3 citations · 4 across the 8 of their papers we have counts for
8 papers
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
Jiawei Yao, Qi Qian, Juhua Hu
Multiple clustering aims to discover various latent structures of data from different aspects. Deep multiple clustering methods have achieved remarkable performance by exploiting c…
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
Qi Qian, Yuanhong Xu, Juhua Hu
Deep features extracted from certain layers of a pre-trained deep model show superior performance over the conventional hand-crafted features. Compared with fine-tuning or linear p…
Online Zero-Shot Classification with CLIP
Qi Qian, Juhua Hu
Vision-language pre-training such as CLIP enables zero-shot transfer that can classify images according to the candidate class names. While CLIP demonstrates an impressive zero-sho…
Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering
Jiawei Yao, Qi Qian, Juhua Hu
Multiple clustering has gained significant attention in recent years due to its potential to reveal multiple hidden structures of data from different perspectives. The advent of de…
Dual-disentangled Deep Multiple Clustering
Jiawei Yao, Juhua Hu
Multiple clustering has gathered significant attention in recent years due to its potential to reveal multiple hidden structures of the data from different perspectives. Most of mu…
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP
Qi Qian, Yuanhong Xu, Juhua Hu
Vision-language pre-training methods, e.g., CLIP, demonstrate an impressive zero-shot performance on visual categorizations with the class proxy from the text embedding of the clas…