119 citations · 390 across the 17 of their papers we have counts for
6 papers · 1 filter
Rotation Invariant Transformer for Recognizing Object in UAVs
Shuoyi Chen, Mang Ye, Bo Du
Recognizing a target of interest from the UAVs is much more challenging than the existing object re-identification tasks across multiple city cameras. The images taken by the UAVs…
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
Wenke Huang, Mang Ye, Zekun Shi +1
Federated learning is an important privacy-preserving multi-party learning paradigm, involving collaborative learning with others and local updating on private data. Model heteroge…
An Empirical Study of CLIP for Text-based Person Search
Min Cao, Yang Bai, Ziyin Zeng +2
Text-based Person Search (TBPS) aims to retrieve the person images using natural language descriptions. Recently, Contrastive Language Image Pretraining (CLIP), a universal large c…
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye, Xiuwen Fang, Bo Du +2
Federated learning (FL) has drawn increasing attention owing to its potential use in large-scale industrial applications. Existing federated learning works mainly focus on model ho…
Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution
Wuxuan Shi, Mang Ye, Bo Du
Color-guided depth super-resolution (DSR) is an encouraging paradigm that enhances a low-resolution (LR) depth map guided by an extra high-resolution (HR) RGB image from the same s…
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
Ding Jiang, Mang Ye
Text-to-image person retrieval aims to identify the target person based on a given textual description query. The primary challenge is to learn the mapping of visual and textual mo…