Unsupervised Color Decomposition Of Histologically Stained Tissue Samples. - Andrew Rabinovich; Sameer Agarwal 001; Casey Laris; Jeffrey H. Price; Serge J. Belongie (NIPS, 2003)

Model Order Selection and Cue Combination for Image Segmentation. - Andrew Rabinovich; Serge J. Belongie; Tilman Lange; Joachim M. Buhmann (CVPR (1), 2006)

Framework for Parsing, Visualizing and Scoring Tissue Microarray Images. - Andrew Rabinovich; S. Krajewski; M. Krajewska; Ahmed Shabaik; Stephen M. Hewitt; Serge J. Belongie; J. C. Reed; Jeffrey H. Price (IEEE Trans. Inf. Technol. Biomed., 2006)

Objects in Context. - Andrew Rabinovich; Andrea Vedaldi; Carolina Galleguillos; Eric Wiewiora; Serge J. Belongie (ICCV, 2007)

Object categorization using co-occurrence, location and appearance. - Carolina Galleguillos; Andrew Rabinovich; Serge J. Belongie (CVPR, 2008)

Weakly Supervised Object Localization with Stable Segmentations. - Carolina Galleguillos; Boris Babenko; Andrew Rabinovich; Serge J. Belongie (ECCV (1), 2008)

Image segmentation and contextual modeling for object recognition. - Andrew Rabinovich (2008)

Scenes vs. objects: A comparative study of two approaches to context based recognition. - Andrew Rabinovich; Serge J. Belongie (CVPR Workshops, 2009)

Using Web Co-occurrence Statistics for Improving Image Categorization. - Samy Bengio; Jeffrey Dean; Dumitru Erhan; Eugene Ie; Quoc V. Le; Andrew Rabinovich; Jonathon Shlens; Yoram Singer (CoRR, 2013)

Going deeper with convolutions. - Christian Szegedy; Wei Liu 015; Yangqing Jia; Pierre Sermanet; Scott E. Reed; Dragomir Anguelov; Dumitru Erhan; Vincent Vanhoucke; Andrew Rabinovich (CVPR, 2015)

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. - Jonathan Malmaud; Jonathan Huang; Vivek Rathod; Nicholas Johnston; Andrew Rabinovich; Kevin Murphy 002 (HLT-NAACL, 2015)

ParseNet: Looking Wider to See Better. - Wei Liu 015; Andrew Rabinovich; Alexander C. Berg (CoRR, 2015)

Training Deep Neural Networks on Noisy Labels with Bootstrapping. - Scott E. Reed; Honglak Lee; Dragomir Anguelov; Christian Szegedy; Dumitru Erhan; Andrew Rabinovich (ICLR (Workshop), 2015)

Self-informed neural network structure learning. - David Warde-Farley; Andrew Rabinovich; Dragomir Anguelov (ICLR (Workshop), 2015)

Deep Image Homography Estimation. - Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CoRR, 2016)

Deep Cuboid Detection: Beyond 2D Bounding Boxes. - Debidatta Dwibedi; Tomasz Malisiewicz; Vijay Badrinarayanan; Andrew Rabinovich (CoRR, 2016)

RoomNet: End-to-End Room Layout Estimation. - Chen-Yu Lee; Vijay Badrinarayanan; Tomasz Malisiewicz; Andrew Rabinovich (ICCV, 2017)

Toward Geometric Deep SLAM. - Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CoRR, 2017)

SuperPoint: Self-Supervised Interest Point Detection and Description. - Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CVPR Workshops, 2018)

Estimating Depth from RGB and Sparse Sensing. - Zhao Chen 006; Vijay Badrinarayanan; Gilad Drozdov; Andrew Rabinovich (ECCV (4), 2018)

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. - Zhao Chen 006; Vijay Badrinarayanan; Chen-Yu Lee; Andrew Rabinovich (ICML, 2018)

Gradient Adversarial Training of Neural Networks. - Ayan Sinha; Zhao Chen 006; Vijay Badrinarayanan; Andrew Rabinovich (CoRR, 2018)

Self-Improving Visual Odometry. - Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CoRR, 2018)

EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation. - Zhengyang Wu 003; Srivignesh Rajendran; Tarrence van As; Vijay Badrinarayanan; Andrew Rabinovich (ICCV Workshops, 2019)

DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences. - Ameya Phalak; Zhao Chen 006; Darvin Yi; Khushi Gupta; Vijay Badrinarayanan; Andrew Rabinovich (CoRR, 2019)

EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding. - Zhengyang Wu 003; Srivignesh Rajendran; Tarrence van As; Joelle Zimmermann; Vijay Badrinarayanan; Andrew Rabinovich (CoRR, 2019)

Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices. - Prajwal Chidananda; Ayan Sinha; Adithya Rao; Douglas Lee; Andrew Rabinovich (CoRR, 2019)

SuperGlue: Learning Feature Matching With Graph Neural Networks. - Paul-Edouard Sarlin; Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CVPR, 2020)

Atlas: End-to-End 3D Scene Reconstruction from Posed Images. - Zak Murez; Tarrence van As; James Bartolozzi; Ayan Sinha; Vijay Badrinarayanan; Andrew Rabinovich (ECCV (7), 2020)

DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points. - Ayan Sinha; Zak Murez; James Bartolozzi; Vijay Badrinarayanan; Andrew Rabinovich (ECCV (21), 2020)

Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes. - Ameya Phalak; Vijay Badrinarayanan; Andrew Rabinovich (CoRR, 2020)

MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality. - Zhengyang Wu 003; Srivignesh Rajendran; Tarrence van As; Joelle Zimmermann; Vijay Badrinarayanan; Andrew Rabinovich (CoRR, 2020)

Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo. - Ayan Sinha; Zak Murez; James Bartolozzi; Vijay Badrinarayanan; Andrew Rabinovich (CoRR, 2020)