9 citations · 19 across the 6 of their papers we have counts for
6 papers
Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model
Junhui Yin, Nan Pu, Xinyu Zhang +4
Prompt learning has become an effective and widely used technique in enhancing vision-language models (VLMs) such as CLIP for various downstream tasks, particularly in zero-shot cl…
Federated Generalized Category Discovery
Nan Pu, Zhun Zhong, Xinyuan Ji +1
Generalized category discovery (GCD) aims at grouping unlabeled samples from known and unknown classes, given labeled data of known classes. To meet the recent decentralization tre…
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
Nan Pu, Zhun Zhong, Nicu Sebe
Generalized category discovery (GCD) is a recently proposed open-world problem, which aims to automatically cluster partially labeled data. The main challenge is that the unlabeled…
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
Nan Pu, Wei Chen, Yu Liu +2
Person ReID methods always learn through a stationary domain that is fixed by the choice of a given dataset. In many contexts (e.g., lifelong learning), those methods are ineffecti…
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck +3
Computational Fluid Dynamics (CFD) simulations are a very important tool for many industrial applications, such as aerodynamic optimization of engineering designs like cars shapes,…
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification
Nan Pu, Wei Chen, Yu Liu +2
Visible-infrared person re-identification (VI-ReID) is a challenging and essential task in night-time intelligent surveillance systems. Except for the intra-modality variance that…