection in Low-resolution Images pdf

Gregory Shakhnarovich, Norimichi Ukita, Muhammad Haris, 2018, ICONIP.

A Consistent Estimator of the Expected Gradient Outerproduct

Gregory Shakhnarovich, Jialei Wang, Samory Kpotufe, 2014, UAI.

Classification Confidence Estimation with Test-Time Data-Augmentation pdf

Gregory Shakhnarovich, Yuval Bahat, Gregory Shakhnarovich, 2020, ArXiv.

Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection

Subhransu Maji, Gregory Shakhnarovich, Ejaz Ahmed, 2014, ECCV.

FractalNet: Ultra-Deep Neural Networks without Residuals pdf

Gregory Shakhnarovich, Michael Maire, Gustav Larsson, 2016, ICLR.