no code implementations • 15 Jan 2024 • Jie Zhang, Zhifan Wan, Lanqing Hu, Stephen Lin, Shuzhe Wu, Shiguang Shan
Considering the close connection between action recognition and human pose estimation, we design a Collaboratively Self-supervised Video Representation (CSVR) learning framework specific to action recognition by jointly considering generative pose prediction and discriminative context matching as pretext tasks.
no code implementations • ICCV 2023 • Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen
Domain generalization (DG) attempts to learn a model on source domains that can well generalize to unseen but different domains.
no code implementations • CVPR 2020 • Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen
Domain adaptation attempts to boost the performance on a target domain by borrowing knowledge from a well established source domain.
no code implementations • CVPR 2018 • Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen
Following the similar idea of GAN, this work proposes a novel GAN architecture with duplex adversarial discriminators (referred to as DupGAN), which can achieve domain-invariant representation and domain transformation.