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Publication search results
found 44 matches
- 2020
- Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperGlue: Learning Feature Matching With Graph Neural Networks. CVPR 2020: 4937-4946 - 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 - 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 - Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich:
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes. CoRR abs/2003.07356 (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 abs/2003.08806 (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 abs/2003.08933 (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 abs/2003.10432 (2020) - 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: 3683-3687 - 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) - 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) - 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) - Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperGlue: Learning Feature Matching with Graph Neural Networks. CoRR abs/1911.11763 (2019) - 2018
- Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperPoint: Self-Supervised Interest Point Detection and Description. CVPR Workshops 2018: 224-236 - Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich:
Estimating Depth from RGB and Sparse Sensing. ECCV (4) 2018: 176-192 - Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich:
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. ICML 2018: 793-802 - Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich:
Estimating Depth from RGB and Sparse Sensing. CoRR abs/1804.02771 (2018) - Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich:
Gradient Adversarial Training of Neural Networks. CoRR abs/1806.08028 (2018) - Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
Self-Improving Visual Odometry. CoRR abs/1812.03245 (2018) - 2017
- Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich:
RoomNet: End-to-End Room Layout Estimation. ICCV 2017: 4875-4884 - Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
Toward Geometric Deep SLAM. CoRR abs/1707.07410 (2017) - Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich:
RoomNet: End-to-End Room Layout Estimation. CoRR abs/1703.06241 (2017) - 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) - Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperPoint: Self-Supervised Interest Point Detection and Description. CoRR abs/1712.07629 (2017) - 2016
- Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
Deep Image Homography Estimation. CoRR abs/1606.03798 (2016) - Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich:
Deep Cuboid Detection: Beyond 2D Bounding Boxes. CoRR abs/1611.10010 (2016) - 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: 1-9 - 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 - 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 - David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov:
Self-informed neural network structure learning. ICLR (Workshop) 2015 - Wei Liu, Andrew Rabinovich, Alexander C. Berg:
ParseNet: Looking Wider to See Better. CoRR abs/1506.04579 (2015)
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