Andrew Rabinovich

ORCID

Publication Activity (10 Years)

Years Active: 2003-2020
Publications (10 Years): 31

Top Venues

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich
Atlas: End-to-End 3D Scene Reconstruction from Posed Images. ECCV (7) (2020)
Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich
DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points. ECCV (21) (2020)
Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes. CoRR (2020)
Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich
Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo. CoRR (2020)
Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich
MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality. CoRR (2020)
Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich
Atlas: End-to-End 3D Scene Reconstruction from Posed Images. CoRR (2020)
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
SuperGlue: Learning Feature Matching With Graph Neural Networks. CVPR (2020)
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
SuperGlue: Learning Feature Matching with Graph Neural Networks. CoRR (2019)
Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding. CoRR (2019)
Prajwal Chidananda, Ayan Sinha, Adithya Rao, Douglas Lee, Andrew Rabinovich
Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices. CoRR (2019)
Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences. CoRR (2019)
Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Vijay Badrinarayanan, Andrew Rabinovich
EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation. ICCV Workshops (2019)
Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich
Gradient Adversarial Training of Neural Networks. CoRR (2018)
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. ICML (2018)
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
SuperPoint: Self-Supervised Interest Point Detection and Description. CVPR Workshops (2018)
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
Self-Improving Visual Odometry. CoRR (2018)
Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich
Estimating Depth from RGB and Sparse Sensing. ECCV (4) (2018)
Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich
Estimating Depth from RGB and Sparse Sensing. CoRR (2018)
Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich
RoomNet: End-to-End Room Layout Estimation. CoRR (2017)
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
SuperPoint: Self-Supervised Interest Point Detection and Description. CoRR (2017)
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. CoRR (2017)
Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich
RoomNet: End-to-End Room Layout Estimation. ICCV (2017)
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
Toward Geometric Deep SLAM. CoRR (2017)
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
Deep Image Homography Estimation. CoRR (2016)
Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich
Deep Cuboid Detection: Beyond 2D Bounding Boxes. CoRR (2016)
Wei Liu, Andrew Rabinovich, Alexander C. Berg
ParseNet: Looking Wider to See Better. CoRR (2015)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR (2015)
David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov
Self-informed neural network structure learning. ICLR (Workshop) (2015)
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
Going deeper with convolutions. CVPR (2015)
Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich
Training Deep Neural Networks on Noisy Labels with Bootstrapping. ICLR (Workshop) (2015)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. HLT-NAACL (2015)
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
Going Deeper with Convolutions. CoRR (2014)
Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc V. Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
Using Web Co-occurrence Statistics for Improving Image Categorization. CoRR (2013)
Andrew Rabinovich, Serge J. Belongie
Scenes vs. objects: A comparative study of two approaches to context based recognition. CVPR Workshops (2009)
Carolina Galleguillos, Boris Babenko, Andrew Rabinovich, Serge J. Belongie
Weakly Supervised Object Localization with Stable Segmentations. ECCV (1) (2008)
Carolina Galleguillos, Andrew Rabinovich, Serge J. Belongie
Object categorization using co-occurrence, location and appearance. CVPR (2008)
Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora, Serge J. Belongie
Objects in Context. ICCV (2007)
Andrew Rabinovich, S. Krajewski, M. Krajewska, Ahmed Shabaik, Stephen M. Hewitt, Serge J. Belongie, J. C. Reed, Jeffrey H. Price
Framework for Parsing, Visualizing and Scoring Tissue Microarray Images. IEEE Trans. Inf. Technol. Biomed. 10 (2) (2006)
Andrew Rabinovich, Serge J. Belongie, Tilman Lange, Joachim M. Buhmann
Model Order Selection and Cue Combination for Image Segmentation. CVPR (1) (2006)
Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price, Serge J. Belongie
Unsupervised Color Decomposition Of Histologically Stained Tissue Samples. NIPS (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrew Rabinovich