Yongqin Xian

According to our database, Yongqin Xian authored at least 35 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning.

Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

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

CoRR, 2024

2023

Text-Conditioned Resampler For Long Form Video Understanding.

Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari

CoRR, 2023

LIME: Localized Image Editing via Attention Regularization in Diffusion Models.

Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari

CoRR, 2023

LALM: Long-Term Action Anticipation with Language Models.

Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang

CoRR, 2023

SILC: Improving Vision Language Pretraining with Self-Distillation.

Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari

CoRR, 2023

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation.

Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Detecting Adversarial Faces Using Only Real Face Self-Perturbations.

Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Prototype Classifiers for Long-Tailed Recognition.

Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning.

Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation.

Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Attribute Prototype Network for Any-Shot Learning.

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata

Int. J. Comput. Vis., 2022

I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification.

Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3D Compositional Zero-Shot Learning with DeCompositional Consensus.

Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari

Proceedings of the Computer Vision - ECCV 2022, 2022

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning.

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes.

Yongqin Xian, Julian Chibane, Bharat Lal Bhatnagar, Bernt Schiele, Zeynep Akata, Gerard Pons-Moll

Proceedings of the International Conference on 3D Vision, 2022

2021

(SP)²Net for Generalized Zero-Label Semantic Segmentation.

Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

A Closer Look at Self-Training for Zero-Label Semantic Segmentation.

Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Learning Graph Embeddings for Compositional Zero-Shot Learning.

Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Open World Compositional Zero-Shot Learning.

Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning.

Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Prototype-based Incremental Few-Shot Segmentation.

Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning from limited labeled data - Zero-Shot and Few-Shot Learning.

Yongqin Xian

PhD thesis, 2020

A Few Guidelines for Incremental Few-Shot Segmentation.

Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo

CoRR, 2020

Attribute Prototype Network for Zero-Shot Learning.

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalized Many-Way Few-Shot Video Classification.

Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Analyzing the Dependency of ConvNets on Spatial Information.

Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.

Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata

IEEE Trans. Pattern Anal. Mach. Intell., 2019

f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning.

Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Semantic Projection Network for Zero- and Few-Label Semantic Segmentation.

Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Feature Generating Networks for Zero-Shot Learning.

Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Zero-Shot Learning - The Good, the Bad and the Ugly.

Yongqin Xian, Bernt Schiele, Zeynep Akata

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Latent Embeddings for Zero-Shot Classification.

Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016