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20212023
most citedDecentralised Person Re-Identification with Selective Knowledge Aggregation

4 citations · 5 across the 5 of their papers we have counts for

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5 papers

cs.CV2023★ 1 cited

Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking

Shitong Sun, Fanghua Ye, Shaogang Gong

Composed image retrieval attempts to retrieve an image of interest from gallery images through a composed query of a reference image and its corresponding modified text. It has rec…

cs.CV2023

Benchmarking Robustness of Text-Image Composed Retrieval

Shitong Sun, Jindong Gu, Shaogang Gong

Text-image composed retrieval aims to retrieve the target image through the composed query, which is specified in the form of an image plus some text that describes desired modific…

cs.CV2023

FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation

Jingwen Guo, Hong Liu, Shitong Sun +3

Existing skeleton-based action recognition methods typically follow a centralized learning paradigm, which can pose privacy concerns when exposing human-related videos. Federated L…

cs.CV2022

Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces

Shitong Sun, Chenyang Si, Guile Wu +1

Conventional centralised deep learning paradigms are not feasible when data from different sources cannot be shared due to data privacy or transmission limitation. To resolve this…

cs.CV2021★ 4 cited

Decentralised Person Re-Identification with Selective Knowledge Aggregation

Shitong Sun, Guile Wu, Shaogang Gong

Existing person re-identification (Re-ID) methods mostly follow a centralised learning paradigm which shares all training data to a collection for model learning. This paradigm is…