Yongqin Xian

I am currently a research scientist at Google Zurich. Prior to that, I was a post-doctoral researcher with Luc Van Gool in the Computer Vision Lab at ETH Zurich. I completed my PhD summa cum laude at the Max Planck Institute Informatics under the supervision of Bernt Schiele and Zeynep Akata. My research focuses on vision-language model pretraining and its applications in vision tasks.

Email / CV / Google Scholar

Publications

	SILC: Improving Vision Language Pretraining With Self-Distillation Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari arxiv /
	Detecting Adversarial Faces Using Only Real Face Self-Perturbations Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Ping Li, Xiaorui Lin, Jiazhong Chen, Ning Yu IJCAI, 2023 arxiv /
	Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj Singh IJCAI, 2023 arxiv /
	Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele CVPR, 2023
	CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool CVPR, 2023 arxiv /
	I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari Equal contribution CVPR*, 2023 arxiv /
	I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari NeurIPS, 2022 arxiv /
	3D Compositional Zero-shot Learning with DeCompositional Consensus Muhammad Ferjad Naeem, Evin Pınar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari Equal contribution ECCV*, 2022 arxiv / code
	Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes Yongqin Xian, Julian Chibane, Bharat Lal Bhatnagar, Bernt Schiele, Zeynep Akata, Gerard Pons-Moll 3DV, 2022 (Oral, Best Paper Honourable Mention) paper / project page
	Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata TPAMI, 2022 arxiv / code
	Attribute Prototype Network for Any-Shot Learning Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata IJCV, 2022 paper
	VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata CVPR, 2022 arxiv /
	Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata TPAMI, 2021 arxiv / code
	Prototype-based Incremental Few-Shot Semantic Segmentation Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo BMVC 2021 arxiv code
	(SP)$^2$Net for Generalized Zero-Label Semantic Segmentation Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata GCPR, 2021 (Best Master's Thesis Award) arxiv /
	Distilling Audio-Visual Knowledge by Compositional Contrastive Learning Yanbei Chen, Yongqin Xian, Almut Sophia Koepke, Zeynep Akata CVPR, 2021 arxiv / code
	Learning Graph Embeddings for Compositional Zero-shot Learning Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata CVPR, 2021 arxiv / code
	Open World Compositional Zero-Shot Learning Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata CVPR, 2021 arxiv / code
	A Closer Look at Self-training for Zero-Label Semantic Segmentation Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo CVPR 2021 Workshop on Learning with Limited and Imperfect Data arxiv / code
	Attribute Prototype Network for Zero-Shot Learning Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata NeurIPS, 2020 arxiv / project page
	Analyzing the Dependency of ConvNets on Spatial Information Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele GCPR, 2020 arxiv
	Generalized Many-Way Few-Shot Video Classification Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani ECCV Workshop, 2020 arxiv / code
	f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata CVPR, 2019 arxiv / code
	Semantic Projection Network for Zero- and Few-Label Semantic Segmentation Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata CVPR, 2019 code
	Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata TPAMI, 2018 arxiv / project page
	Feature Generating Networks for Zero-Shot Learning Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata CVPR, 2018 arxiv / code
	Zero-Shot Learning - The Good, the Bad and the Ugly Yongqin Xian, Bernt Schiele, Zeynep Akata CVPR, 2017 arxiv / project page
	Latent Embeddings for Zero-shot Classification Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele CVPR, 2016 arxiv / code

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