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ORCIDYuting Wang 0004
Person information
- affiliation: Rutgers University, Department of Computer Science, Piscataway, NJ, USA
- affiliation: Samsung AI Center, Cambridge, UK
Other persons with the same name
- Yuting Wang (aka: YuTing Wang, Yu-Ting Wang) — disambiguation page
- Yuting Wang 0001
![[0000-0003-3990-2418]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3990-2418")
— Shanghai Jiao Tong University, John Hopcroft Center for Computer Science, Shanghai, China (and 2 more) - Yu-Ting Wang 0002 (aka: Yuting Wang 0002) — National Cheng Kung University, Department of Computer Science and Information Engineering, Tainan, Taiwan
- Yuting Wang 0003 (aka: Yu-Ting Wang 0003) — Liaocheng University, College of Computer Science, China
- Yu-Ting Wang 0005 (aka: Yuting Wang 0005) — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
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Journal Articles
- 2022
[j1]Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic:
Learning Continuous Facial Actions From Speech for Real-Time Animation. IEEE Trans. Affect. Comput. 13(3): 1567-1580 (2022)
Conference and Workshop Papers
- 2023
- [c4]Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisacanin, Vladimir Pavlovic:
ALWOD: Active Learning for Weakly-Supervised Object Detection. ICCV 2023: 6436-6446 - [c3]Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic:
D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. WACV 2023: 22-31 - 2019
- [c2]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. ICCV 2019: 2979-2987 - 2018
- [c1]Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic:
End-to-end Learning for 3D Facial Animation from Speech. ICMI 2018: 361-365
Informal and Other Publications
- 2023
- [i6]Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisacanin, Vladimir Pavlovic:
ALWOD: Active Learning for Weakly-Supervised Object Detection. CoRR abs/2309.07914 (2023) - 2022
- [i5]Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic:
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. CoRR abs/2212.01376 (2022) - 2019
- [i4]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Relevance Factor VAE: Learning and Identifying Disentangled Factors. CoRR abs/1902.01568 (2019) - [i3]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. CoRR abs/1909.02820 (2019) - 2018
- [i2]Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic:
Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network. CoRR abs/1803.07716 (2018) - 2017
- [i1]Hai Xuan Pham, Yuting Wang, Vladimir Pavlovic:
End-to-end Learning for 3D Facial Animation from Raw Waveforms of Speech. CoRR abs/1710.00920 (2017)
Coauthor Index
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