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From the 1 of 15 linked papers with an AI index.

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20242026
most citedCausal Clothes-Invariant Feature Learning for Cloth-Changing Person Re-ID

5 citations · 7 across the 9 of their papers we have counts for

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12 papers · 1 filter

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.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

TextFake: Benchmarking AI-Generated Image Detection on Text-Rich Images

Yuning Zhang, Changtao Miao, Mingyu Liao +5

Recent AI-generated image (AIGI) detectors perform well on natural-image benchmarks, but their behavior on text-rich forgeries, such as fabricated screenshots, documents, and news…

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…

cs.CV2026

Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs

Xuanpu Zhao, Zhentao Tan, Dianmo Sheng +6

To enhance the perception and reasoning capabilities of multimodal large language models in complex visual scenes, recent research has introduced agent-based workflows. In these wo…