An APRIORI-based Method for Frequent Composite Event Discovery in Videos. - Alexander Toshev; François Brémond; Monique Thonnat (ICVS, 2006)

Image Matching via Saliency Region Correspondences. - Alexander Toshev; Jianbo Shi; Kostas Daniilidis (CVPR, 2007)

Shape-based object recognition in videos using 3D synthetic object models. - Alexander Toshev; Ameesh Makadia; Kostas Daniilidis (CVPR, 2009)

Detecting and parsing architecture at city scale from range data. - Alexander Toshev; Philippos Mordohai; Ben Taskar (CVPR, 2010)

Object detection via boundary structure segmentation. - Alexander Toshev; Ben Taskar; Kostas Daniilidis (CVPR, 2010)

Cascaded Models for Articulated Pose Estimation. - Benjamin Sapp; Alexander Toshev; Ben Taskar (ECCV (2), 2010)

Shape-Based Object Detection via Boundary Structure Segmentation. - Alexander Toshev; Ben Taskar; Kostas Daniilidis (Int. J. Comput. Vis., 2012)

Deep Neural Networks for Object Detection. - Christian Szegedy; Alexander Toshev; Dumitru Erhan (NIPS, 2013)

Scalable Object Detection Using Deep Neural Networks. - Dumitru Erhan; Christian Szegedy; Alexander Toshev; Dragomir Anguelov (CVPR, 2014)

DeepPose: Human Pose Estimation via Deep Neural Networks. - Alexander Toshev; Christian Szegedy (CVPR, 2014)

Deep Convolutional Ranking for Multilabel Image Annotation. - Yunchao Gong; Yangqing Jia; Thomas Leung; Alexander Toshev; Sergey Ioffe (ICLR (Poster), 2014)

Show and tell: A neural image caption generator. - Oriol Vinyals; Alexander Toshev; Samy Bengio; Dumitru Erhan (CVPR, 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)

Generation and Comprehension of Unambiguous Object Descriptions. - Junhua Mao; Jonathan Huang; Alexander Toshev; Oana Camburu; Alan L. Yuille; Kevin Murphy 002 (CVPR, 2016)

Chained Predictions Using Convolutional Neural Networks. - Georgia Gkioxari; Alexander Toshev; Navdeep Jaitly (ECCV (4), 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 001 (ECCV (3), 2016)

Towards Accurate Multi-person Pose Estimation in the Wild. - George Papandreou; Tyler Zhu; Nori Kanazawa; Alexander Toshev; Jonathan Tompson; Chris Bregler; Kevin Murphy 002 (CVPR, 2017)

No Fuss Distance Metric Learning Using Proxies. - Yair Movshovitz-Attias; Alexander Toshev; Thomas K. Leung; Sergey Ioffe; Saurabh Singh (ICCV, 2017)

Sim2Real View Invariant Visual Servoing by Recurrent Control. - Fereshteh Sadeghi; Alexander Toshev; Eric Jang; Sergey Levine (CoRR, 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 Viewpoint Invariant Visual Servoing by Recurrent Control. - Fereshteh Sadeghi; Alexander Toshev; Eric Jang; Sergey Levine (CVPR, 2018)

Visual Representations for Semantic Target Driven Navigation. - Arsalan Mousavian; Alexander Toshev; Marek Fiser; Jana Kosecka; James Davidson (CoRR, 2018)

Self-supervisory Signals for Object Discovery and Detection. - Etienne Pot; Alexander Toshev; Jana Kosecka (CoRR, 2018)

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. - Kuan Fang; Alexander Toshev; Li Fei-Fei 001; Silvio Savarese (CVPR, 2019)

Evolving Space-Time Neural Architectures for Videos. - A. J. Piergiovanni; Anelia Angelova; Alexander Toshev; Michael S. Ryoo (ICCV, 2019)

Visual Representations for Semantic Target Driven Navigation. - Arsalan Mousavian; Alexander Toshev; Marek Fiser; Jana Kosecká; Ayzaan Wahid; James Davidson (ICRA, 2019)

Long Range Neural Navigation Policies for the Real World. - Ayzaan Wahid; Alexander Toshev; Marek Fiser; Tsang-Wei Edward Lee (IROS, 2019)

Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. - Fei Xia 002; William B. Shen; Chengshu Li 002; Priya Kasimbeg; Micael Tchapmi; Alexander Toshev; Roberto Martín-Martín; Silvio Savarese (CoRR, 2019)

Modeling Long-horizon Tasks as Sequential Interaction Landscapes. - Sören Pirk; Karol Hausman; Alexander Toshev; Mohi Khansari (CoRL, 2020)

Learning Object-conditioned Exploration using Distributed Soft Actor Critic. - Ayzaan Wahid; Austin Stone; Kevin Chen; Brian Ichter; Alexander Toshev (CoRL, 2020)

Adversarial Generative Grammars for Human Activity Prediction. - A. J. Piergiovanni; Anelia Angelova; Alexander Toshev; Michael S. Ryoo (ECCV (2), 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)

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. - Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Or Litany; Alexander Toshev; Silvio Savarese (CoRR, 2020)

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. - Fei Xia 002; William B. Shen; Chengshu Li 002; Priya Kasimbeg; Micael Tchapmi; Alexander Toshev; Roberto Martín-Martín; Silvio Savarese (IEEE Robotics Autom. Lett., 2020)

ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. - Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Or Litany; Alexander Toshev; Silvio Savarese (ICRA, 2021)

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; et al. (CoRL, 2022)

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. - Dhruv Shah; Peng Xu 010; Yao Lu 006; Ted Xiao; Alexander Toshev; Sergey Levine; Brian Ichter (ICLR, 2022)

