Xiaodan Liang
Adjunct Associate Professor / Machine Learning
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
Fuwei Zhao,
Zhenyu Xie,
Michael Kampffmeyer,
Haoye Dong,
Songfang Han,
Tianxiang Zheng
et al.:
M3D-VTON: A Monocular-to-3D Virtual Try-On Network
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