works on

From the 1 of 5 linked papers with an AI index.

most citedCausal Clothes-Invariant Feature Learning for Cloth-Changing Person Re-ID

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ANFI: Rethinking Neighbor Feature Interaction in Person Re-ID

Xulin Li, Yan Lu, Bin Liu +5

The paper proposes ANFI, an adaptive neighbor feature interaction method for person re-identification that jointly models affinity and discrepancy relations to mitigate the impact…

cs.CV2026

MFEN:Multi-Frequency Expert Network for Visible-Infrared Person Re-ID

Xulin Li, Yan Lu, Bin Liu +4

Visible-infrared person re-identification (VI-ReID) is challenging due to the large modality discrepancy between visible and infrared images. We contend that this discrepancy is la…

cs.CV20265 cited

Causal Clothes-Invariant Feature Learning for Cloth-Changing Person Re-ID

Xulin Li, Yan Lu, Bin Liu +6

In cloth-changing person re-identification (CCReID), it is critical to learn clothes-invariant feature, which can provide discriminative ID features that remain robust against clot…

cs.CV2026

Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification

Xulin Li, Yan Lu, Bin Liu +6

In real applications, person re-identification (ReID) is expected to retrieve the target person at any time, including both daytime and nighttime, ranging from short-term to long-t…

cs.CV20262 cited

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

Xulin Li, Yan Lu, Bin Liu +7

Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) among different people first and…