Jiahao Xie's Homepage

Jiahao Xie

I am currently a postdoc researcher at Max Planck Institute for Informatics (MPI-INF), working with Prof. Bernt Schiele. Previously, I obtained my Ph.D. degree from MMLab@NTU, Nanyang Technological University, supervised by Prof. Chen Change Loy and Prof. Yew Soon Ong. I also worked closely with Prof. Ziwei Liu.

My research interests include computer vision and machine learning, with a focus on foundation models and their downstream applications. Particularly, I am interested in advancing foundation models—from vision to multimodality—beyond human supervision. This includes self-supervised learning, representation learning, multimodal learning, generative models, and other topics related to foundation models.

I am a core developer and maintainer of OpenMMLab projects including MMSelfSup and MMPreTrain .

Email / Google Scholar / GitHub / Twitter

News

[05/2025] Notable reviewer for ICLR 2025.

[02/2025] One paper (VICT) accepted to CVPR 2025.

[08/2024] One paper (MosaicFusion) accepted to IJCV 2024.

[05/2023] Outstanding reviewer for CVPR 2023.

[04/2023] We released OpenMMLab pre-training toolbox and benchmark MMPreTrain.

[02/2023] One paper (CIM) accepted to CVPR 2023.

[01/2023] One paper (MFM) accepted to ICLR 2023.

[09/2022] One paper (InterCLR) accepted to IJCV 2022.

[03/2022] One paper (UniVIP) accepted to CVPR 2022.

[12/2021] We released OpenMMLab self-supervised learning toolbox and benchmark MMSelfSup.

[09/2021] One paper (ORL) accepted to NeurIPS 2021.

[05/2021] Outstanding reviewer for CVPR 2021.

[06/2020] We released self-supervised learning toolbox and benchmark codebase OpenSelfSup.

[03/2020] One paper (ODC) accepted to CVPR 2020.

[11/2019] Our MMLab-SelfSup team won the 1st places of all four tracks in Facebook AI Self-Supervision Challenge.

Publications

	Chain-of-Region Verification Reduces Hallucinations in Large Vision-Language Models Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr, Federico Tombari, Bernt Schiele Under Review, 2025
	Improved Vision-Language Alignment via Text-Conditioned Image Embeddings Sweta Mahajan, Sukrut Rao, Jiahao Xie, Alexander Koller, Bernt Schiele (=equal contribution) Under Review*, 2025
	CNS-Bench: Benchmarking Model Robustness Under Continuous Nuisance Shifts Olaf Dünkel, Jiahao Xie, Artur Jesslen, Christian Theobalt, Christian Rupprecht, Adam Kortylewski (=equal contribution) Under Review*, 2025
	Test-Time Visual In-Context Tuning Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr, Federico Tombari, Bernt Schiele CVPR, 2025 Paper / Code
	MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, Chen Change Loy IJCV, 2024 Paper / Code
	Correlational Image Modeling for Self-Supervised Visual Pre-Training Wei Li, Jiahao Xie, Chen Change Loy CVPR, 2023 Paper / Code
	Masked Frequency Modeling for Self-Supervised Visual Pre-Training Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy ICLR, 2023 Paper / Project Page / Code
	Delving into Inter-Image Invariance for Unsupervised Visual Representations Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy IJCV, 2022 Paper / Code
	UniVIP: A Unified Framework for Self-Supervised Visual Pre-training Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang CVPR, 2022 Paper
	Unsupervised Object-Level Representation Learning from Scene Images Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy NeurIPS, 2021 Paper / Project Page / Code
	Online Deep Clustering for Unsupervised Representation Learning Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy (=equal contribution) CVPR*, 2020 Paper / Code

Professional Activities

Conference Reviewer: NeurIPS 2022-25, ICLR 2024-25, ICML 2024, CVPR 2021-25, ICCV 2021-25, ECCV 2024, AAAI 2021
Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV)

Selected Awards

ICLR Notable Reviewer, 2025
CVPR Outstanding Reviewer, 2023
CVPR Outstanding Reviewer, 2021
Champions of all four tracks in Facebook AI Self-Supervision Challenge, 2019

Modified from Jon Barron