The THUMOS challenge on action recognition for videos “in the wild” von Idrees, Haroon, Zamir, Amir R., Jiang, Yu-Gang, Gorban, Alex, Laptev, Ivan, Sukthankar, Rahul, Shah, Mubarak

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Generic 3D Representation via Pose Estimation and Matching von Zamir, Amir R., Wekel, Tilman, Agrawal, Pulkit, Wei, Colin, Malik, Jitendra, Savarese, Silvio

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3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera von Armeni, Iro, He, Zhi-Yang, Gwak, JunYoung, Zamir, Amir R, Fischer, Martin, Malik, Jitendra, Savarese, Silvio

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Which Tasks Should Be Learned Together in Multi-task Learning? von Standley, Trevor, Zamir, Amir R, Chen, Dawn, Guibas, Leonidas, Malik, Jitendra, Savarese, Silvio

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Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies von Sax, Alexander, Emi, Bradley, Zamir, Amir R, Guibas, Leonidas, Savarese, Silvio, Malik, Jitendra

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Joint 2D-3D-Semantic Data for Indoor Scene Understanding von Armeni, Iro, Sax, Sasha, Zamir, Amir R, Savarese, Silvio

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Generic 3D Representation via Pose Estimation and Matching von Zamir, Amir R, Wekel, Tilman, Argrawal, Pulkit, Weil, Colin, Malik, Jitendra, Savarese, Silvio

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Structural-RNN: Deep Learning on Spatio-Temporal Graphs von Jain, Ashesh, Zamir, Amir R, Savarese, Silvio, Saxena, Ashutosh

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Feedback Networks von Zamir, Amir R, Wu, Te-Lin, Sun, Lin, Shen, William, Malik, Jitendra, Savarese, Silvio

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On Evaluation of Embodied Navigation Agents von Anderson, Peter, Chang, Angel, Chaplot, Devendra Singh, Dosovitskiy, Alexey, Gupta, Saurabh, Koltun, Vladlen, Kosecka, Jana, Malik, Jitendra, Mottaghi, Roozbeh, Savva, Manolis, Zamir, Amir R

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Which Tasks Should Be Learned Together in Multi-task Learning? von Standley, Trevor, Zamir, Amir R, Chen, Dawn, Guibas, Leonidas, Malik, Jitendra, Savarese, Silvio

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3D Semantic Parsing of Large-Scale Indoor Spaces von Armeni, Iro, Sener, Ozan, Zamir, Amir R, Jiang, Helen, Brilakis, Ioannis, Fischer, Martin, Savarese, Silvio

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3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera von Armeni, Iro, Zhi-Yang, He, Gwak, JunYoung, Zamir, Amir R, Fischer, Martin, Malik, Jitendra, Savarese, Silvio

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Systems and methods for performing three-dimensional semantic parsing of indoor spaces von Zamir, Amir R, Savarese, Silvio, Armeni, Iro, Fischer, Martin, Sener, Ozan

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The THUMOS Challenge on Action Recognition for Videos "in the Wild" von Idrees, Haroon, Zamir, Amir R, Yu-Gang, Jiang, Gorban, Alex, Laptev, Ivan, Sukthankar, Rahul, Shah, Mubarak

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Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies von Sax, Alexander, Bradley, Emi, Zamir, Amir R, Guibas, Leonidas, Savarese, Silvio, Malik, Jitendra

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Joint 2D-3D-Semantic Data for Indoor Scene Understanding von Armeni, Iro, Sax, Sasha, Zamir, Amir R, Savarese, Silvio

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Structural-RNN: Deep Learning on Spatio-Temporal Graphs von Jain, Ashesh, Zamir, Amir R, Savarese, Silvio, Saxena, Ashutosh

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SYSTEMS AND METHODS FOR PERFORMING THREE-DIMENSIONAL SEMANTIC PARSING OF INDOOR SPACES von SAVARESE, Silvio, FISCHER, Martin, SENER, Ozan, ZAMIR, Amir, R, ARMENI, Iro

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Systems and Methods for Performing Three-Dimensional Semantic Parsing of Indoor Spaces von Armeni Iro, Fischer Martin, Savarese Silvio, Sener Ozan, Zamir Amir R

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