activity
20182026
most citedMulti-Objective Matrix Normalization for Fine-grained Visual Recognition

100 citations · 127 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang +124

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…

cs.CV2023

Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval

Pandeng Li, Hongtao Xie, Jiannan Ge +3

Unsupervised video hashing usually optimizes binary codes by learning to reconstruct input videos. Such reconstruction constraint spends much effort on frame-level temporal context…

cs.CV20215 cited

Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning

Shaobo Min, Qi Dai, Hongtao Xie +3

Cross-modal correlation provides an inherent supervision for video unsupervised representation learning. Existing methods focus on distinguishing different video clips by visual an…

cs.CV20212 cited

Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning

Chaoqun Wang, Xuejin Chen, Shaobo Min +2

Generalized Zero-Shot Learning (GZSL) targets recognizing new categories by learning transferable image representations. Existing methods find that, by aligning image representatio…

cs.CV20201 cited

Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning

Hantao Yao, Shaobo Min, Yongdong Zhang +1

Transductive Zero-shot learning (ZSL) targets to recognize the unseen categories by aligning the visual and semantic information in a joint embedding space. There exist four kinds…

cs.CV2020100 cited

Multi-Objective Matrix Normalization for Fine-grained Visual Recognition

Shaobo Min, Hantao Yao, Hongtao Xie +2

Bilinear pooling achieves great success in fine-grained visual recognition (FGVC). Recent methods have shown that the matrix power normalization can stabilize the second-order info…