9 citations · 36 across the 6 of their papers we have counts for
6 papers
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval
Wei Chen, Yu Liu, Erwin M. Bakker +1
Accurately matching visual and textual data in cross-modal retrieval has been widely studied in the multimedia community. To address these challenges posited by the heterogeneity g…
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…
Deep Learning for Instance Retrieval: A Survey
Wei Chen, Yu Liu, Weiping Wang +5
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of con…
On the Exploration of Incremental Learning for Fine-grained Image Retrieval
Wei Chen, Yu Liu, Weiping Wang +3
In this paper, we consider the problem of fine-grained image retrieval in an incremental setting, when new categories are added over time. On the one hand, repeatedly training the…
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…
SPARK00: A Benchmark Package for the Compiler Evaluation of Irregular/Sparse Codes
H. L. A. van der Spek, E. M. Bakker, H. A. G. Wijshoff
We propose a set of benchmarks that specifically targets a major cause of performance degradation in high performance computing platforms: irregular access patterns. These benchmar…