Brendan Jou

According to our database, Brendan Jou authored at least 27 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LanSER: Language-Model Supported Speech Emotion Recognition.

Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou

CoRR, 2023

2022

Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers.

Josh Belanich, Krishna Somandepalli, Brian Eoff, Brendan Jou

CoRR, 2022

DISSECT: Disentangled Simultaneous Explanations via Concept Traversals.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Federated Learning for Affective Computing Tasks.

Krishna Somandepalli, Hang Qi, Brian Eoff, Alan Cowen, Kartik Audhkhasi, Josh Belanich, Brendan Jou

Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019

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

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

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

Víctor Campos, Brendan Jou, Xavier Giró-i-Nieto, Jordi Torres, Shih-Fu Chang

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

A survey of multimodal sentiment analysis.

Mohammad Soleymani, David García, Brendan Jou, Björn W. Schuller, Shih-Fu Chang, Maja Pantic

Image Vis. Comput., 2017

From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction.

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

Image Vis. Comput., 2017

Multilingual visual sentiment concept clustering and analysis.

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

Int. J. Multim. Inf. Retr., 2017

More Cat than Cute?: Interpretable Prediction of Adjective-Noun Pairs.

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

Proceedings of the Workshop on Multimodal Understanding of Social, 2017

2016

Large-scale Affective Computing for Visual Multimedia.

Brendan Jou

PhD thesis, 2016

Going Deeper for Multilingual Visual Sentiment Detection.

Brendan Jou, Shih-Fu Chang

CoRR, 2016

Deep Cross Residual Learning for Multitask Visual Recognition.

Brendan Jou, Shih-Fu Chang

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Tamp: A Library for Compact Deep Neural Networks with Structured Matrices.

Bingchen Gong, Brendan Jou, Felix X. Yu, Shih-Fu Chang

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Multilingual Visual Sentiment Concept Matching.

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

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Complura: Exploring and Leveraging a Large-scale Multilingual Visual Sentiment Ontology.

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

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

SentiCart: Cartography and Geo-contextualization for Multilingual Visual Sentiment.

Brendan Jou, Margaret Yuying Qian, Shih-Fu Chang

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

2015

Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology.

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

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction.

Victor Campos, Amaia Salvador, Xavier Giró-i-Nieto, Brendan Jou

Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia, 2015

2014

Predicting Viewer Perceived Emotions in Animated GIFs.

Brendan Jou, Subhabrata Bhattacharya, Shih-Fu Chang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Why We Watch the News: A Dataset for Exploring Sentiment in Broadcast Video News.

Joseph G. Ellis, Brendan Jou, Shih-Fu Chang

Proceedings of the 16th International Conference on Multimodal Interaction, 2014

2013

News rover: exploring topical structures and serendipity in heterogeneous multimedia news.

Hongzhi Li, Brendan Jou, Joseph G. Ellis, Daniel Morozoff, Shih-Fu Chang

Proceedings of the ACM Multimedia Conference, 2013

Structured exploration of who, what, when, and where in heterogeneous multimedia news sources.

Brendan Jou, Hongzhi Li, Joseph G. Ellis, Daniel Morozoff-Abegauz, Shih-Fu Chang

Proceedings of the ACM Multimedia Conference, 2013

Robust Object Co-detection.

Xin Guo, Dong Liu, Brendan Jou, Mojun Zhu, Anni Cai, Shih-Fu Chang

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Fusion of region-based representations for gender identification.

Si Ying Diana Hu, Brendan Jou, Aaron Jaech, Marios Savvides

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011

2010

An exploration of gender identification using only the periocular region.

Jameson Merkow, Brendan Jou, Marios Savvides

Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010