#Audio-Visual Generation #Multi-Modal Learning #Transfer Learning
I was a Ph.D. student in Learning and Machine Perception (LAMP) team (2019.10 ~ 2023.7), 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 zero-shot learning, source-free/continual/open-set domain adaptation.
Currently I am working on audio-visual generation, and I am also interested in multi-modal model adaptation/generalization.
CV (updated Apr. 2024)
News
[2024.4] Our workshop proposal on Audio-Visual Generation and Learning is accepted by ECCV 2024! More details will be out later.
[2023.12] My doctoral thesis received Pioneer Awards 2023 - CERCA.
[2023.9] Our paper 'Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing' is accepted by NeurIPS 2023.
[2023.8] Extended version of NRC is accepted by IEEE TPAMI.
[2023.6] 'Casting a BAIT for Offline and Online Source-free Domain Adaptation' is finally accepted, by CVIU.
[2023.4] Receive research grant (HPC support) from StabilityAI for my internship project.
[2023.1] Have a visiting talk in Prof. Maria Brbic's group in EPFL. And I start the internship in OMRON SINIC X Tokyo, working with Dr. Atsushi Hashimoto and Dr. Yoshitaka Ushiku on Open-Vocabulary Semantic Segmentation with pretrained CLIP/StableDiffusion.
[2022.11] I will present our work on model adaptation under domain and category shift on TrustML Young Scientist Seminars (hosted by RIKEN AIP) on Dec .7.
[2022.9] 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation' is accepted by NeurIPS 2022 as Spotlight, and our paper 'Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification' is accepted by BMVC 2022.
[2022.6] I will be in multiple places in Italy in July: Sicily for ICVSS summer school, Florence for a talk to MICC lab, Milan for the AI Symposium.
[2021.9] 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation' is accepted by NeurIPS 2021.
[2021.7] 'Generalized Source-free Domain Adaptation' is accepted by ICCV 2021.
[2018.10] Start research associate in Kyoto University, on image generation/translation for artwork, working with Prof. Liang Zhao and Prof. Xuefeng Liang.
Full Publications
Preprint
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models
Senmao Li, Taihang Hu, Fahad Shahbaz Khan, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang
preprint [project][arxiv][code]
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
preprint [project][arXiv][code]
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task
Shiqi Yang, Atsushi Hashimoto, Yoshitaka Ushiku
International Conference
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer
Advances in Neural Information Processing Systems (NeurIPS) 2023 [paper][arxiv][code]
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification
Kai Wang, Chenshen Wu, Andrew D. Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
British Machine Vision Conference (BMVC) 2022 [arxiv][code]
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
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]
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Advances in Neural Information Processing Systems (NeurIPS) 2021 [project][paper][arXiv][code]
Generalized Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
International Conference on Computer Vision (ICCV) 2021 [project][paper][arXiv][code][video]
Parallel Convolutional Networks for Image Recognition via a Discriminator
Shiqi Yang, Gang Peng
Asian Conference on Computer Vision (ACCV) 2018 [paper][arXiv]
Attention to Refine Through Multi Scales for Semantic Segmentation
Shiqi Yang, Gang Peng
Pacific-Rim Conference on Multimedia (PCM) 2018 [paper][arXiv]
Journal
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 [paper][arxiv]
Casting a BAIT for Offline and Online Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, Joost van de Weijer
Computer Vision and Image Understanding (CVIU), 2023 [paper][arxiv][code]
On Implicit Attribute Localization for Generalized Zero-Shot Learning
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
Invited Talks, Awards and Activities
Pioneer Awards 2023, CERCA Research Center of Catalonia, Spain, 2023.12
Visiting talk in Prof. Maria Brbic's group in EPFL, Switzerland, 2023.1
Invited talk on TrustML Young Scientist Seminars, RIKEN AIP, Japan, 2022.12
ICVSS summer school, Sicily, Italy, 2022.7
Invited talk on AI Time Seminar on NeurIPS 2021 (Virtual), China, 2022.2
Academic Service
Organizers: ECCV 2024 Audio-Visual Generation and Learning workshop
Conference Reviewer: ICLR; ICCV; NeurIPS; ECCV; ICML; CVPR; WACV
Journal Reviewer: IEEE TKDE, TPAMI, TAI, IJCV