Alexander Toshev

According to our database, Alexander Toshev authored at least 62 papers between 2006 and 2024.

Collaborative distances:

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

2024

On the Modeling Capabilities of Large Language Models for Sequential Decision Making.

Martin Klissarov, R. Devon Hjelm, Alexander Toshev, Bogdan Mazoure

CoRR, 2024

DataComp-LM: In search of the next generation of training sets for language models.

Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

CoRR, 2024

Grounding Multimodal Large Language Models in Actions.

Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev

CoRR, 2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

CoRR, 2024

Scalable Pre-training of Large Autoregressive Image Models.

Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models as Generalizable Policies for Embodied Tasks.

Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Data Filtering Networks.

Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander T. Toshev, Vaishaal Shankar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Large Language Models as Generalizable Policies for Embodied Tasks.

Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev

CoRR, 2023

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts.

Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du

CoRR, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.

Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin

CoRR, 2023

Value function estimation using conditional diffusion models for control.

Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind

CoRR, 2023

On Robustness in Multimodal Learning.

Brandon McKinzie, Joseph Yitan Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev

CoRR, 2023

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.

Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang

CoRR, 2023

Robustness in Multimodal Learning under Train-Test Modality Mismatch.

Brandon McKinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T. Toshev

Proceedings of the International Conference on Machine Learning, 2023

Perceptual Grouping in Contrastive Vision-Language Models.

Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation.

Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.

Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation.

Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone

IEEE Robotics Autom. Lett., 2022

Perceptual Grouping in Vision-Language Models.

Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

CoRR, 2022

Retrospectives on the Embodied AI Workshop.

Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu

CoRR, 2022

Gesture2Path: Imitation Learning for Gesture-aware Navigation.

Catie Cuan, Tsang-Wei Edward Lee, Emre Fisher, Anthony G. Francis, Leila Takayama, Tingnan Zhang, Alexander Toshev, Sören Pirk

CoRR, 2022

A Protocol for Validating Social Navigation Policies.

Sören Pirk, Tsang-Wei Edward Lee, Xuesu Xiao, Leila Takayama, Anthony G. Francis, Alexander Toshev

CoRR, 2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan

CoRR, 2022

GAUDI: A Neural Architect for Immersive 3D Scene Generation.

Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning.

Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter

Proceedings of the Tenth International Conference on Learning Representations, 2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu

Proceedings of the Conference on Robot Learning, 2022

2021

ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation.

Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments.

Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese

IEEE Robotics Autom. Lett., 2020

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation.

Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

CoRR, 2020

ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.

Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, Erik Wijmans

CoRR, 2020

Adversarial Generative Grammars for Human Activity Prediction.

A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Object-conditioned Exploration using Distributed Soft Actor Critic.

Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev

Proceedings of the 4th Conference on Robot Learning, 2020

Modeling Long-horizon Tasks as Sequential Interaction Landscapes.

Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments.

Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese

CoRR, 2019

Long Range Neural Navigation Policies for the Real World.

Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Visual Representations for Semantic Target Driven Navigation.

Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecká, Ayzaan Wahid, James Davidson

Proceedings of the International Conference on Robotics and Automation, 2019

Evolving Space-Time Neural Architectures for Videos.

A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo

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

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks.

Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Self-supervisory Signals for Object Discovery and Detection.

Etienne Pot, Alexander Toshev, Jana Kosecka

CoRR, 2018

Visual Representations for Semantic Target Driven Navigation.

Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson

CoRR, 2018

Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control.

Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine

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

2017

Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge.

Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Sim2Real View Invariant Visual Servoing by Recurrent Control.

Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine

CoRR, 2017

No Fuss Distance Metric Learning Using Proxies.

Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh

Proceedings of the IEEE International Conference on Computer Vision, 2017

Towards Accurate Multi-person Pose Estimation in the Wild.

George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition.

Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

Chained Predictions Using Convolutional Neural Networks.

Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly

Proceedings of the Computer Vision - ECCV 2016, 2016

Generation and Comprehension of Unambiguous Object Descriptions.

Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Pose Embeddings: A Deep Architecture for Learning to Match Human Poses.

Greg Mori, Caroline Pantofaru, Nisarg Kothari, Thomas Leung, George Toderici, Alexander Toshev, Weilong Yang

CoRR, 2015

Show and tell: A neural image caption generator.

Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan

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

2014

Deep Convolutional Ranking for Multilabel Image Annotation.

Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe

Proceedings of the 2nd International Conference on Learning Representations, 2014

DeepPose: Human Pose Estimation via Deep Neural Networks.

Alexander Toshev, Christian Szegedy

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Scalable Object Detection Using Deep Neural Networks.

Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Deep Neural Networks for Object Detection.

Christian Szegedy, Alexander Toshev, Dumitru Erhan

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Shape-Based Object Detection via Boundary Structure Segmentation.

Alexander Toshev, Ben Taskar, Kostas Daniilidis

Int. J. Comput. Vis., 2012

2010

Cascaded Models for Articulated Pose Estimation.

Benjamin Sapp, Alexander Toshev, Ben Taskar

Proceedings of the Computer Vision, 2010

Object detection via boundary structure segmentation.

Alexander Toshev, Ben Taskar, Kostas Daniilidis

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Detecting and parsing architecture at city scale from range data.

Alexander Toshev, Philippos Mordohai, Ben Taskar

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Shape-based object recognition in videos using 3D synthetic object models.

Alexander Toshev, Ameesh Makadia, Kostas Daniilidis

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

Image Matching via Saliency Region Correspondences.

Alexander Toshev, Jianbo Shi, Kostas Daniilidis

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

An APRIORI-based Method for Frequent Composite Event Discovery in Videos.

Alexander Toshev, François Brémond, Monique Thonnat

Proceedings of the 2006 IEEE International Conference on Computer Vision Systems, 2006