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2020 – today
- 2024
[j5]Muhammad Ferjad Naeem
, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification. Int. J. Comput. Vis. 132(9): 3806-3822 (2024)- [j4]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): 1545-1560 (2024) - [c26]Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang:
PALM: Predicting Actions through Language Models. ECCV (82) 2024: 140-158 - [i29]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 abs/2403.19596 (2024) - [i28]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 abs/2407.00503 (2024) - 2023
- [c25]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: 1796-1807 - [c24]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: 15169-15179 - [c23]Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele:
Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. CVPR 2023: 15434-15443 - [c22]Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh:
Learning Prototype Classifiers for Long-Tailed Recognition. IJCAI 2023: 1360-1368 - [c21]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: 1488-1496 - [c20]Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. WACV 2023: 5967-5976 - [i27]Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh:
Learning Prototype Classifiers for Long-Tailed Recognition. CoRR abs/2302.00491 (2023) - [i26]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 abs/2304.11359 (2023) - [i25]Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari:
SILC: Improving Vision Language Pretraining with Self-Distillation. CoRR abs/2310.13355 (2023) - [i24]Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang:
LALM: Long-Term Action Anticipation with Language Models. CoRR abs/2311.17944 (2023) - [i23]Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari:
LIME: Localized Image Editing via Attention Regularization in Diffusion Models. CoRR abs/2312.09256 (2023) - [i22]Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari:
Text-Conditioned Resampler For Long Form Video Understanding. CoRR abs/2312.11897 (2023) - 2022
- [j3]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Any-Shot Learning. Int. J. Comput. Vis. 130(7): 1735-1753 (2022) - [j2]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): 8949-8961 (2022) - [c19]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: 526-535 - [c18]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CVPR 2022: 9306-9315 - [c17]Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-Shot Learning with DeCompositional Consensus. ECCV (28) 2022: 713-730 - [c16]Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. NeurIPS 2022 - [i21]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CoRR abs/2203.10444 (2022) - [i20]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Any-Shot Learning. CoRR abs/2204.01208 (2022) - [i19]Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. CoRR abs/2209.10304 (2022) - [i18]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 abs/2212.02291 (2022) - [i17]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 abs/2212.04362 (2022) - [i16]Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. CoRR abs/2212.07911 (2022) - 2021
- [c15]Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo:
Prototype-based Incremental Few-Shot Segmentation. BMVC 2021: 155 - [c14]Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-Shot Learning. CVPR 2021: 953-962 - [c13]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: 2693-2702 - [c12]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Open World Compositional Zero-Shot Learning. CVPR 2021: 5222-5230 - [c11]Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata:
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CVPR 2021: 7016-7025 - [c10]Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata:
(SP)2Net for Generalized Zero-Label Semantic Segmentation. GCPR 2021: 235-249 - [i15]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Open World Compositional Zero-Shot Learning. CoRR abs/2101.12609 (2021) - [i14]Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-shot Learning. CoRR abs/2102.01987 (2021) - [i13]Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata:
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CoRR abs/2104.10955 (2021) - [i12]Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo:
A Closer Look at Self-training for Zero-Label Semantic Segmentation. CoRR abs/2104.11692 (2021) - [i11]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR abs/2105.01017 (2021) - [i10]Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-shot Learning with DeCompositional Consensus. CoRR abs/2111.14673 (2021) - 2020
- [b1]Yongqin Xian:
Learning from limited labeled data - Zero-Shot and Few-Shot Learning. Saarland University, Saarbrücken, Germany, 2020 - [c9]Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele:
Analyzing the Dependency of ConvNets on Spatial Information. GCPR 2020: 101-115 - [c8]Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) 2020: 111-127 - [c7]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Zero-Shot Learning. NeurIPS 2020 - [i9]Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele:
Analyzing the Dependency of ConvNets on Spatial Information. CoRR abs/2002.01827 (2020) - [i8]Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. CoRR abs/2007.04755 (2020) - [i7]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Zero-Shot Learning. CoRR abs/2008.08290 (2020) - [i6]Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo:
A Few Guidelines for Incremental Few-Shot Segmentation. CoRR abs/2012.01415 (2020)
2010 – 2019
- 2019
- [j1]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): 2251-2265 (2019) - [c6]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Workshops 2019: 46-49 - [c5]Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata:
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. CVPR 2019: 8256-8265 - [c4]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR 2019: 10275-10284 - [i5]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CoRR abs/1903.10132 (2019) - 2018
- [c3]Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata:
Feature Generating Networks for Zero-Shot Learning. CVPR 2018: 5542-5551 - 2017
- [c2]Yongqin Xian, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - The Good, the Bad and the Ugly. CVPR 2017: 3077-3086 - [i4]Yongqin Xian, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - The Good, the Bad and the Ugly. CoRR abs/1703.04394 (2017) - [i3]Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. CoRR abs/1707.00600 (2017) - [i2]Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata:
Feature Generating Networks for Zero-Shot Learning. CoRR abs/1712.00981 (2017) - 2016
- [c1]Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele:
Latent Embeddings for Zero-Shot Classification. CVPR 2016: 69-77 - [i1]Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele:
Latent Embeddings for Zero-shot Classification. CoRR abs/1603.08895 (2016)
Coauthor Index
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