Yongqin Xian - RankMe

76 papers A* 21A 3Journal 41Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FINER: MLLMs Hallucinate under Fine-grained Negative Queries. CoRR Rui Xiao, Sanghwan Kim, Yongqin Xian, Zeynep Akata, Stephan Alaniz
2025	A*	`conf`	Active Data Curation Effectively Distills Large-Scale Multimodal Models. CVPR Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff
2025	A	`conf`	LIME: Localized Image Editing via Attention Regularization in Diffusion Models. WACV Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari
2025	A*	`conf`	LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning. CVPR Peng Wu, Xiankai Lu, Hao Hu, Yongqin Xian, Jianbing Shen, Wenguan Wang
2025	J	`jnl`	MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning. CoRR Mattia Segù, Marta Tintore Gazulla, Yongqin Xian, Luc Van Gool, Federico Tombari
2025	A*	`conf`	Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos. CVPR Chiara Plizzari, Alessio Tonioni, Yongqin Xian, Achin Kulshrestha, Federico Tombari
2025	J	`jnl`	Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos. CoRR Chiara Plizzari, Alessio Tonioni, Yongqin Xian, Achin Kulshrestha, Federico Tombari
2025	A*	`conf`	TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. ICLR Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele
2025	J	`jnl`	Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs. CoRR Sanghwan Kim, Rui Xiao, Stephan Alaniz, Yongqin Xian, Zeynep Akata
2024	J	`jnl`	Active Data Curation Effectively Distills Large-Scale Multimodal Models. CoRR Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff
2024	J	`jnl`	I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification. Int. J. Comput. Vis. Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari
2024	J	`jnl`	Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
2024	A*	`conf`	LocCa: Visual Pretraining with Location-aware Captioners. NeurIPS Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim M. Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai
2024	J	`jnl`	LocCa: Visual Pretraining with Location-aware Captioners. CoRR Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai
2024	—	`conf`	PALM: Predicting Actions through Language Models. ECCV (82) Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang
2024	—	`conf`	SILC: Improving Vision Language Pretraining with Self-distillation. ECCV (21) Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
2024	—	`conf`	Text-Conditioned Resampler For Long Form Video Understanding. ECCV (86) Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari
2024	J	`jnl`	TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. CoRR Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele
2024	J	`jnl`	Toward a Diffusion-Based Generalist for Dense Vision Tasks. CoRR Yue Fan, Yongqin Xian, Xiaohua Zhai, Alexander Kolesnikov, Muhammad Ferjad Naeem, Bernt Schiele, Federico Tombari
2024	J	`jnl`	UIP2P: Unsupervised Instruction-based Image Editing via Cycle Edit Consistency. CoRR Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari
2023	A*	`conf`	CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
2023	A*	`conf`	Detecting Adversarial Faces Using Only Real Face Self-Perturbations. IJCAI Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu
2023	J	`jnl`	Detecting Adversarial Faces Using Only Real Face Self-Perturbations. CoRR Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu
2023	A*	`conf`	I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CVPR Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari
2023	J	`jnl`	LALM: Long-Term Action Anticipation with Language Models. CoRR Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang
2023	J	`jnl`	LIME: Localized Image Editing via Attention Regularization in Diffusion Models. CoRR Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari
2023	A*	`conf`	Learning Prototype Classifiers for Long-Tailed Recognition. IJCAI Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh
2023	J	`jnl`	Learning Prototype Classifiers for Long-Tailed Recognition. CoRR Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh
2023	J	`jnl`	SILC: Improving Vision Language Pretraining with Self-Distillation. CoRR Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
2023	J	`jnl`	Text-Conditioned Resampler For Long Form Video Understanding. CoRR Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari
2023	A	`conf`	Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. WACV Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele
2023	A*	`conf`	Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. CVPR Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele
2022	—	`conf`	3D Compositional Zero-Shot Learning with DeCompositional Consensus. ECCV (28) Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari
2022	—	`conf`	Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes. 3DV Yongqin Xian, Julian Chibane, Bharat Lal Bhatnagar, Bernt Schiele, Zeynep Akata, Gerard Pons-Moll
2022	J	`jnl`	Attribute Prototype Network for Any-Shot Learning. CoRR Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2022	J	`jnl`	Attribute Prototype Network for Any-Shot Learning. Int. J. Comput. Vis. Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2022	J	`jnl`	CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
2022	J	`jnl`	Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation. IEEE Trans. Pattern Anal. Mach. Intell. Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata
2022	A*	`conf`	I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. NeurIPS Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari
2022	J	`jnl`	I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. CoRR Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari
2022	J	`jnl`	I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CoRR Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari
2022	J	`jnl`	Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. CoRR Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele
2022	A*	`conf`	VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CVPR Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2022	J	`jnl`	VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CoRR Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2021	—	`conf`	(SP) GCPR Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata
2021	J	`jnl`	3D Compositional Zero-shot Learning with DeCompositional Consensus. CoRR Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari
2021	—	`conf`	A Closer Look at Self-Training for Zero-Label Semantic Segmentation. CVPR Workshops Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo
2021	J	`jnl`	A Closer Look at Self-training for Zero-Label Semantic Segmentation. CoRR Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo
2021	A*	`conf`	Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CVPR Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata
2021	J	`jnl`	Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CoRR Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata
2021	A*	`conf`	Learning Graph Embeddings for Compositional Zero-Shot Learning. CVPR Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
2021	J	`jnl`	Learning Graph Embeddings for Compositional Zero-shot Learning. CoRR Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
2021	J	`jnl`	Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
2021	A*	`conf`	Open World Compositional Zero-Shot Learning. CVPR Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
2021	J	`jnl`	Open World Compositional Zero-Shot Learning. CoRR Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
2021	A	`conf`	Prototype-based Incremental Few-Shot Segmentation. BMVC Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo
2020	J	`jnl`	A Few Guidelines for Incremental Few-Shot Segmentation. CoRR Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo
2020	—	`conf`	Analyzing the Dependency of ConvNets on Spatial Information. GCPR Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele
2020	J	`jnl`	Analyzing the Dependency of ConvNets on Spatial Information. CoRR Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele
2020	A*	`conf`	Attribute Prototype Network for Zero-Shot Learning. NeurIPS Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2020	J	`jnl`	Attribute Prototype Network for Zero-Shot Learning. CoRR Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2020	—	`conf`	Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
2020	J	`jnl`	Generalized Many-Way Few-Shot Video Classification. CoRR Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
2020	—	`—`	Learning from limited labeled data - Zero-Shot and Few-Shot Learning. Yongqin Xian
2019	A*	`conf`	F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
2019	A*	`conf`	Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. CVPR Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata
2019	J	`jnl`	Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE Trans. Pattern Anal. Mach. Intell. Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
2019	—	`conf`	f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Workshops Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
2019	J	`jnl`	f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CoRR Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
2018	A*	`conf`	Feature Generating Networks for Zero-Shot Learning. CVPR Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata
2017	J	`jnl`	Feature Generating Networks for Zero-Shot Learning. CoRR Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata
2017	J	`jnl`	Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. CoRR Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
2017	A*	`conf`	Zero-Shot Learning - The Good, the Bad and the Ugly. CVPR Yongqin Xian, Bernt Schiele, Zeynep Akata
2017	J	`jnl`	Zero-Shot Learning - The Good, the Bad and the Ugly. CoRR Yongqin Xian, Bernt Schiele, Zeynep Akata
2016	A*	`conf`	Latent Embeddings for Zero-Shot Classification. CVPR Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele
2016	J	`jnl`	Latent Embeddings for Zero-shot Classification. CoRR Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele