Combination of Pyramid CNN Representation and Spatial-Temporal Representation for Facial Expression Recognition. - Shulin Xu; Nan Pu; Li Qian 001; Guoqiang Xiao 001 (CCCV (2), 2017)

Human Action Recognition in Videos of Realistic Scenes Based on Multi-scale CNN Feature. - Yongsheng Zhou; Nan Pu; Li Qian 001; Song Wu 003; Guoqiang Xiao 001 (PCM (2), 2017)

Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval. - Wei Chen 072; Nan Pu; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (ICME, 2019)

Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification. - Nan Pu; T. K. Georgiou 001; Erwin M. Bakker; Michael S. Lew (IJCNN, 2019)

Comparison of deep learning and hand crafted features for mining simulation data. - Theodoros Georgiou 001; Sebastian Schmitt; Thomas Bäck; Nan Pu; Wei Chen 072; Michael S. Lew (ICPR, 2020)

Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. - Nan Pu; Wei Chen 072; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (ACM Multimedia, 2020)

Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. - Nan Pu; Wei Chen 072; Yu Liu 012; Erwin M. Bakker; Michael S. Lew (CVPR, 2021)

From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. - Mingrui Lao; Yanming Guo; Yu Liu 012; Wei Chen 072; Nan Pu; Michael S. Lew (ACM Multimedia, 2021)

PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data. - Theodoros Georgiou 001; Sebastian Schmitt; Thomas Bäck; Nan Pu; Wei Chen 072; Michael S. Lew (CoRR, 2021)

Multi-stage hybrid embedding fusion network for visual question answering. - Mingrui Lao; Yanming Guo; Nan Pu; Wei Chen 072; Yu Liu 012; Michael S. Lew (Neurocomputing, 2021)

VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining. - Mingrui Lao; Yanming Guo; Wei Chen 072; Nan Pu; Michael S. Lew (ICASSP, 2022)

Meta Reconciliation Normalization for Lifelong Person Re-Identification. - Nan Pu; Yu Liu 012; Wei Chen 072; Erwin M. Bakker; Michael S. Lew (ACM Multimedia, 2022)

Feature Estimations Based Correlation Distillation for Incremental Image Retrieval. - Wei Chen 072; Yu Liu 012; Nan Pu; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2022)

COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. - Mingrui Lao; Nan Pu; Yu Liu 012; Kai He; Erwin M. Bakker; Michael S. Lew (AAAI, 2023)

Dynamic Conceptional Contrastive Learning for Generalized Category Discovery. - Nan Pu; Zhun Zhong; Nicu Sebe (CVPR, 2023)

Image Stitching Based on Multi-Scale Meshes. - Yixuan Li; Haotian Zhao; Qi Jia 001; Nan Pu (ICIP, 2023)

Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation. - Mingrui Lao; Nan Pu; Yu Liu 012; Zhun Zhong; Erwin M. Bakker; Nicu Sebe; Michael S. Lew (ACM Multimedia, 2023)

FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes. - Mingrui Lao; Nan Pu; Zhun Zhong; Nicu Sebe; Michael S. Lew (ACM Multimedia, 2023)

Broaden Your Positives: A General Rectification Approach for Novel Class Discovery. - Yaqi Cai; Nan Pu; Qi Jia 001; Weimin Wang 007; Yu Liu 012 (PRCV (4), 2023)

Federated Generalized Category Discovery. - Nan Pu; Zhun Zhong; Xinyuan Ji; Nicu Sebe (CoRR, 2023)

Lifelong Fine-Grained Image Retrieval. - Wei Chen 072; Haoyang Xu; Nan Pu; Yu Liu 012; Mingrui Lao; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2023)

Dual selective knowledge transfer for few-shot classification. - Kai He; Nan Pu; Mingrui Lao; Erwin M. Bakker; Michael S. Lew (Appl. Intell., 2023)

