Brendan Jou

41 papers A* 9A 1B 6Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2024 A* conf
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation.
NeurIPS
Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
2024 J jnl
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation.
CoRR
Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
2024 — conf
Relational Affect in Dyadic Interactions.
CHI Extended Abstracts
Krishna Somandepalli, Oliver Siy, Brendan Jou
2023 A conf
LanSER: Language-Model Supported Speech Emotion Recognition.
INTERSPEECH
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
2023 J jnl
LanSER: Language-Model Supported Speech Emotion Recognition.
CoRR
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
2022 A* conf
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals.
ICLR
Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard
2022 B conf
Federated Learning for Affective Computing Tasks.
ACII
Krishna Somandepalli, Hang Qi, Brian Eoff, Alan Cowen, Kartik Audhkhasi, Josh Belanich, Brendan Jou
2022 J jnl
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers.
CoRR
Josh Belanich, Krishna Somandepalli, Brian Eoff, Brendan Jou
2021 — conf
BasisNet: Two-Stage Model Synthesis for Efficient Inference.
CVPR Workshops
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
2021 J jnl
BasisNet: Two-stage Model Synthesis for Efficient Inference.
CoRR
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew G. Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
2021 J jnl
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals.
CoRR
Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard
2019 — conf
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias.
ICCV Workshops
Asma Ghandeharioun, Brian Eoff, Brendan Jou, Rosalind W. Picard
2019 J jnl
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias.
CoRR
Asma Ghandeharioun, Brian Eoff, Brendan Jou, Rosalind W. Picard
2018 — conf
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks.
ICLR (Poster)
Víctor Campos, Brendan Jou, Xavier Giró-i-Nieto, Jordi Torres, Shih-Fu Chang
2017 J jnl
A survey of multimodal sentiment analysis.
Image Vis. Comput.
Mohammad Soleymani, David García, Brendan Jou, Björn W. Schuller, Shih-Fu Chang, Maja Pantic
2017 J jnl
From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction.
Image Vis. Comput.
Victor Campos, Brendan Jou, Xavier Giró-i-Nieto
2017 — conf
More Cat than Cute?: Interpretable Prediction of Adjective-Noun Pairs.
MUSA2@MM
Delia Fernandez, Alejandro Woodward, Victor Campos, Xavier Giró-i-Nieto, Brendan Jou, Shih-Fu Chang
2017 J jnl
More cat than cute? Interpretable Prediction of Adjective-Noun Pairs.
CoRR
Delia Fernandez, Alejandro Woodward, Victor Campos, Xavier Giró-i-Nieto, Brendan Jou, Shih-Fu Chang
2017 J jnl
Multilingual visual sentiment concept clustering and analysis.
Int. J. Multim. Inf. Retr.
Nikolaos Pappas, Miriam Redi, Mercan Topkara, Hongyi Liu, Brendan Jou, Tao Chen, Shih-Fu Chang
2017 J jnl
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks.
CoRR
Victor Campos, Brendan Jou, Xavier Giró-i-Nieto, Jordi Torres, Shih-Fu Chang
2016 B conf
Complura: Exploring and Leveraging a Large-scale Multilingual Visual Sentiment Ontology.
ICMR
Hongyi Liu, Brendan Jou, Tao Chen, Mercan Topkara, Nikolaos Pappas, Miriam Redi, Shih-Fu Chang
2016 A* conf
Deep Cross Residual Learning for Multitask Visual Recognition.
ACM Multimedia
Brendan Jou, Shih-Fu Chang
2016 J jnl
Deep Cross Residual Learning for Multitask Visual Recognition.
CoRR
Brendan Jou, Shih-Fu Chang
2016 J jnl
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction.
CoRR
Victor Campos, Brendan Jou, Xavier Giró-i-Nieto
2016 J jnl
Going Deeper for Multilingual Visual Sentiment Detection.
CoRR
Brendan Jou, Shih-Fu Chang
2016 — —
Large-scale Affective Computing for Visual Multimedia.
Brendan Jou
2016 B conf
Multilingual Visual Sentiment Concept Matching.
ICMR
Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang
2016 J jnl
Multilingual Visual Sentiment Concept Matching.
CoRR
Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang
2016 B conf
SentiCart: Cartography and Geo-contextualization for Multilingual Visual Sentiment.
ICMR
Brendan Jou, Margaret Yuying Qian, Shih-Fu Chang
2016 A* conf
Tamp: A Library for Compact Deep Neural Networks with Structured Matrices.
ACM Multimedia
Bingchen Gong, Brendan Jou, Felix X. Yu, Shih-Fu Chang
2015 — conf
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction.
ASM@ACM Multimedia
Victor Campos, Amaia Salvador, Xavier Giró-i-Nieto, Brendan Jou
2015 J jnl
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction.
CoRR
Victor Campos, Amaia Salvador, Brendan Jou, Xavier Giró-i-Nieto
2015 A* conf
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology.
ACM Multimedia
Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang
2015 J jnl
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology.
CoRR
Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang
2014 A* conf
Predicting Viewer Perceived Emotions in Animated GIFs.
ACM Multimedia
Brendan Jou, Subhabrata Bhattacharya, Shih-Fu Chang
2014 B conf
Why We Watch the News: A Dataset for Exploring Sentiment in Broadcast Video News.
ICMI
Joseph G. Ellis, Brendan Jou, Shih-Fu Chang
2013 A* conf
News rover: exploring topical structures and serendipity in heterogeneous multimedia news.
ACM Multimedia
Hongzhi Li, Brendan Jou, Joseph G. Ellis, Daniel Morozoff, Shih-Fu Chang
2013 A* conf
Robust Object Co-detection.
CVPR
Xin Guo, Dong Liu, Brendan Jou, Mojun Zhu, Anni Cai, Shih-Fu Chang
2013 A* conf
Structured exploration of who, what, when, and where in heterogeneous multimedia news sources.
ACM Multimedia
Brendan Jou, Hongzhi Li, Joseph G. Ellis, Daniel Morozoff-Abegauz, Shih-Fu Chang
2011 B conf
Fusion of region-based representations for gender identification.
IJCB
Si Ying Diana Hu, Brendan Jou, Aaron Jaech, Marios Savvides
2010 — conf
An exploration of gender identification using only the periocular region.
BTAS
Jameson Merkow, Brendan Jou, Marios Savvides