GAUDI: A Neural Architect for Immersive 3D Scene Generation. - Miguel Ángel Bautista 001; Pengsheng Guo; Samira Abnar; Walter Talbott; Alexander Toshev; Zhuoyuan Chen; Laurent Dinh; Shuangfei Zhai; Hanlin Goh; Daniel Ulbricht; Afshin Dehghan; Joshua M. Susskind (NeurIPS, 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; et al. (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)

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 001; Anthony G. Francis; et al. (CoRR, 2022)

Perceptual Grouping in Vision-Language Models. - Kanchana Ranasinghe; Brandon McKinzie; Sachin Ravi; Yinfei Yang; Alexander Toshev; Jonathon Shlens (CoRR, 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 001 (IEEE Robotics Autom. Lett., 2022)

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. - Chen Chen 005; Bowen Zhang 002; Liangliang Cao; Jiguang Shen; Tom Gunter; Albin Madappally Jose; Alexander Toshev; Yantao Zheng; Jonathon Shlens; Ruoming Pang; Yinfei Yang (EMNLP, 2023)

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. - Yuhui Zhang; Brandon McKinzie; Zhe Gan; Vaishaal Shankar; Alexander Toshev (ICBINB, 2023)

Perceptual Grouping in Contrastive Vision-Language Models. - Kanchana Ranasinghe; Brandon McKinzie; Sachin Ravi; Yinfei Yang; Alexander Toshev; Jonathon Shlens (ICCV, 2023)

Robustness in Multimodal Learning under Train-Test Modality Mismatch. - Brandon McKinzie; Vaishaal Shankar; Joseph Yitan Cheng; Yinfei Yang; Jonathon Shlens; Alexander T. Toshev (ICML, 2023)

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. - Chen Chen 005; Bowen Zhang 002; Liangliang Cao; Jiguang Shen; Tom Gunter; Albin Madappally Jose; Alexander Toshev; Jonathon Shlens; Ruoming Pang; Yinfei Yang (CoRR, 2023)

On Robustness in Multimodal Learning. - Brandon McKinzie; Joseph Yitan Cheng; Vaishaal Shankar; Yinfei Yang; Jonathon Shlens; Alexander Toshev (CoRR, 2023)

Value function estimation using conditional diffusion models for control. - Bogdan Mazoure; Walter Talbott; Miguel Ángel Bautista 001; R. Devon Hjelm; Alexander Toshev; Joshua M. Susskind (CoRR, 2023)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li 001; Fei Xia 002; Alexandre Alahi; Rachid Alami 001; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (CoRR, 2023)

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts. - Erik A. Daxberger; Floris Weers; Bowen Zhang 002; Tom Gunter; Ruoming Pang; Marcin Eichner; Michael Emmersberger; Yinfei Yang; Alexander Toshev; Xianzhi Du (CoRR, 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)

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Anton Belyi; Haotian Zhang 005; Karanjeet Singh 003; et al. (ECCV (29), 2024)

Data Filtering Networks. - Alex Fang; Albin Madappally Jose; Amit Jain; Ludwig Schmidt; Alexander T. Toshev; Vaishaal Shankar (ICLR, 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 (ICLR, 2024)

Scalable Pre-training of Large Autoregressive Image Models. - Alaaeldin El-Nouby; Michal Klein; Shuangfei Zhai; Miguel Ángel Bautista 001; Vaishaal Shankar; Alexander T. Toshev; Joshua M. Susskind; Armand Joulin (ICML, 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 Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Grounding Multimodal Large Language Models in Actions. - Andrew Szot; Bogdan Mazoure; Harsh Agrawal; R. Devon Hjelm; Zsolt Kira; Alexander Toshev (NeurIPS, 2024)

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 (ICSR + AI, 2024)

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Floris Weers; Anton Belyi; Haotian Zhang 005; et al. (CoRR, 2024)

World-consistent Video Diffusion with Explicit 3D Modeling. - Qihang Zhang; Shuangfei Zhai; Miguel Ángel Bautista 001; Kevin Miao; Alexander Toshev; Joshua M. Susskind; Jiatao Gu (CoRR, 2024)

DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models. - Kevin Miao; Harsh Agrawal; Qihang Zhang; Federico Semeraro 003; Marco Cavallo; Jiatao Gu; Alexander Toshev (CoRR, 2024)

Multimodal Autoregressive Pre-training of Large Vision Encoders. - 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; et al. (CVPR, 2025)

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. - Andrew Szot; Bogdan Mazoure; Omar Attia; Aleksei Timofeev; Harsh Agrawal; R. Devon Hjelm; Zhe Gan; Zsolt Kira; Alexander Toshev (CVPR, 2025)

World-consistent Video Diffusion with Explicit 3D Modeling. - Qihang Zhang; Shuangfei Zhai; Miguel Ángel Bautista Martin; Kevin Miao; Alexander Toshev; Joshua M. Susskind; Jiatao Gu (CVPR, 2025)

On the Modeling Capabilities of Large Language Models for Sequential Decision Making. - Martin Klissarov; R. Devon Hjelm; Alexander T. Toshev; Bogdan Mazoure (ICLR, 2025)

MobileCLIP2: Improving Multi-Modal Reinforced Training. - Fartash Faghri; Pavan Kumar Anasosalu Vasu; Cem Koc; Vaishaal Shankar; Alexander T. Toshev; Oncel Tuzel; Hadi Pouransari (Trans. Mach. Learn. Res., 2025)

Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality. - Alex Fang; Hadi Pouransari; Matt Jordan; Alexander Toshev; Vaishaal Shankar; Ludwig Schmidt; Tom Gunter (CoRR, 2025)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li 002; Fei Xia 002; Alexandre Alahi; Rachid Alami 001; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (ACM Trans. Hum. Robot Interact., 2025)