Alexander Toshev

97 papers A* 25A 1C 1Misc 3Journal 58Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expanding LLM Agent Boundaries with Strategy-Guided Exploration.
CoRR
Andrew Szot, Michael Kirchhof, Omar Attia, Alexander Toshev
2025 J jnl
Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality.
CoRR
Alex Fang, Hadi Pouransari, Matt Jordan, Alexander Toshev, Vaishaal Shankar, Ludwig Schmidt, Tom Gunter
2025 J jnl
Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents.
CoRR
Zhen Yang, Zi-Yi Dou, Di Feng, Forrest Huang, Anh Nguyen, Keen You, Omar Attia, Yuhao Yang, Michael Feng, Haotian Zhang, Ram Ramrakhya, Chao Jia, Jeffrey Nichols, Alexander Toshev, Yinfei Yang, Zhe Gan
2025 A* conf
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons.
CVPR
Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev
2025 J jnl
GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning.
CoRR
Silvia Sapora, R. Devon Hjelm, Alexander Toshev, Omar Attia, Bogdan Mazoure
2025 J jnl
MobileCLIP2: Improving Multi-Modal Reinforced Training.
CoRR
Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Alexander Toshev, Oncel Tuzel, Hadi Pouransari
2025 A* conf
Multimodal Autoregressive Pre-training of Large Vision Encoders.
CVPR
Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor G. Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby
2025 J jnl
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.
ACM Trans. Hum. Robot Interact.
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 Martín-Martín
2025 J jnl
Scaling Synthetic Task Generation for Agents via Exploration.
CoRR
Ram Ramrakhya, Andrew Szot, Omar Attia, Yuhao Yang, Anh Nguyen, Bogdan Mazoure, Zhe Gan, Harsh Agrawal, Alexander Toshev
2025 J jnl
UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action.
CoRR
Yuhao Yang, Zhen Yang, Zi-Yi Dou, Anh Nguyen, Keen You, Omar Attia, Andrew Szot, Michael Feng, Ram Ramrakhya, Alexander Toshev, Chao Huang, Yinfei Yang, Zhe Gan
2025 A* conf
World-consistent Video Diffusion with Explicit 3D Modeling.
CVPR
Qihang Zhang, Shuangfei Zhai, Miguel Ángel Bautista Martin, Kevin Miao, Alexander Toshev, Joshua M. Susskind, Jiatao Gu
2024 J jnl
DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models.
CoRR
Kevin Miao, Harsh Agrawal, Qihang Zhang, Federico Semeraro, Marco Cavallo, Jiatao Gu, Alexander Toshev
2024 A* conf
DataComp-LM: In search of the next generation of training sets for language models.
NeurIPS
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. 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, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024 J jnl
DataComp-LM: In search of the next generation of training sets for language models.
CoRR
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 F. 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
2024 J jnl
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons.
CoRR
Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev
2024 — conf
Gesture2Path: Imitation Learning for Gesture-Aware Navigation.
ICSR + AI
Catie Cuan, Tsang-Wei Edward Lee, Emre Fisher, Anthony G. Francis, Leila Takayama, Tingnan Zhang, Alexander Toshev, Sören Pirk
2024 A* conf
Grounding Multimodal Large Language Models in Actions.
NeurIPS
Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
2024 J jnl
Grounding Multimodal Large Language Models in Actions.
CoRR
Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
2024 J jnl
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.
CoRR
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
2024 — conf
MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training.
ECCV (29)
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
2024 J jnl
On the Modeling Capabilities of Large Language Models for Sequential Decision Making.
CoRR
Martin Klissarov, R. Devon Hjelm, Alexander Toshev, Bogdan Mazoure
2024 A* conf
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation.
EMNLP
Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev
2024 J jnl
Scalable Pre-training of Large Autoregressive Image Models.
CoRR
Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin
2024 J jnl
World-consistent Video Diffusion with Explicit 3D Modeling.
CoRR
Qihang Zhang, Shuangfei Zhai, Miguel Ángel Bautista, Kevin Miao, Alexander Toshev, Joshua M. Susskind, Jiatao Gu
2023 J jnl
Data Filtering Networks.
CoRR
Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander Toshev, Vaishaal Shankar
2023 J jnl
Large Language Models as Generalizable Policies for Embodied Tasks.
CoRR
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
2023 J jnl
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts.
CoRR
Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du
2023 J jnl
On Robustness in Multimodal Learning.
CoRR
Brandon McKinzie, Joseph Yitan Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev
2023 A* conf
Perceptual Grouping in Contrastive Vision-Language Models.
ICCV
Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens
2023 — conf
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation.
ICBINB
Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev
2023 J jnl
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation.
CoRR
Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev
2023 J jnl
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.
CoRR
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
2023 A* conf
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.
EMNLP
Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang
2023 J jnl
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.
CoRR
Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang
2023 J jnl
Value function estimation using conditional diffusion models for control.
CoRR
Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind
2022 J jnl
A Protocol for Validating Social Navigation Policies.
CoRR
Sören Pirk, Tsang-Wei Edward Lee, Xuesu Xiao, Leila Takayama, Anthony G. Francis, Alexander Toshev
2022 Misc conf
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRL
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
2022 J jnl
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRR
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
2022 A* conf
GAUDI: A Neural Architect for Immersive 3D Scene Generation.
NeurIPS
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
2022 J jnl
GAUDI: A Neural Architect for Immersive 3D Scene Generation.
CoRR
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
2022 J jnl
Gesture2Path: Imitation Learning for Gesture-aware Navigation.
CoRR
Catie Cuan, Tsang-Wei Edward Lee, Emre Fisher, Anthony G. Francis, Leila Takayama, Tingnan Zhang, Alexander Toshev, Sören Pirk
2022 J jnl
Perceptual Grouping in Vision-Language Models.
