Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data. - Mengyu Dai; Zhengwu Zhang; Anuj Srivastava (CVPR Workshops, 2016)

Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population. - Mengyu Dai; Zhengwu Zhang; Anuj Srivastava (IPMI, 2017)

Video-Based Action Recognition Using Dimension Reduction of Deep Covariance Trajectories. - Mengyu Dai; Anuj Srivastava (CVPR Workshops, 2019)

Discovering common change-point patterns in functional connectivity across subjects. - Mengyu Dai; Zhengwu Zhang; Anuj Srivastava (Medical Image Anal., 2019)

Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices. - Mengyu Dai; Zhengwu Zhang; Anuj Srivastava (IEEE Trans. Medical Imaging, 2020)

Manifold Matching via Deep Metric Learning for Generative Modeling. - Mengyu Dai; Haibin Hang (ICCV, 2021)

Adversarial Manifold Matching via Deep Metric Learning for Generative Modeling. - Mengyu Dai; Haibin Hang (CoRR, 2021)

AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks. - Mengyu Dai; Haibin Hang; Anuj Srivastava (CoRR, 2021)

Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation. - Mengyu Dai; Haibin Hang; Xiaoyang Guo (CoRR, 2021)

Adaptive Feature Interpolation for Low-Shot Image Generation. - Mengyu Dai; Haibin Hang; Xiaoyang Guo (ECCV (15), 2022)

Text-to-Video: a Two-stage Framework for Zero-shot Identity-agnostic Talking-head Generation. - Zhichao Wang; Mengyu Dai; Keld Lundgaard (CoRR, 2023)

Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods. - Mengyu Dai; Amir Hossein Raffiee; Aashish Jain; Joshua Correa (CVPR, 2024)