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2020 – today
- 2024
[c37]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:
MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. ECCV (29) 2024: 304-323- [c36]Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev:
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. EMNLP 2024: 1281-1287 - [c35]Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander T. Toshev, Vaishaal Shankar:
Data Filtering Networks. ICLR 2024 - [c34]Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev:
Large Language Models as Generalizable Policies for Embodied Tasks. ICLR 2024 - [c33]Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin:
Scalable Pre-training of Large Autoregressive Image Models. ICML 2024 - [i43]Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin:
Scalable Pre-training of Large Autoregressive Image Models. CoRR abs/2401.08541 (2024) - [i42]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:
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR abs/2403.09611 (2024) - [i41]Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev:
Grounding Multimodal Large Language Models in Actions. CoRR abs/2406.07904 (2024) - [i40]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:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - [i39]Martin Klissarov, R. Devon Hjelm, Alexander Toshev, Bogdan Mazoure:
On the Modeling Capabilities of Large Language Models for Sequential Decision Making. CoRR abs/2410.05656 (2024) - 2023
- [c32]Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang:
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. EMNLP 2023: 15079-15094 - [c31]Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev:
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. ICBINB 2023: 127-133 - [c30]Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens:
Perceptual Grouping in Contrastive Vision-Language Models. ICCV 2023: 5548-5561 - [c29]Brandon McKinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T. Toshev:
Robustness in Multimodal Learning under Train-Test Modality Mismatch. ICML 2023: 24291-24303 - [i38]Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang:
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. CoRR abs/2301.13081 (2023) - [i37]Brandon McKinzie, Joseph Yitan Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev:
On Robustness in Multimodal Learning. CoRR abs/2304.04385 (2023) - [i36]Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind:
Value function estimation using conditional diffusion models for control. CoRR abs/2306.07290 (2023) - [i35]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:
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR abs/2306.16740 (2023) - [i34]Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du:
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts. CoRR abs/2309.04354 (2023) - [i33]Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander Toshev, Vaishaal Shankar:
Data Filtering Networks. CoRR abs/2309.17425 (2023) - [i32]Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev:
Large Language Models as Generalizable Policies for Embodied Tasks. CoRR abs/2310.17722 (2023) - [i31]Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev:
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. CoRR abs/2311.16201 (2023) - 2022
- [j4]Haresh Karnan
, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone:
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. IEEE Robotics Autom. Lett. 7(4): 11807-11814 (2022) - [c28]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:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRL 2022: 287-318 - [c27]Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. ICLR 2022 - [c26]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:
GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS 2022 - [i30]Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone:
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. CoRR abs/2203.15041 (2022) - [i29]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:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRR abs/2204.01691 (2022) - [i28]Sören Pirk, Tsang-Wei Edward Lee, Xuesu Xiao, Leila Takayama, Anthony G. Francis, Alexander Toshev:
A Protocol for Validating Social Navigation Policies. CoRR abs/2204.05443 (2022) - [i27]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:
GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR abs/2207.13751 (2022) - [i26]Catie Cuan, Tsang-Wei Edward Lee, Emre Fisher, Anthony G. Francis, Leila Takayama, Tingnan Zhang, Alexander Toshev, Sören Pirk:
Gesture2Path: Imitation Learning for Gesture-aware Navigation. CoRR abs/2209.09375 (2022) - [i25]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:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i24]Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens:
Perceptual Grouping in Vision-Language Models. CoRR abs/2210.09996 (2022) - 2021
- [c25]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA 2021: 4583-4590 - [i23]Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. CoRR abs/2111.03189 (2021) - 2020
- [j3]Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese:
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. IEEE Robotics Autom. Lett. 5(2): 713-720 (2020) - [c24]Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari:
Modeling Long-horizon Tasks as Sequential Interaction Landscapes. CoRL 2020: 471-484 - [c23]Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev:
Learning Object-conditioned Exploration using Distributed Soft Actor Critic. CoRL 2020: 1684-1695 - [c22]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Adversarial Generative Grammars for Human Activity Prediction. ECCV (2) 2020: 507-523 - [i22]Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari:
Modeling Long-horizon Tasks as Sequential Interaction Landscapes. CoRR abs/2006.04843 (2020) - [i21]Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, Erik Wijmans:
