15 citations · 24 across the 7 of their papers we have counts for
7 papers
Improving Entropy-Based Test-Time Adaptation from a Clustering View
Guoliang Lin, Hanjiang Lai, Yan Pan +1
Domain shift is a common problem in the realistic world, where training data and test data follow different data distributions. To deal with this problem, fully test-time adaptatio…
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base
Wangzhen Guo, Linyin Luo, Hanjiang Lai +1
Parsing questions into executable logical forms has showed impressive results for knowledge-base question answering (KBQA). However, complex KBQA is a more challenging task that re…
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…
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks
Siyu Zhou, Weiqiang Zhao, Jiashi Feng +4
Face age progression, which aims to predict the future looks, is important for various applications and has been received considerable attentions. Existing methods and datasets are…