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Institutt for fysikk og teknologi xiaodan.liang@uit.no

Xiaodan Liang


Førsteamanuensis II / Maskinlæring


  • Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael Christian Kampffmeyer, Liang Lin m.fl.:
    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 m.fl.:
    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 m.fl.:
    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 m.fl.:
    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 m.fl.:
    M3D-VTON: A Monocular-to-3D Virtual Try-On Network
    IEEE International Conference on Computer Vision (ICCV) 2021 ARKIV / DOI

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