Andrew Rabinovich

According to our database, Andrew Rabinovich authored at least 43 papers between 2003 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

SODA: Semantic-Oriented Distributional Alignment for Generative Recommendation.

Ziqi Xue, Dingxian Wang, Yimeng Bai, Shuai Zhu, Jialei Li, Xiaoyan Zhao, Frank Yang, Andrew Rabinovich, Yang Zhang, Pablo N. Mendes

CoRR, March, 2026

UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization.

Jialei Li, Yang Zhang, Yimeng Bai, Shuai Zhu, Ziqi Xue, Xiaoyan Zhao, Dingxian Wang, Frank Yang, Andrew Rabinovich, Xiangnan He

CoRR, January, 2026

FilterRec: An Intent-Aware Framework for Dynamic Filter Recommendation.

Dingxian Wang, Jiacheng Dong, Jiaqi Deng, Jing Long, Ted Liu, George Barelas, Arya Taylor, Spyros Kapnissis, Frank Yang, Andrew Rabinovich, Guandong Xu

Proceedings of the ACM Web Conference 2026, 2026

Enhancing Job Search Effectiveness with LLM-Powered Context-Aware Query Reformulation.

Quang Hieu Vu, Behnaz Nojavanasghari, Frank Yang, Andrew Rabinovich

Proceedings of the Advances in Information Retrieval, 2026

Delayed Feedback Modeling with Influence Functions.

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace.

Mikolaj Sacha, Hammad Jafri, Mattie Terzolo, Ayan Sinha, Andrew Rabinovich

CoRR, December, 2025

UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI.

Darvin Yi, Teng Liu, Mattie Terzolo, Lance Hasson, Ayan Sinha, Pablo Mendes, Andrew Rabinovich

CoRR, November, 2025

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation.

Yimeng Bai, Chang Liu, Yang Zhang, Dingxian Wang, Frank Yang, Andrew Rabinovich, Wenge Rong, Fuli Feng

CoRR, October, 2025

From Black Box to Data Contract: Engineering Accountable AI Agents with UpFormat.

Karthik Gomadam Rajagopal, Pablo Mendes, Andrew Rabinovich

Proceedings of the Joint Proceedings of the 16th Workshop on Ontology Design and Patterns and the 1st Workshop on Bridging Hybrid Intelligence and the Semantic Web (WOP-HAIBRIDGE 2025) co-located with the 24th International Semantic Web Conference (ISWC 2025) Nara, 2025

DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications.

Joachim Daiber, Victor Maricato, Ayan Sinha, Andrew Rabinovich

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality.

Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2020

Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes.

Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2020

DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points.

Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich

Proceedings of the Computer Vision - ECCV 2020, 2020

Atlas: End-to-End 3D Scene Reconstruction from Posed Images.

Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich

Proceedings of the Computer Vision - ECCV 2020, 2020

SuperGlue: Learning Feature Matching With Graph Neural Networks.

Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding.

Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2019

DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences.

Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2019

EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation.

Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Vijay Badrinarayanan, Andrew Rabinovich

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Self-Improving Visual Odometry.

Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

CoRR, 2018

Gradient Adversarial Training of Neural Networks.

Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2018

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks.

Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich

Proceedings of the 35th International Conference on Machine Learning, 2018

Estimating Depth from RGB and Sparse Sensing.

Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich

Proceedings of the Computer Vision - ECCV 2018, 2018

SuperPoint: Self-Supervised Interest Point Detection and Description.

Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Toward Geometric Deep SLAM.

Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

CoRR, 2017

RoomNet: End-to-End Room Layout Estimation.

Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Deep Cuboid Detection: Beyond 2D Bounding Boxes.

Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich

CoRR, 2016

Deep Image Homography Estimation.

Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

CoRR, 2016

2015

Self-informed neural network structure learning.

David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov

Proceedings of the 3rd International Conference on Learning Representations, 2015

Training Deep Neural Networks on Noisy Labels with Bootstrapping.

Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich

Proceedings of the 3rd International Conference on Learning Representations, 2015

ParseNet: Looking Wider to See Better.

Wei Liu, Andrew Rabinovich, Alexander C. Berg

CoRR, 2015

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.

Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Going deeper with convolutions.

Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

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

2009

Scenes vs. objects: A comparative study of two approaches to context based recognition.

Andrew Rabinovich, Serge J. Belongie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008

Image segmentation and contextual modeling for object recognition.

Andrew Rabinovich

PhD thesis, 2008

Weakly Supervised Object Localization with Stable Segmentations.

Carolina Galleguillos, Boris Babenko, Andrew Rabinovich, Serge J. Belongie

Proceedings of the Computer Vision, 2008

Object categorization using co-occurrence, location and appearance.

Carolina Galleguillos, Andrew Rabinovich, Serge J. Belongie

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Objects in Context.

Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora, Serge J. Belongie

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

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

Model Order Selection and Cue Combination for Image Segmentation.

Andrew Rabinovich, Serge J. Belongie, Tilman Lange, Joachim M. Buhmann

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2003

Unsupervised Color Decomposition Of Histologically Stained Tissue Samples.

Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price, Serge J. Belongie

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003