Shiqi Yang

Ph.D Candidate

syang@cvc.uab.es

Tokyo, Japan

Barcelona, Spain



I joined Learning and Machine Perception (LAMP) team in 2019.10 as a PhD student (~ to defend in early July 2023), advised by Dr. Joost van de Weijer in Computer Vision Center, Autonomous University of Barcelona, Spain. My research during PhD focuses on how to efficiently adapt the pretrained model to real world environment (on computer vision tasks) under domain and category shift unsupervisedly, such as source-free/continual/open-set/universal domain adaptation. Currently I am interested in utilizing pre-trained multi-modal models for downstream recognition tasks.

CV (updated Apr. 2023)

research summary during PhD

Currently I am interning in OMRON SINIC X Tokyo, on open-vocabulary segmentation with StableDiffusion

News

Selected Publications [full list]

Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer

preprint, under reviewing

[project][arXiv] [code

Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer

Advances in Neural Information Processing Systems (NeurIPS) 2022 Spotlight [project][paper][arXiv] [code

Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui 

Advances in Neural Information Processing Systems (NeurIPS) 2021 [project] [paper] [arXiv] [code] [video]

Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui 

International Conference on Computer Vision (ICCV) 2021 [project] [paper] [arXiv] [code] [video]