112 citations · 175 across the 13 of their papers we have counts for
16 papers · 1 filter
Ranking-aware Uncertainty for Text-guided Image Retrieval
Junyang Chen, Hanjiang Lai
Text-guided image retrieval is to incorporate conditional text to better capture users' intent. Traditionally, the existing methods focus on minimizing the embedding distances betw…
ViT2Hash: Unsupervised Information-Preserving Hashing
Qinkang Gong, Liangdao Wang, Hanjiang Lai +2
Unsupervised image hashing, which maps images into binary codes without supervision, is a compressor with a high compression rate. Hence, how to preserving meaningful information o…
Controllable Face Aging
Haien Zeng, Hanjiang Lai, Jian Yin
Motivated by the following two observations: 1) people are aging differently under different conditions for changeable facial attributes, e.g., skin color may become darker when wo…
Modal-aware Features for Multimodal Hashing
Haien Zeng, Hanjiang Lai, Hanlu Chu +2
Many retrieval applications can benefit from multiple modalities, e.g., text that contains images on Wikipedia, for which how to represent multimodal data is the critical component…
Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval
Haien Zeng, Hanjiang Lai, Jian Yin
Fine-grained image hashing is a challenging problem due to the difficulties of discriminative region localization and hash code generation. Most existing deep hashing approaches so…
Feature Pyramid Hashing
Yifan Yang, Libing Geng, Hanjiang Lai +2
In recent years, deep-networks-based hashing has become a leading approach for large-scale image retrieval. Most deep hashing approaches use the high layer to extract the powerful…