Liang, Xiaodan

Department of Physics and Technology xiaodan.liang@uit.no

Xiaodan Liang

Adjunct Associate Professor / Machine Learning

Publications

Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael Christian Kampffmeyer, Liang Lin et al.:

Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos

IEEE International Conference on Computer Vision (ICCV) 2023 ARKIV

Xujie Zhang, Binbin Yang, Michael Christian Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu et al.:

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment

IEEE International Conference on Computer Vision (ICCV) 2023 ARKIV

Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael Kampffmeyer, Xiaoyong Wei et al.:

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining

Computer Vision and Pattern Recognition 2022 DOI

Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang :

Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning

Advances in Neural Information Processing Systems 2022 DOI

Xujie Zhang, Yu Sha, Michael Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang et al.:

ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design

SIGMM Records 2022

Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang :

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN

Advances in Neural Information Processing Systems 2021 ARKIV / DOI

Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng et al.:

M3D-VTON: A Monocular-to-3D Virtual Try-On Network

IEEE International Conference on Computer Vision (ICCV) 2021 ARKIV / DOI