Latent Embeddings for Zero-Shot Classification. - Yongqin Xian; Zeynep Akata; Gaurav Sharma 004; Quynh Nguyen 001; Matthias Hein 001; Bernt Schiele (CVPR, 2016)

Zero-Shot Learning - The Good, the Bad and the Ugly. - Yongqin Xian; Bernt Schiele; Zeynep Akata (CVPR, 2017)

Feature Generating Networks for Zero-Shot Learning. - Yongqin Xian; Tobias Lorenz 002; Bernt Schiele; Zeynep Akata (CVPR, 2018)

Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. - Yongqin Xian; Subhabrata Choudhury; Yang He 005; Bernt Schiele; Zeynep Akata (CVPR, 2019)

F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. - Yongqin Xian; Saurabh Sharma; Bernt Schiele; Zeynep Akata (CVPR, 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)

Analyzing the Dependency of ConvNets on Spatial Information. - Yue Fan; Yongqin Xian; Max Maria Losch; Bernt Schiele (GCPR, 2020)

Generalized Many-Way Few-Shot Video Classification. - Yongqin Xian; Bruno Korbar; Matthijs Douze; Bernt Schiele; Zeynep Akata; Lorenzo Torresani (ECCV Workshops (6), 2020)

Attribute Prototype Network for Zero-Shot Learning. - Wenjia Xu; Yongqin Xian; Jiuniu Wang; Bernt Schiele; Zeynep Akata (NeurIPS, 2020)

A Few Guidelines for Incremental Few-Shot Segmentation. - Fabio Cermelli; Massimiliano Mancini; Yongqin Xian; Zeynep Akata; Barbara Caputo (CoRR, 2020)

Learning from limited labeled data - Zero-Shot and Few-Shot Learning. - Yongqin Xian (2020)

Prototype-based Incremental Few-Shot Segmentation. - Fabio Cermelli; Massimiliano Mancini; Yongqin Xian; Zeynep Akata; Barbara Caputo (BMVC, 2021)

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. - Yanbei Chen; Yongqin Xian; A. Sophia Koepke; Ying Shan; Zeynep Akata (CVPR, 2021)

Open World Compositional Zero-Shot Learning. - Massimiliano Mancini; Muhammad Ferjad Naeem; Yongqin Xian; Zeynep Akata (CVPR, 2021)

Learning Graph Embeddings for Compositional Zero-Shot Learning. - Muhammad Ferjad Naeem; Yongqin Xian; Federico Tombari; Zeynep Akata (CVPR, 2021)

A Closer Look at Self-Training for Zero-Label Semantic Segmentation. - Giuseppe Pastore; Fabio Cermelli; Yongqin Xian; Massimiliano Mancini; Zeynep Akata; Barbara Caputo (CVPR Workshops, 2021)

(SP)2Net for Generalized Zero-Label Semantic Segmentation. - Anurag Das; Yongqin Xian; Yang He 005; Bernt Schiele; Zeynep Akata (GCPR, 2021)

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)

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. - Wenjia Xu; Yongqin Xian; Jiuniu Wang; Bernt Schiele; Zeynep Akata (CVPR, 2022)

3D Compositional Zero-Shot Learning with DeCompositional Consensus. - Muhammad Ferjad Naeem; Evin Pinar Örnek; Yongqin Xian; Luc Van Gool; Federico Tombari (ECCV (28), 2022)

I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. - Muhammad Ferjad Naeem; Yongqin Xian; Luc Van Gool; Federico Tombari (NeurIPS, 2022)

Attribute Prototype Network for Any-Shot Learning. - Wenjia Xu; Yongqin Xian; Jiuniu Wang; Bernt Schiele; Zeynep Akata (Int. J. Comput. Vis., 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)

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. - Jiezhang Cao; Qin Wang 013; Yongqin Xian; Yawei Li 001; Bingbing Ni; Zhiming Pi; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Luc Van Gool (CVPR, 2023)

Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. - Anurag Das; Yongqin Xian; Dengxin Dai; Bernt Schiele (CVPR, 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 (CVPR, 2023)

Learning Prototype Classifiers for Long-Tailed Recognition. - Saurabh Sharma; Yongqin Xian; Ning Yu; Ambuj K. Singh (IJCAI, 2023)

Detecting Adversarial Faces Using Only Real Face Self-Perturbations. - Qian Wang 001; Yongqin Xian; Hefei Ling; Jinyuan Zhang; Xiaorui Lin; Ping Li 021; Jiazhong Chen; Ning Yu (IJCAI, 2023)

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. - Anurag Das; Yongqin Xian; Yang He 005; Zeynep Akata; Bernt Schiele (WACV, 2023)

LALM: Long-Term Action Anticipation with Language Models. - Sanghwan Kim; Daoji Huang; Yongqin Xian; Otmar Hilliges; Luc Van Gool; Xi Wang 021 (CoRR, 2023)

PALM: Predicting Actions through Language Models. - Sanghwan Kim; Daoji Huang; Yongqin Xian; Otmar Hilliges; Luc Van Gool; Xi Wang 021 (ECCV (82), 2024)

Text-Conditioned Resampler For Long Form Video Understanding. - Bruno Korbar; Yongqin Xian; Alessio Tonioni; Andrew Zisserman; Federico Tombari (ECCV (86), 2024)

SILC: Improving Vision Language Pretraining with Self-distillation. - Muhammad Ferjad Naeem; Yongqin Xian; Xiaohua Zhai; Lukas Hoyer; Luc Van Gool; Federico Tombari (ECCV (21), 2024)

LocCa: Visual Pretraining with Location-aware Captioners. - Bo Wan; Michael Tschannen; Yongqin Xian; Filip Pavetic; Ibrahim M. Alabdulmohsin; Xiao Wang 038; André Susano Pinto; Andreas Steiner 001; Lucas Beyer; Xiaohua Zhai (NeurIPS, 2024)

Toward a Diffusion-Based Generalist for Dense Vision Tasks. - Yue Fan; Yongqin Xian; Xiaohua Zhai; Alexander Kolesnikov 003; Muhammad Ferjad Naeem; Bernt Schiele; Federico Tombari (CoRR, 2024)

UIP2P: Unsupervised Instruction-based Image Editing via Cycle Edit Consistency. - Enis Simsar; Alessio Tonioni; Yongqin Xian; Thomas Hofmann 001; Federico Tombari (CoRR, 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., 2024)

I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification. - Muhammad Ferjad Naeem; Yongqin Xian; Luc Van Gool; Federico Tombari (Int. J. Comput. Vis., 2024)

Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos. - Chiara Plizzari; Alessio Tonioni; Yongqin Xian; Achin Kulshrestha; Federico Tombari (CVPR, 2025)

Active Data Curation Effectively Distills Large-Scale Multimodal Models. - Vishaal Udandarao; Nikhil Parthasarathy; Muhammad Ferjad Naeem; Talfan Evans; Samuel Albanie; Federico Tombari; Yongqin Xian; Alessio Tonioni; Olivier J. Hénaff (CVPR, 2025)

LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning. - Peng Wu 014; Xiankai Lu; Hao Hu; Yongqin Xian; Jianbing Shen; Wenguan Wang (CVPR, 2025)

TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. - Haiyang Wang; Yue Fan; Muhammad Ferjad Naeem; Yongqin Xian; Jan Eric Lenssen; Liwei Wang 001; Federico Tombari; Bernt Schiele (ICLR, 2025)

LIME: Localized Image Editing via Attention Regularization in Diffusion Models. - Enis Simsar; Alessio Tonioni; Yongqin Xian; Thomas Hofmann 001; Federico Tombari (WACV, 2025)