Yongqin Xian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
7
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos. | Chiara Plizzari, Alessio Tonioni, Yongqin Xian, Achin Kulshrestha, Federico Tombari |
| 2025 | CVPR | 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. Hnaff |
| 2025 | CVPR | LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning. | Peng Wu, Xiankai Lu, Hao Hu, Yongqin Xian, Jianbing Shen, Wenguan Wang |
| 2025 | ICCV | MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning. | Mattia Seg, Marta Tintore Gazulla, Yongqin Xian, Luc Van Gool, Federico Tombari |
| 2025 | ICCV | UIP2P: Unsupervised Instruction-Based Image Editing via Edit Reversibility Constraint. | Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari |
| 2025 | ICLR | TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. | Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele |
| 2025 | WACV | LIME: Localized Image Editing via Attention Regularization in Diffusion Models. | Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari |
| 2024 | ECCV | PALM: Predicting Actions through Language Models. | Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang |
| 2024 | ECCV | Text-Conditioned Resampler For Long Form Video Understanding. | Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari |
| 2024 | ECCV | SILC: Improving Vision Language Pretraining with Self-distillation. | Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. | Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele |
| 2023 | CVPR | 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 |
| 2023 | IJCAI | Learning Prototype Classifiers for Long-Tailed Recognition. | Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh |
| 2023 | IJCAI | 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 |
| 2023 | WACV | Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. | Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele |
| 2022 | CVPR | VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. | Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata |
| 2022 | ECCV | 3D Compositional Zero-Shot Learning with DeCompositional Consensus. | Muhammad Ferjad Naeem, Evin Pinar rnek, Yongqin Xian, Luc Van Gool, Federico Tombari |
| 2021 | BMVC | Prototype-based Incremental Few-Shot Segmentation. | Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo |
| 2021 | CVPR | Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. | Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata |
| 2021 | CVPR | Open World Compositional Zero-Shot Learning. | Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata |
| 2021 | CVPR | Learning Graph Embeddings for Compositional Zero-Shot Learning. | Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata |
| 2021 | CVPR | A Closer Look at Self-Training for Zero-Label Semantic Segmentation. | Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo |
| 2020 | ECCV | Generalized Many-Way Few-Shot Video Classification. | Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani |
| 2019 | CVPR | Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. | Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata |
| 2019 | CVPR | F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. | Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata |
| 2019 | CVPR | f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. | Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata |
| 2018 | CVPR | Feature Generating Networks for Zero-Shot Learning. | Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata |
| 2017 | CVPR | Zero-Shot Learning - The Good, the Bad and the Ugly. | Yongqin Xian, Bernt Schiele, Zeynep Akata |
| 2016 | CVPR | Latent Embeddings for Zero-Shot Classification. | Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele |