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Sergio Guadarrama

European Centre for Soft Computing

Compressive Visual Representations

Sep 29, 2021
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John Canny, Ian Fischer

* 27 pages, 4 figures, to appear at NeurIPS 2021 

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Predictive Information Accelerates Learning in RL

Jul 24, 2020
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John Canny, Sergio Guadarrama

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Measuring the Reliability of Reinforcement Learning Algorithms

Dec 10, 2019
Stephanie C. Y. Chan, Sam Fishman, John Canny, Anoop Korattikara, Sergio Guadarrama

* Accepted at the Workshop on Deep Reinforcement Learning at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following

Feb 20, 2019
Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama

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Tracking Emerges by Colorizing Videos

Jul 27, 2018
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy

* ECCV 2018. Blog post: 

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Improved Image Captioning via Policy Gradient optimization of SPIDEr

Mar 12, 2018
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy

* Accepted at ICCV 2017 

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The Devil is in the Decoder

Aug 12, 2017
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper Uijlings

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PixColor: Pixel Recursive Colorization

Jun 05, 2017
Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy

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Speed/accuracy trade-offs for modern convolutional object detectors

Apr 25, 2017
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

* Accepted to CVPR 2017 

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Semantic Instance Segmentation via Deep Metric Learning

Mar 30, 2017
Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy

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Long-term Recurrent Convolutional Networks for Visual Recognition and Description

May 31, 2016
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell

* Originally presented at CVPR 2015 (oral). Updated version (accepted as a TPAMI journal article) includes additional results 

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Compute Less to Get More: Using ORC to Improve Sparse Filtering

May 24, 2015
Johannes Lederer, Sergio Guadarrama

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LSDA: Large Scale Detection Through Adaptation

Nov 01, 2014
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko

* Neural Information Processing Systems (NIPS) 2014 

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Caffe: Convolutional Architecture for Fast Feature Embedding

Jun 20, 2014
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

* Tech report for the Caffe software at 

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Approximate Robotic Mapping from sonar data by modeling Perceptions with Antonyms

Jun 30, 2010
Sergio Guadarrama, Antonio Ruiz-Mayor

* To appear in Information Sciences 

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Using Soft Constraints To Learn Semantic Models Of Descriptions Of Shapes

May 28, 2010
Sergio Guadarrama, David P. Pancho

* 8 pages, 8 figures, WCCI'10 Conference 

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