Dai, Yutong

7 publications

CVPR 2024 MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun

AISTATS 2023 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson

TMLR 2023 An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel Robinson

AAAI 2023 Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu

AAAI 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

CVPR 2022 Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation Yutong Dai, Brian Price, He Zhang, Chunhua Shen

CVPR 2021 Learning Affinity-Aware Upsampling for Deep Image Matting Yutong Dai, Hao Lu, Chunhua Shen