Brendan Jou

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 28

Top Topics

Sentiment Analysis

Polarity Classification

Speech Emotion Recognition

Top Venues

Image Vis. Comput.

Publications

Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation. CoRR (2024)
Krishna Somandepalli, Oliver Siy, Brendan Jou
Relational Affect in Dyadic Interactions. CHI Extended Abstracts (2024)
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
LanSER: Language-Model Supported Speech Emotion Recognition. CoRR (2023)
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
LanSER: Language-Model Supported Speech Emotion Recognition. INTERSPEECH (2023)
Krishna Somandepalli, Hang Qi, Brian Eoff, Alan Cowen, Kartik Audhkhasi, Josh Belanich, Brendan Jou
Federated Learning for Affective Computing Tasks. ACII (2022)
Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. ICLR (2022)
Josh Belanich, Krishna Somandepalli, Brian Eoff, Brendan Jou
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers. CoRR (2022)
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew G. Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
BasisNet: Two-stage Model Synthesis for Efficient Inference. CoRR (2021)
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
BasisNet: Two-Stage Model Synthesis for Efficient Inference. CVPR Workshops (2021)
Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. CoRR (2021)
Asma Ghandeharioun, Brian Eoff, Brendan Jou, Rosalind W. Picard
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. CoRR (2019)
Asma Ghandeharioun, Brian Eoff, Brendan Jou, Rosalind W. Picard
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. ICCV Workshops (2019)
Víctor Campos, Brendan Jou, Xavier Giró-i-Nieto, Jordi Torres, Shih-Fu Chang
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. ICLR (Poster) (2018)
Delia Fernandez, Alejandro Woodward, Victor Campos, Xavier Giró-i-Nieto, Brendan Jou, Shih-Fu Chang
More cat than cute? Interpretable Prediction of Adjective-Noun Pairs. CoRR (2017)
Mohammad Soleymani, David García, Brendan Jou, Björn W. Schuller, Shih-Fu Chang, Maja Pantic
A survey of multimodal sentiment analysis. Image Vis. Comput. 65 (2017)
Victor Campos, Brendan Jou, Xavier Giró-i-Nieto
From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction. Image Vis. Comput. 65 (2017)
Victor Campos, Brendan Jou, Xavier Giró-i-Nieto, Jordi Torres, Shih-Fu Chang
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. CoRR (2017)
Delia Fernandez, Alejandro Woodward, Victor Campos, Xavier Giró-i-Nieto, Brendan Jou, Shih-Fu Chang
More Cat than Cute?: Interpretable Prediction of Adjective-Noun Pairs. MUSA2@MM (2017)
Nikolaos Pappas, Miriam Redi, Mercan Topkara, Hongyi Liu, Brendan Jou, Tao Chen, Shih-Fu Chang
Multilingual visual sentiment concept clustering and analysis. Int. J. Multim. Inf. Retr. 6 (1) (2017)
Brendan Jou, Shih-Fu Chang
Deep Cross Residual Learning for Multitask Visual Recognition. ACM Multimedia (2016)
Bingchen Gong, Brendan Jou, Felix X. Yu, Shih-Fu Chang
Tamp: A Library for Compact Deep Neural Networks with Structured Matrices. ACM Multimedia (2016)
Brendan Jou, Margaret Yuying Qian, Shih-Fu Chang
SentiCart: Cartography and Geo-contextualization for Multilingual Visual Sentiment. ICMR (2016)
Victor Campos, Brendan Jou, Xavier Giró-i-Nieto
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. CoRR (2016)
Brendan Jou, Shih-Fu Chang
Going Deeper for Multilingual Visual Sentiment Detection. CoRR (2016)
Hongyi Liu, Brendan Jou, Tao Chen, Mercan Topkara, Nikolaos Pappas, Miriam Redi, Shih-Fu Chang
Complura: Exploring and Leveraging a Large-scale Multilingual Visual Sentiment Ontology. ICMR (2016)
Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang
Multilingual Visual Sentiment Concept Matching. ICMR (2016)
Brendan Jou, Shih-Fu Chang
Deep Cross Residual Learning for Multitask Visual Recognition. CoRR (2016)
Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang
Multilingual Visual Sentiment Concept Matching. CoRR (2016)
Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology. CoRR (2015)
Victor Campos, Amaia Salvador, Brendan Jou, Xavier Giró-i-Nieto
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. CoRR (2015)
Victor Campos, Amaia Salvador, Xavier Giró-i-Nieto, Brendan Jou
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. ASM@ACM Multimedia (2015)
Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology. ACM Multimedia (2015)
Brendan Jou, Subhabrata Bhattacharya, Shih-Fu Chang
Predicting Viewer Perceived Emotions in Animated GIFs. ACM Multimedia (2014)
Joseph G. Ellis, Brendan Jou, Shih-Fu Chang
Why We Watch the News: A Dataset for Exploring Sentiment in Broadcast Video News. ICMI (2014)
Brendan Jou, Hongzhi Li, Joseph G. Ellis, Daniel Morozoff-Abegauz, Shih-Fu Chang
Structured exploration of who, what, when, and where in heterogeneous multimedia news sources. ACM Multimedia (2013)
Xin Guo, Dong Liu, Brendan Jou, Mojun Zhu, Anni Cai, Shih-Fu Chang
Robust Object Co-detection. CVPR (2013)
Hongzhi Li, Brendan Jou, Joseph G. Ellis, Daniel Morozoff, Shih-Fu Chang
News rover: exploring topical structures and serendipity in heterogeneous multimedia news. ACM Multimedia (2013)
Si Ying Diana Hu, Brendan Jou, Aaron Jaech, Marios Savvides
Fusion of region-based representations for gender identification. IJCB (2011)
Jameson Merkow, Brendan Jou, Marios Savvides
An exploration of gender identification using only the periocular region. BTAS (2010)