Andrew Rabinovich

50 papers A* 8Journal 27Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Delayed Feedback Modeling with Influence Functions. AAAI Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich
2026	—	`conf`	Enhancing Job Search Effectiveness with LLM-Powered Context-Aware Query Reformulation. ECIR (4) Quang Hieu Vu, Behnaz Nojavanasghari, Frank Yang, Andrew Rabinovich
2026	A*	`conf`	FilterRec: An Intent-Aware Framework for Dynamic Filter Recommendation. WWW Dingxian Wang, Jiacheng Dong, Jiaqi Deng, Jing Long, Ted Liu, George Barelas, Arya Taylor, Spyros Kapnissis, Frank Yang, Andrew Rabinovich, Guandong Xu
2026	J	`jnl`	SODA: Semantic-Oriented Distributional Alignment for Generative Recommendation. CoRR Ziqi Xue, Dingxian Wang, Yimeng Bai, Shuai Zhu, Jialei Li, Xiaoyan Zhao, Frank Yang, Andrew Rabinovich, Yang Zhang, Pablo N. Mendes
2026	J	`jnl`	UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization. CoRR Jialei Li, Yang Zhang, Yimeng Bai, Shuai Zhu, Ziqi Xue, Xiaoyan Zhao, Dingxian Wang, Frank Yang, Andrew Rabinovich, Xiangnan He
2025	J	`jnl`	Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation. CoRR Yimeng Bai, Chang Liu, Yang Zhang, Dingxian Wang, Frank Yang, Andrew Rabinovich, Wenge Rong, Fuli Feng
2025	—	`conf`	DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications. EMNLP (Industry Track) Joachim Daiber, Victor Maricato, Ayan Sinha, Andrew Rabinovich
2025	J	`jnl`	GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace. CoRR Mikolaj Sacha, Hammad Jafri, Mattie Terzolo, Ayan Sinha, Andrew Rabinovich
2025	J	`jnl`	UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI. CoRR Darvin Yi, Teng Liu, Mattie Terzolo, Lance Hasson, Ayan Sinha, Pablo Mendes, Andrew Rabinovich
2020	—	`conf`	Atlas: End-to-End 3D Scene Reconstruction from Posed Images. ECCV (7) Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich
2020	J	`jnl`	Atlas: End-to-End 3D Scene Reconstruction from Posed Images. CoRR Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich
2020	—	`conf`	DELTAS: Depth Estimation by Learning Triangulation and Densification of Sparse Points. ECCV (21) Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich
2020	J	`jnl`	Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo. CoRR Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich
2020	J	`jnl`	MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality. CoRR Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich
2020	J	`jnl`	Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes. CoRR Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich
2020	A*	`conf`	SuperGlue: Learning Feature Matching With Graph Neural Networks. CVPR Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
2019	J	`jnl`	DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences. CoRR Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich
2019	J	`jnl`	Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices. CoRR Prajwal Chidananda, Ayan Sinha, Adithya Rao, Douglas Lee, Andrew Rabinovich
2019	—	`conf`	EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation. ICCV Workshops Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Vijay Badrinarayanan, Andrew Rabinovich
2019	J	`jnl`	EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding. CoRR Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich
2019	J	`jnl`	SuperGlue: Learning Feature Matching with Graph Neural Networks. CoRR Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
2018	—	`conf`	Estimating Depth from RGB and Sparse Sensing. ECCV (4) Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich
2018	J	`jnl`	Estimating Depth from RGB and Sparse Sensing. CoRR Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich
2018	A*	`conf`	GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. ICML Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich
2018	J	`jnl`	Gradient Adversarial Training of Neural Networks. CoRR Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich
2018	J	`jnl`	Self-Improving Visual Odometry. CoRR Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
2018	—	`conf`	SuperPoint: Self-Supervised Interest Point Detection and Description. CVPR Workshops Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
2017	J	`jnl`	GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. CoRR Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich
2017	A*	`conf`	RoomNet: End-to-End Room Layout Estimation. ICCV Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich
2017	J	`jnl`	RoomNet: End-to-End Room Layout Estimation. CoRR Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich
2017	J	`jnl`	SuperPoint: Self-Supervised Interest Point Detection and Description. CoRR Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
2017	J	`jnl`	Toward Geometric Deep SLAM. CoRR Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
2016	J	`jnl`	Deep Cuboid Detection: Beyond 2D Bounding Boxes. CoRR Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich
2016	J	`jnl`	Deep Image Homography Estimation. CoRR Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
2015	A*	`conf`	Going deeper with convolutions. CVPR Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
2015	J	`jnl`	ParseNet: Looking Wider to See Better. CoRR Wei Liu, Andrew Rabinovich, Alexander C. Berg
2015	—	`conf`	Self-informed neural network structure learning. ICLR (Workshop) David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov
2015	—	`conf`	Training Deep Neural Networks on Noisy Labels with Bootstrapping. ICLR (Workshop) Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich
2015	—	`conf`	What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. HLT-NAACL Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy
2015	J	`jnl`	What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
2014	J	`jnl`	Going Deeper with Convolutions. CoRR Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
2013	J	`jnl`	Using Web Co-occurrence Statistics for Improving Image Categorization. CoRR Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc V. Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
2009	—	`conf`	Scenes vs. objects: A comparative study of two approaches to context based recognition. CVPR Workshops Andrew Rabinovich, Serge J. Belongie
2008	—	`—`	Image segmentation and contextual modeling for object recognition. Andrew Rabinovich
2008	A*	`conf`	Object categorization using co-occurrence, location and appearance. CVPR Carolina Galleguillos, Andrew Rabinovich, Serge J. Belongie
2008	—	`conf`	Weakly Supervised Object Localization with Stable Segmentations. ECCV (1) Carolina Galleguillos, Boris Babenko, Andrew Rabinovich, Serge J. Belongie
2007	A*	`conf`	Objects in Context. ICCV Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora, Serge J. Belongie
2006	J	`jnl`	Framework for Parsing, Visualizing and Scoring Tissue Microarray Images. IEEE Trans. Inf. Technol. Biomed. Andrew Rabinovich, S. Krajewski, M. Krajewska, Ahmed Shabaik, Stephen M. Hewitt, Serge J. Belongie, J. C. Reed, Jeffrey H. Price
2006	—	`conf`	Model Order Selection and Cue Combination for Image Segmentation. CVPR (1) Andrew Rabinovich, Serge J. Belongie, Tilman Lange, Joachim M. Buhmann
2003	—	`conf`	Unsupervised Color Decomposition Of Histologically Stained Tissue Samples. NIPS Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price, Serge J. Belongie