End-to-end Learning for 3D Facial Animation from Raw Waveforms of Speech. - Hai Xuan Pham; Yuting Wang 004; Vladimir Pavlovic 001 (CoRR, 2017)

End-to-end Learning for 3D Facial Animation from Speech. - Hai Xuan Pham; Yuting Wang 004; Vladimir Pavlovic 001 (ICMI, 2018)

Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network. - Hai Xuan Pham; Yuting Wang 004; Vladimir Pavlovic 001 (CoRR, 2018)

Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. - Minyoung Kim 001; Yuting Wang 004; Pritish Sahu; Vladimir Pavlovic 001 (ICCV, 2019)

Relevance Factor VAE: Learning and Identifying Disentangled Factors. - Minyoung Kim 001; Yuting Wang 004; Pritish Sahu; Vladimir Pavlovic 001 (CoRR, 2019)

D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. - Yuting Wang 004; Ricardo Guerrero; Vladimir Pavlovic 001 (CoRR, 2022)

Learning Continuous Facial Actions From Speech for Real-Time Animation. - Hai Xuan Pham; Yuting Wang 004; Vladimir Pavlovic 001 (IEEE Trans. Affect. Comput., 2022)

ALWOD: Active Learning for Weakly-Supervised Object Detection. - Yuting Wang 004; Velibor Ilic; Jiatong Li 001; Branislav Kisacanin; Vladimir Pavlovic 001 (ICCV, 2023)

D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. - Yuting Wang 004; Ricardo Guerrero; Vladimir Pavlovic 001 (WACV, 2023)