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2020 – today
- 2020
[c18]Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperGlue: Learning Feature Matching With Graph Neural Networks. CVPR 2020: 4937-4946- [c17]Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich:
DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points. ECCV (21) 2020: 104-121 - [c16]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: 414-431 - [i21]Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich:
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes. CoRR abs/2003.07356 (2020) - [i20]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 abs/2003.08806 (2020) - [i19]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 abs/2003.08933 (2020) - [i18]Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich:
Atlas: End-to-End 3D Scene Reconstruction from Posed Images. CoRR abs/2003.10432 (2020)
2010 – 2019
- 2019
- [c15]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: 3683-3687 - [i17]Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich:
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences. CoRR abs/1904.11595 (2019) - [i16]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 abs/1908.09060 (2019) - [i15]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 abs/1909.05897 (2019) - [i14]Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperGlue: Learning Feature Matching with Graph Neural Networks. CoRR abs/1911.11763 (2019) - 2018
- [c14]Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperPoint: Self-Supervised Interest Point Detection and Description. CVPR Workshops 2018: 224-236 - [c13]Zhao Chen
, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich:
Estimating Depth from RGB and Sparse Sensing. ECCV (4) 2018: 176-192 - [c12]Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich:
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. ICML 2018: 793-802 - [i13]Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich:
Estimating Depth from RGB and Sparse Sensing. CoRR abs/1804.02771 (2018) - [i12]Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich:
Gradient Adversarial Training of Neural Networks. CoRR abs/1806.08028 (2018) - [i11]Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
Self-Improving Visual Odometry. CoRR abs/1812.03245 (2018) - 2017
- [c11]Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich:
RoomNet: End-to-End Room Layout Estimation. ICCV 2017: 4875-4884 - [i10]Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich:
RoomNet: End-to-End Room Layout Estimation. CoRR abs/1703.06241 (2017) - [i9]Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
Toward Geometric Deep SLAM. CoRR abs/1707.07410 (2017) - [i8]Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich:
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. CoRR abs/1711.02257 (2017) - [i7]Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperPoint: Self-Supervised Interest Point Detection and Description. CoRR abs/1712.07629 (2017) - 2016
- [i6]Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
Deep Image Homography Estimation. CoRR abs/1606.03798 (2016) - [i5]Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich:
Deep Cuboid Detection: Beyond 2D Bounding Boxes. CoRR abs/1611.10010 (2016) - 2015
- [c10]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: 1-9 - [c9]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: 143-152 - [c8]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 - [c7]David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov:
Self-informed neural network structure learning. ICLR (Workshop) 2015 - [i4]Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy:
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR abs/1503.01558 (2015) - [i3]Wei Liu, Andrew Rabinovich, Alexander C. Berg:
ParseNet: Looking Wider to See Better. CoRR abs/1506.04579 (2015) - 2014
- [i2]Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich:
Going Deeper with Convolutions. CoRR abs/1409.4842 (2014) - 2013
- [i1]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 abs/1312.5697 (2013)
2000 – 2009
- 2009
- [c6]Andrew Rabinovich, Serge J. Belongie:
Scenes vs. objects: A comparative study of two approaches to context based recognition. CVPR Workshops 2009: 92-99 - 2008
- [b1]Andrew Rabinovich:
Image segmentation and contextual modeling for object recognition. University of California, San Diego, USA, 2008 - [c5]Carolina Galleguillos, Andrew Rabinovich, Serge J. Belongie:
Object categorization using co-occurrence, location and appearance. CVPR 2008 - [c4]Carolina Galleguillos, Boris Babenko, Andrew Rabinovich, Serge J. Belongie:
Weakly Supervised Object Localization with Stable Segmentations. ECCV (1) 2008: 193-207 - 2007
- [c3]Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora, Serge J. Belongie:
Objects in Context. ICCV 2007: 1-8 - 2006
- [j1]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): 209-219 (2006) - [c2]Andrew Rabinovich, Serge J. Belongie, Tilman Lange, Joachim M. Buhmann:
Model Order Selection and Cue Combination for Image Segmentation. CVPR (1) 2006: 1130-1137 - 2003
- [c1]Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price, Serge J. Belongie:
Unsupervised Color Decomposition Of Histologically Stained Tissue Samples. NIPS 2003: 667-674
Coauthor Index
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