12 citations · 29 across the 10 of their papers we have counts for
10 papers
Cross-Species Animal Re-Identification with Semantic Consistency Learning
Shuoyi Chen, Yuejia Li, Mang Ye
Generalizable animal Re-Identification (ReID) aims to recognize individual animals across species with diverse morphologies and ecological contexts. Unlike person ReID, where diffe…
QASA: Quality-Guided K-Adaptive Slot Attention for Unsupervised Object-Centric Learning
Tianran Ouyang, Xingping Dong, Jing Zhang +4
Slot Attention, an approach that binds different objects in a scene to a set of "slots", has become a leading method in unsupervised object-centric learning. Most methods assume a…
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking
Yingjia Xu, Jinlin Wu, Daming Gao +5
Text-based person retrieval aims to identify a target individual from an image gallery using a natural language description. Existing methods primarily focus on appearance-driven c…
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
Xiuwen Fang, Mang Ye, Bo Du
This paper studies a challenging robust federated learning task with model heterogeneous and data corrupted clients, where the clients have different local model structures. Data c…
Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification
Chenyue Li, Shuoyi Chen, Mang Ye
Wildlife ReID involves utilizing visual technology to identify specific individuals of wild animals in different scenarios, holding significant importance for wildlife conservation…
EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
Qu Yang, Mang Ye, Bo Du
Multi-modal large language models (MLLMs) have achieved remarkable performance on objective multimodal perception tasks, but their ability to interpret subjective, emotionally nuan…
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye, Wei Shen, Bo Du +3
Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm where different parties collaboratively learn models using partitioned features of shared sa…
All in One Framework for Multimodal Re-identification in the Wild
He Li, Mang Ye, Ming Zhang +1
In Re-identification (ReID), recent advancements yield noteworthy progress in both unimodal and cross-modal retrieval tasks. However, the challenge persists in developing a unified…
Transformer for Object Re-Identification: A Survey
Mang Ye, Shuoyi Chen, Chenyue Li +3
Object Re-identification (Re-ID) aims to identify specific objects across different times and scenes, which is a widely researched task in computer vision. For a prolonged period,…
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
Wenke Huang, Mang Ye, Zekun Shi +4
Federated learning has emerged as a promising paradigm for privacy-preserving collaboration among different parties. Recently, with the popularity of federated learning, an influx…