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects. CoRR abs/2006.13171 (2020) - [i20]Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev:
Learning Object-conditioned Exploration using Distributed Soft Actor Critic. CoRR abs/2007.14545 (2020) - [i19]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Adversarial Generative Grammars for Human Activity Prediction. CoRR abs/2008.04888 (2020) - [i18]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. CoRR abs/2008.07792 (2020)
2010 – 2019
- 2019
- [c21]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CVPR 2019: 538-547 - [c20]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Evolving Space-Time Neural Architectures for Videos. ICCV 2019: 1793-1802 - [c19]Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecká, Ayzaan Wahid, James Davidson:
Visual Representations for Semantic Target Driven Navigation. ICRA 2019: 8846-8852 - [c18]Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee:
Long Range Neural Navigation Policies for the Real World. IROS 2019: 82-89 - [i17]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CoRR abs/1903.03878 (2019) - [i16]Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee:
Long Range Neural Navigation Policies for the Real World. CoRR abs/1903.09870 (2019) - [i15]Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese:
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. CoRR abs/1910.14442 (2019) - 2018
- [c17]Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine:
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control. CVPR 2018: 4691-4699 - [i14]Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson:
Visual Representations for Semantic Target Driven Navigation. CoRR abs/1805.06066 (2018) - [i13]Etienne Pot, Alexander Toshev, Jana Kosecka:
Self-supervisory Signals for Object Discovery and Detection. CoRR abs/1806.03370 (2018) - [i12]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Evolving Space-Time Neural Architectures for Videos. CoRR abs/1811.10636 (2018) - 2017
- [j2]Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan:
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 652-663 (2017) - [c16]George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy:
Towards Accurate Multi-person Pose Estimation in the Wild. CVPR 2017: 3711-3719 - [c15]Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh:
No Fuss Distance Metric Learning Using Proxies. ICCV 2017: 360-368 - [i11]George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy:
Towards Accurate Multi-person Pose Estimation in the Wild. CoRR abs/1701.01779 (2017) - [i10]Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh:
No Fuss Distance Metric Learning using Proxies. CoRR abs/1703.07464 (2017) - [i9]Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine:
Sim2Real View Invariant Visual Servoing by Recurrent Control. CoRR abs/1712.07642 (2017) - 2016
- [c14]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CVPR 2016: 11-20 - [c13]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) 2016: 301-320 - [c12]Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly:
Chained Predictions Using Convolutional Neural Networks. ECCV (4) 2016: 728-743 - [i8]Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly:
Chained Predictions Using Convolutional Neural Networks. CoRR abs/1605.02346 (2016) - [i7]Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan:
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. CoRR abs/1609.06647 (2016) - 2015
- [c11]Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan:
Show and tell: A neural image caption generator. CVPR 2015: 3156-3164 - [i6]Greg Mori, Caroline Pantofaru, Nisarg Kothari, Thomas Leung, George Toderici, Alexander Toshev, Weilong Yang:
Pose Embeddings: A Deep Architecture for Learning to Match Human Poses. CoRR abs/1507.00302 (2015) - [i5]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CoRR abs/1511.02283 (2015) - [i4]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR abs/1511.06789 (2015) - 2014
- [c10]Alexander Toshev, Christian Szegedy:
DeepPose: Human Pose Estimation via Deep Neural Networks. CVPR 2014: 1653-1660 - [c9]Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov:
Scalable Object Detection Using Deep Neural Networks. CVPR 2014: 2155-2162 - [c8]Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe:
Deep Convolutional Ranking for Multilabel Image Annotation. ICLR (Poster) 2014 - [i3]Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan:
Show and Tell: A Neural Image Caption Generator. CoRR abs/1411.4555 (2014) - 2013
- [c7]Christian Szegedy, Alexander Toshev, Dumitru Erhan:
Deep Neural Networks for Object Detection. NIPS 2013: 2553-2561 - [i2]Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov:
Scalable Object Detection using Deep Neural Networks. CoRR abs/1312.2249 (2013) - [i1]Alexander Toshev, Christian Szegedy:
DeepPose: Human Pose Estimation via Deep Neural Networks. CoRR abs/1312.4659 (2013) - 2012
- [j1]Alexander Toshev, Ben Taskar, Kostas Daniilidis:
Shape-Based Object Detection via Boundary Structure Segmentation. Int. J. Comput. Vis. 99(2): 123-146 (2012) - 2010
- [c6]Alexander Toshev, Philippos Mordohai, Ben Taskar:
Detecting and parsing architecture at city scale from range data. CVPR 2010: 398-405 - [c5]Alexander Toshev, Ben Taskar, Kostas Daniilidis:
Object detection via boundary structure segmentation. CVPR 2010: 950-957 - [c4]Benjamin Sapp, Alexander Toshev, Ben Taskar:
Cascaded Models for Articulated Pose Estimation. ECCV (2) 2010: 406-420
2000 – 2009
- 2009
- [c3]Alexander Toshev, Ameesh Makadia, Kostas Daniilidis:
Shape-based object recognition in videos using 3D synthetic object models. CVPR 2009: 288-295 - 2007
- [c2]Alexander Toshev, Jianbo Shi, Kostas Daniilidis:
Image Matching via Saliency Region Correspondences. CVPR 2007 - 2006
- [c1]Alexander Toshev, François Brémond, Monique Thonnat:
An APRIORI-based Method for Frequent Composite Event Discovery in Videos. ICVS 2006: 10
Coauthor Index
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