23 citations · 40 across the 7 of their papers we have counts for
7 papers
Dual-level Modality Debiasing Learning for Unsupervised Visible-Infrared Person Re-Identification
Jiaze Li, Yan Lu, Bin Liu +2
Two-stage learning pipeline has achieved promising results in unsupervised visible-infrared person re-identification (USL-VI-ReID). It first performs single-modality learning and t…
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…
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors
Yaqi Zhang, Yan Lu, Bin Liu +3
Transformer is popular in recent 3D human pose estimation, which utilizes long-term modeling to lift 2D keypoints into the 3D space. However, current transformer-based methods do n…
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
Yaqi Zhang, Di Huang, Bin Liu +7
Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent works…
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…
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…
Cross-modality Person re-identification with Shared-Specific Feature Transfer
Yan Lu, Yue Wu, Bin Liu +4
Cross-modality person re-identification (cm-ReID) is a challenging but key technology for intelligent video analysis. Existing works mainly focus on learning common representation…