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DISSECT: Disentangled Simultaneous Explanations via Concept Traversals



Asma Ghandeharioun , Been Kim , Chun-Liang Li , Brendan Jou , Brian Eoff , Rosalind W. Picard


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BasisNet: Two-stage Model Synthesis for Efficient Inference



Mingda Zhang , Chun-Te Chu , Andrey Zhmoginov , Andrew Howard , Brendan Jou , Yukun Zhu , Li Zhang , Rebecca Hwa , Adriana Kovashka

* To appear, 4th Workshop on Efficient Deep Learning for Computer Vision (ECV2021), CVPR2021 Workshop 

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Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias



Asma Ghandeharioun , Brian Eoff , Brendan Jou , Rosalind W. Picard

* Accepted for presentation at 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models 

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Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks



Victor Campos , Brendan Jou , Xavier Giro-i-Nieto , Jordi Torres , Shih-Fu Chang

* Accepted as conference paper at ICLR 2018 

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More cat than cute? Interpretable Prediction of Adjective-Noun Pairs



Delia Fernandez , Alejandro Woodward , Victor Campos , Xavier Giro-i-Nieto , Brendan Jou , Shih-Fu Chang

* Oral paper at ACM Multimedia 2017 Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes (MUSA2) 

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From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction



Victor Campos , Brendan Jou , Xavier Giro-i-Nieto

* Accepted for publication in Image and Vision Computing. Models and source code available at https://github.com/imatge-upc/sentiment-2016 

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Deep Cross Residual Learning for Multitask Visual Recognition



Brendan Jou , Shih-Fu Chang

* 10 pages, 6 figures, To appear in ACM Multimedia 

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Multilingual Visual Sentiment Concept Matching



Nikolaos Pappas , Miriam Redi , Mercan Topkara , Brendan Jou , Hongyi Liu , Tao Chen , Shih-Fu Chang

* Proceedings ICMR '16 Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval Pages 151-158 

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Going Deeper for Multilingual Visual Sentiment Detection



Brendan Jou , Shih-Fu Chang

* technical report, 7 pages 

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