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

	LocCa: Visual Pretraining with Location-aware Captioners Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai NeurIPS, 2024 arxiv /
	PALM: Predicting Actions through Language Models Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang ECCV, 2024 arxiv /
	Text-Conditioned Resampler For Long Form Video Understanding Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari ECCV, 2024 arxiv /
	SILC: Improving Vision Language Pretraining With Self-Distillation Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari ECCV, 2024 arxiv /
	Toward a Diffusion-Based Generalist for Dense Vision Tasks Yue Fan, Yongqin Xian, Xiaohua Zhai, Alexander Kolesnikov, Muhammad Ferjad Naeem, Bernt Schiele, Federico Tombari CVPR Workshop on What is Next in Multimodal Foundation Models, 2024 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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