CoRR
Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens
2022 J jnl
Retrospectives on the Embodied AI Workshop.
CoRR
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
2022 J jnl
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation.
IEEE Robotics Autom. Lett.
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
2022 J jnl
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation.
CoRR
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
2022 A* conf
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning.
ICLR
Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter
2021 A* conf
ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation.
ICRA
Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese
2021 J jnl
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning.
CoRR
Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter
2020 — conf
Adversarial Generative Grammars for Human Activity Prediction.
ECCV (2)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2020 J jnl
Adversarial Generative Grammars for Human Activity Prediction.
CoRR
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2020 J jnl
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments.
IEEE Robotics Autom. Lett.
Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese
2020 Misc conf
Learning Object-conditioned Exploration using Distributed Soft Actor Critic.
CoRL
Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev
2020 J jnl
Learning Object-conditioned Exploration using Distributed Soft Actor Critic.
CoRR
Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev
2020 Misc conf
Modeling Long-horizon Tasks as Sequential Interaction Landscapes.
CoRL
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari
2020 J jnl
Modeling Long-horizon Tasks as Sequential Interaction Landscapes.
CoRR
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari
2020 J jnl
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.
CoRR
Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, Erik Wijmans
2020 J jnl
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation.
CoRR
Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese
2019 A* conf
Evolving Space-Time Neural Architectures for Videos.
ICCV
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2019 J jnl
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments.
CoRR
Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese
2019 A conf
Long Range Neural Navigation Policies for the Real World.
IROS
Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee
2019 J jnl
Long Range Neural Navigation Policies for the Real World.
CoRR
Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee
2019 A* conf
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks.
CVPR
Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
2019 J jnl
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks.
CoRR
Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
2019 A* conf
Visual Representations for Semantic Target Driven Navigation.
ICRA
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecká, Ayzaan Wahid, James Davidson
2018 J jnl
Evolving Space-Time Neural Architectures for Videos.
CoRR
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2018 J jnl
Self-supervisory Signals for Object Discovery and Detection.
CoRR
Etienne Pot, Alexander Toshev, Jana Kosecka
2018 A* conf
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control.
CVPR
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine
2018 J jnl
Visual Representations for Semantic Target Driven Navigation.
CoRR
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson
2017 A* conf
No Fuss Distance Metric Learning Using Proxies.
ICCV
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh
2017 J jnl
No Fuss Distance Metric Learning using Proxies.
CoRR
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh
2017 J jnl
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge.
IEEE Trans. Pattern Anal. Mach. Intell.
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
2017 J jnl
Sim2Real View Invariant Visual Servoing by Recurrent Control.
CoRR
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine
2017 A* conf
Towards Accurate Multi-person Pose Estimation in the Wild.
CVPR
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy
2017 J jnl
Towards Accurate Multi-person Pose Estimation in the Wild.
CoRR
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy
2016 — conf
Chained Predictions Using Convolutional Neural Networks.
ECCV (4)
Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
2016 J jnl
Chained Predictions Using Convolutional Neural Networks.
CoRR
Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
2016 A* conf
Generation and Comprehension of Unambiguous Object Descriptions.
CVPR
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
2016 J jnl
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge.
CoRR
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
2016 — conf
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition.
ECCV (3)
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
2015 J jnl
Generation and Comprehension of Unambiguous Object Descriptions.
CoRR
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
2015 J jnl
Pose Embeddings: A Deep Architecture for Learning to Match Human Poses.
CoRR
Greg Mori, Caroline Pantofaru, Nisarg Kothari, Thomas Leung, George Toderici, Alexander Toshev, Weilong Yang
2015 A* conf
Show and tell: A neural image caption generator.
CVPR
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
2015 J jnl
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition.
CoRR
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
2014 — conf
Deep Convolutional Ranking for Multilabel Image Annotation.
ICLR (Poster)
Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe
2014 A* conf
DeepPose: Human Pose Estimation via Deep Neural Networks.
CVPR
Alexander Toshev, Christian Szegedy
2014 A* conf
Scalable Object Detection Using Deep Neural Networks.
CVPR
Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov
2014 J jnl
Show and Tell: A Neural Image Caption Generator.
CoRR
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
2013 — conf
Deep Neural Networks for Object Detection.
NIPS
Christian Szegedy, Alexander Toshev, Dumitru Erhan
2013 J jnl
DeepPose: Human Pose Estimation via Deep Neural Networks.
CoRR
Alexander Toshev, Christian Szegedy
2013 J jnl
Scalable Object Detection using Deep Neural Networks.
CoRR
Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov
2012 J jnl
Shape-Based Object Detection via Boundary Structure Segmentation.
Int. J. Comput. Vis.
Alexander Toshev, Ben Taskar, Kostas Daniilidis
2010 — conf
Cascaded Models for Articulated Pose Estimation.
ECCV (2)
Benjamin Sapp, Alexander Toshev, Ben Taskar
2010 A* conf
Detecting and parsing architecture at city scale from range data.
CVPR
Alexander Toshev, Philippos Mordohai, Ben Taskar
2010 A* conf
Object detection via boundary structure segmentation.
CVPR
Alexander Toshev, Ben Taskar, Kostas Daniilidis
2009 A* conf
Shape-based object recognition in videos using 3D synthetic object models.
CVPR
Alexander Toshev, Ameesh Makadia, Kostas Daniilidis
2007 A* conf
Image Matching via Saliency Region Correspondences.
CVPR
Alexander Toshev, Jianbo Shi, Kostas Daniilidis
2006 C conf
An APRIORI-based Method for Frequent Composite Event Discovery in Videos.
ICVS
Alexander Toshev, François Brémond, Monique Thonnat