Yongqin Xian

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 58

Top Topics

Semantic Segmentation

Diffusion Models

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai
LocCa: Visual Pretraining with Location-aware Captioners. CoRR (2024)
Yue Fan, Yongqin Xian, Xiaohua Zhai, Alexander Kolesnikov, Muhammad Ferjad Naeem, Bernt Schiele, Federico Tombari
Toward a Diffusion-Based Generalist for Dense Vision Tasks. CoRR (2024)
Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu
Detecting Adversarial Faces Using Only Real Face Self-Perturbations. IJCAI (2023)
Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CVPR (2023)
Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj Singh
Learning Prototype Classifiers for Long-Tailed Recognition. CoRR (2023)
Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang
LALM: Long-Term Action Anticipation with Language Models. CoRR (2023)
Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari
LIME: Localized Image Editing via Attention Regularization in Diffusion Models. CoRR (2023)
Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu
Detecting Adversarial Faces Using Only Real Face Self-Perturbations. CoRR (2023)
Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
SILC: Improving Vision Language Pretraining with Self-Distillation. CoRR (2023)
Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. WACV (2023)
Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari
Text-Conditioned Resampler For Long Form Video Understanding. CoRR (2023)
Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele
Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. CVPR (2023)
Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj Singh
Learning Prototype Classifiers for Long-Tailed Recognition. IJCAI (2023)
Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR (2023)
Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. CoRR (2022)
Yongqin Xian, Julian Chibane, Bharat Lal Bhatnagar, Bernt Schiele, Zeynep Akata, Gerard Pons-Moll
Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes. 3DV (2022)
Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CoRR (2022)
Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. CoRR (2022)
Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR (2022)
Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CVPR (2022)
Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata
Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
Attribute Prototype Network for Any-Shot Learning. CoRR (2022)
Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. NeurIPS (2022)
Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari
3D Compositional Zero-Shot Learning with DeCompositional Consensus. ECCV (28) (2022)
Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CoRR (2022)
Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
Attribute Prototype Network for Any-Shot Learning. Int. J. Comput. Vis. 130 (7) (2022)
Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
Open World Compositional Zero-Shot Learning. CoRR (2021)
Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
Learning Graph Embeddings for Compositional Zero-shot Learning. CoRR (2021)
Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
Open World Compositional Zero-Shot Learning. CVPR (2021)
Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo
A Closer Look at Self-Training for Zero-Label Semantic Segmentation. CVPR Workshops (2021)
Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari
3D Compositional Zero-shot Learning with DeCompositional Consensus. CoRR (2021)
Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR (2021)
Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
Learning Graph Embeddings for Compositional Zero-Shot Learning. CVPR (2021)
Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo
A Closer Look at Self-training for Zero-Label Semantic Segmentation. CoRR (2021)
Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CoRR (2021)
Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo
Prototype-based Incremental Few-Shot Segmentation. BMVC (2021)
Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CVPR (2021)
Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata
Net for Generalized Zero-Label Semantic Segmentation. GCPR (2021)
Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
Generalized Many-Way Few-Shot Video Classification. CoRR (2020)
Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele
Analyzing the Dependency of ConvNets on Spatial Information. CoRR (2020)
Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) (2020)
Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
Attribute Prototype Network for Zero-Shot Learning. CoRR (2020)
Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
Attribute Prototype Network for Zero-Shot Learning. NeurIPS (2020)
Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo
A Few Guidelines for Incremental Few-Shot Segmentation. CoRR (2020)
Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele
Analyzing the Dependency of ConvNets on Spatial Information. GCPR (2020)
Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR (2019)
Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Workshops (2019)
Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. CVPR (2019)
Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CoRR (2019)
Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata
Feature Generating Networks for Zero-Shot Learning. CVPR (2018)
Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. CoRR (2017)
Yongqin Xian, Bernt Schiele, Zeynep Akata
Zero-Shot Learning - The Good, the Bad and the Ugly. CVPR (2017)
Yongqin Xian, Bernt Schiele, Zeynep Akata
Zero-Shot Learning - The Good, the Bad and the Ugly. CoRR (2017)
Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata
Feature Generating Networks for Zero-Shot Learning. CoRR (2017)
Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh N. Nguyen, Matthias Hein, Bernt Schiele
Latent Embeddings for Zero-shot Classification. CoRR (2016)
Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh N. Nguyen, Matthias Hein, Bernt Schiele
Latent Embeddings for Zero-Shot Classification. CVPR (2016)