A Memorizing and Generalizing Framework for Lifelong Person Re-Identification. - Nan Pu; Zhun Zhong; Nicu Sebe; Michael S. Lew (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Few-shot and meta-learning methods for image understanding: a survey. - Kai He; Nan Pu; Mingrui Lao; Michael S. Lew (Int. J. Multim. Inf. Retr., 2023)

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization. - Yu Liu 012; Yaqi Cai; Qi Jia 001; Binglin Qiu; Weimin Wang 007; Nan Pu (CVPR, 2024)

Federated Generalized Category Discovery. - Nan Pu; Wenjing Li 005; Xingyuan Ji; Yalan Qin; Nicu Sebe; Zhun Zhong (CVPR, 2024)

Learning to Distinguish Samples for Generalized Category Discovery. - Fengxiang Yang; Nan Pu; Wenjing Li 005; Zhiming Luo; Shaozi Li; Nicu Sebe; Zhun Zhong (ECCV (65), 2024)

Textual Knowledge Matters: Cross-Modality Co-teaching for Generalized Visual Class Discovery. - Haiyang Zheng; Nan Pu; Wenjing Li 005; Nicu Sebe; Zhun Zhong (ECCV (52), 2024)

Fire and Smoke Detection with Burning Intensity Representation. - Xiaoyi Han; Yanfei Wu; Nan Pu; Zunlei Feng; Qifei Zhang 001; Yijun Bei; Lechao Cheng (MMAsia, 2024)

Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery. - Haiyang Zheng; Nan Pu; Wenjing Li 005; Nicu Sebe; Zhun Zhong (NeurIPS, 2024)

Benchmarking Multi-Scene Fire and Smoke Detection. - Xiaoyi Han; Nan Pu; Zunlei Feng; Yijun Bei; Qifei Zhang 001; Lechao Cheng; Liang Xue (PRCV (11), 2024)

PMGNet: Disentanglement and entanglement benefit mutually for compositional zero-shot learning. - Yu Liu 012; Jianghao Li; Yanyi Zhang; Qi Jia 001; Weimin Wang 007; Nan Pu; Nicu Sebe (Comput. Vis. Image Underst., 2024)

EDMC: Efficient Multi-View Clustering via Cluster and Instance Space Learning. - Yalan Qin; Nan Pu; Hanzhou Wu (IEEE Trans. Multim., 2024)

Elastic Multi-View Subspace Clustering With Pairwise and High-Order Correlations. - Yalan Qin; Nan Pu; Hanzhou Wu (IEEE Trans. Knowl. Data Eng., 2024)

Bilevel progressive homography estimation via correlative region-focused transformer. - Qi Jia 001; Xiaomei Feng; Wei Zhang; Yu Liu 012; Nan Pu; Nicu Sebe (Comput. Vis. Image Underst., 2025)

Few-shot event-based action recognition. - Zanxi Ruan; Nan Pu; Jiangming Chen; Songqun Gao; Yanming Guo; Qiuyu Kong; Yuxiang Xie; Yingmei Wei (Neural Networks, 2025)

Latent Space Learning-Based Ensemble Clustering. - Yalan Qin; Nan Pu; Nicu Sebe; Guorui Feng (IEEE Trans. Image Process., 2025)

Federated Generalized Novel Category Discovery with Prompts Tuning. - Lei Shen; Nan Pu; Zhun Zhong; Mingming Gong; Dianhai Yu; Chengqi Zhang; Bo Han 003 (Trans. Mach. Learn. Res., 2025)

Discriminative Anchor Learning for Efficient Multi-View Clustering. - Yalan Qin; Nan Pu; Hanzhou Wu; Nicu Sebe (IEEE Trans. Multim., 2025)

Margin-aware Noise-robust Contrastive Learning for Partially View-aligned Problem. - Yalan Qin; Nan Pu; Hanzhou Wu; Nicu Sebe (ACM Trans. Knowl. Discov. Data, 2025)

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery. - Xiao Liu; Nan Pu; Haiyang Zheng; Wenjing Li 005; Nicu Sebe; Zhun Zhong (CoRR, 2025)