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2020 – today
- 2024
[c22]Krishna Somandepalli
, Oliver Siy, Brendan Jou:
Relational Affect in Dyadic Interactions. CHI Extended Abstracts 2024: 526:1-526:9- [i14]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 abs/2405.13762 (2024) - 2023
- [c21]Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou:
LanSER: Language-Model Supported Speech Emotion Recognition. INTERSPEECH 2023: 2408-2412 - [i13]Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou:
LanSER: Language-Model Supported Speech Emotion Recognition. CoRR abs/2309.03978 (2023) - 2022
- [c20]Krishna Somandepalli, Hang Qi, Brian Eoff, Alan Cowen, Kartik Audhkhasi, Josh Belanich, Brendan Jou:
Federated Learning for Affective Computing Tasks. ACII 2022: 1-8 - [c19]Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard:
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. ICLR 2022 - [i12]Josh Belanich, Krishna Somandepalli, Brian Eoff, Brendan Jou:
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers. CoRR abs/2206.12494 (2022) - 2021
- [c18]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: 3081-3090 - [i11]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 abs/2105.03014 (2021) - [i10]Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard:
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. CoRR abs/2105.15164 (2021)
2010 – 2019
- 2019
- [c17]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: 4202-4206 - [i9]Asma Ghandeharioun, Brian Eoff, Brendan Jou, Rosalind W. Picard:
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. CoRR abs/1909.09285 (2019) - 2018
- [c16]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 - 2017
- [j3]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): 51-70 (2017) - [j2]Mohammad Soleymani, David García, Brendan Jou, Björn W. Schuller, Shih-Fu Chang, Maja Pantic:
A survey of multimodal sentiment analysis. Image Vis. Comput. 65: 3-14 (2017) - [j1]Victor Campos, Brendan Jou, Xavier Giró-i-Nieto:
From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction. Image Vis. Comput. 65: 15-22 (2017) - [c15]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: 61-69 - [i8]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 abs/1708.06039 (2017) - [i7]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 abs/1708.06834 (2017) - 2016
- [b1]Brendan Jou:
Large-scale Affective Computing for Visual Multimedia. Columbia University, USA, 2016 - [c14]Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang:
Multilingual Visual Sentiment Concept Matching. ICMR 2016: 151-158 - [c13]Brendan Jou, Margaret Yuying Qian, Shih-Fu Chang:
SentiCart: Cartography and Geo-contextualization for Multilingual Visual Sentiment. ICMR 2016: 389-392 - [c12]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: 417-420 - [c11]Brendan Jou, Shih-Fu Chang:
Deep Cross Residual Learning for Multitask Visual Recognition. ACM Multimedia 2016: 998-1007 - [c10]Bingchen Gong, Brendan Jou, Felix X. Yu, Shih-Fu Chang:
Tamp: A Library for Compact Deep Neural Networks with Structured Matrices. ACM Multimedia 2016: 1206-1209 - [i6]Brendan Jou, Shih-Fu Chang:
Deep Cross Residual Learning for Multitask Visual Recognition. CoRR abs/1604.01335 (2016) - [i5]Victor Campos, Brendan Jou, Xavier Giró-i-Nieto:
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. CoRR abs/1604.03489 (2016) - [i4]Brendan Jou, Shih-Fu Chang:
Going Deeper for Multilingual Visual Sentiment Detection. CoRR abs/1605.09211 (2016) - [i3]Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang:
Multilingual Visual Sentiment Concept Matching. CoRR abs/1606.02276 (2016) - 2015
- [c9]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: 57-62 - [c8]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: 159-168 - [i2]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 abs/1508.03868 (2015) - [i1]Victor Campos, Amaia Salvador, Brendan Jou, Xavier Giró-i-Nieto:
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. CoRR abs/1508.05056 (2015) - 2014
- [c7]Joseph G. Ellis, Brendan Jou, Shih-Fu Chang:
Why We Watch the News: A Dataset for Exploring Sentiment in Broadcast Video News. ICMI 2014: 104-111 - [c6]Brendan Jou, Subhabrata Bhattacharya, Shih-Fu Chang:
Predicting Viewer Perceived Emotions in Animated GIFs. ACM Multimedia 2014: 213-216 - 2013
- [c5]Xin Guo, Dong Liu, Brendan Jou, Mojun Zhu, Anni Cai, Shih-Fu Chang:
Robust Object Co-detection. CVPR 2013: 3206-3213 - [c4]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: 357-360 - [c3]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: 449-450 - 2011
- [c2]Si Ying Diana Hu, Brendan Jou, Aaron Jaech, Marios Savvides:
Fusion of region-based representations for gender identification. IJCB 2011: 1-7 - 2010
- [c1]Jameson Merkow, Brendan Jou, Marios Savvides:
An exploration of gender identification using only the periocular region. BTAS 2010: 1-5
Coauthor Index
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last updated on 2024-09-05 02:11 CEST by the dblp team
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